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158 results for Data Science jobs

Data Warehouse Analyst

Princeton, NJ
onsite
Permanent / Full Time
70000 - 80000 USD / Yearly
We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions. Responsibilities:• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.• Automate reporting processes to improve accuracy and timeliness of operational data.• Continuously enhance data integrity and streamline workflows to optimize logistics operations.• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.• Investigate and implement tools and techniques to improve overall business intelligence capabilities.
2026-04-30T00:00:00Z

Data/Information Architect

San Antonio, TX
onsite
Temporary / Contract
65 - 72 USD / Hourly
We are looking for an experienced Data/Information Architect to join an engagement based onsite in San Antonio, Texas. In this role, you will lead the design of a modern Power BI reporting environment and help replace fragmented legacy reporting methods with a scalable, well-governed analytics solution. This position is ideal for someone who combines hands-on technical depth with strong stakeholder partnership and a practical approach to enterprise reporting strategy. Responsibilities:• Evaluate existing reporting tools, dashboards, databases, spreadsheets, and query-based outputs to understand the current analytics landscape and identify improvement opportunities.• Work with business partners to capture reporting needs, key metrics, usage trends, and priorities that will shape the target-state solution.• Define the overall Power BI architecture, including dataset strategy, semantic model structure, environment setup, and deployment approach.• Build efficient data models and reusable calculations that support scalable reporting, strong usability, and consistent business logic.• Integrate data from multiple enterprise and file-based sources while replacing manual transformation steps with streamlined Power Query processes.• Redevelop high-priority legacy reports in Power BI, improving performance, usability, and governance while reducing reliance on spreadsheets and standalone databases.• Apply security, access controls, and governance standards across datasets, reports, and workspaces to support compliance and clear ownership.• Tune model performance, refresh behavior, and query efficiency to ensure reliable reporting for business-critical use cases.• Produce clear technical documentation and provide knowledge transfer to internal teams, including recommendations for future enhancements after the engagement ends
2026-05-04T00:00:00Z

Data Automation Engineer

Houston, TX
remote
Temporary / Contract
39 - 44 USD / Hourly
Position OverviewWe are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models. Key ResponsibilitiesData Engineering & Automation<ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul>Performance Testing & Optimization<ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul>Platform Collaboration & DevOps Support<ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
2026-04-20T00:00:00Z

Data Operations Specialist

Plymouth, MN
onsite
Temporary / Contract
24 - 27 USD / Hourly
We are looking for a detail-oriented Data Operations Specialist to support master data accuracy and business partner record management for a manufacturing organization in Plymouth, Minnesota. This Long-term Contract position focuses on maintaining high-quality customer and supplier information, helping teams work from reliable data across enterprise platforms. The role partners closely with Finance, Procurement, Sales, and IT to keep records complete, compliant, and aligned with internal standards. Responsibilities:• Enter, update, and maintain business partner records for customers, suppliers, and related entities across enterprise data platforms.• Review incoming requests for new records or updates, confirm required approvals and supporting documents, and complete changes with accuracy and timeliness.• Verify critical information such as banking details, tax data, payment terms, and classification attributes using internal controls and external validation sources.• Track data quality trends by identifying duplicates, incomplete fields, and inconsistent entries, then take corrective action to improve record reliability.• Carry out data cleansing activities that strengthen reporting accuracy and reduce operational and compliance risk.• Apply established governance standards to daily data management tasks and escalate exceptions or unresolved issues to appropriate stakeholders.• Support audit and compliance efforts by organizing documentation and confirming that required records meet policy and regulatory expectations.• Maintain secure digital files and handle sensitive information in accordance with privacy, confidentiality, and record-retention requirements.• Collaborate with cross-functional partners to resolve data issues, answer record-related questions, and support ongoing operational needs.
2026-05-01T00:00:00Z

Director of Data & Analytics

Des Moines, IA
remote
Permanent / Full Time
150000 - 180000 USD / Yearly
Position: Director of Data & AnalyticsLocation: Fully Remote Salary: $150,000 - 180,000 base + excellent benefits *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***This is a new, high‑impact leadership role where data is being elevated to drive the business forward—not just report on it. The organization is investing heavily in modern analytics and enterprise systems, creating a rare opportunity for a seasoned data leader from retail, manufacturing, or distribution to shape how insights power day‑to‑day decisions across the business.If you thrive working close to operations—and enjoy turning complex, messy data into clarity—this role offers unmatched visibility, autonomy, and long‑term growth.Where you’ll make an impact<ul><li>Build and own a modern enterprise data and analytics platform from the ground up</li><li>Design scalable data architectures using Microsoft Fabric or comparable cloud platforms</li><li>Model and analyze data across core operational domains:</li><li>Order‑to‑Cash, Procure‑to‑Pay</li><li>Inventory, Warehouse, Supply Chain</li><li>Finance and Cost Management</li><li>Create reliable pipelines and transformations using SQL and modern data tools</li><li>Deliver executive‑level dashboards and insights through Power BI and Phocas</li><li>Translate operational and financial data into KPIs leaders actually use</li><li>Partner closely with operations, finance, and field leadership to drive performance</li><li>Establish strong data governance, quality, and consistency across systems</li></ul>Ideal background<ul><li>Senior, hands‑on data leadership experience in retail, manufacturing, wholesale, or supply‑chain‑driven environments</li><li>Deep expertise in SQL, data modeling, and enterprise analytics</li><li>Strong experience working with ERP and operational data</li><li>Experience with Microsoft Fabric (or similar), Power BI, and analytics platforms</li><li>Cloud data platform and modern data stack experience</li><li>Familiarity with K8, Navigator, or SPS Commerce is helpful but not required</li></ul>Why this role stands out<ul><li>Fully remote with strong executive support</li><li>Newly elevated data function with real influence</li><li>Opportunity to modernize analytics that directly impact operations and profitability</li><li>Clear runway for growth and advancement as the organization scales</li></ul>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-04-24T00:00:00Z

Data Analytics Engineer - Power BI

Ankeny, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a skilled Data Analytics Engineer with deep expertise in Power BI to join our team in Ankeny, Iowa. In this role, you will design, optimize, and manage semantic data models while ensuring the seamless performance of business intelligence tools. Your contributions will help drive data-driven decision-making across the organization. Responsibilities: • Design and implement semantic data models, including dimensional modeling and star schemas, to support business intelligence needs. • Develop and optimize Power BI reports and dashboards, ensuring high performance and efficient query execution. • Utilize Power Query (M) to transform and manipulate data for reporting purposes. • Configure and enforce row-level security within Power BI to safeguard sensitive data. • Conduct performance tuning for Power BI, including query plan optimization and refresh strategies. • Collaborate with stakeholders to understand analytical requirements and translate them into actionable insights. • Leverage tools such as Tabular Editor and deployment pipelines (Azure DevOps, GitHub) to streamline BI asset management. • Work with cloud-based data platforms, including Databricks, Snowflake, or BigQuery, to support lakehouse architectures. • Maintain adherence to enterprise BI governance practices and ensure scalable solutions for large datasets. • Implement CI/CD patterns to manage semantic models and facilitate environment promotions.
2026-04-14T00:00:00Z

Data Engineer IV

Philadelphia, PA
onsite
Temporary / Contract
55 - 65 USD / Hourly
Senior Data EngineerLocation: Philadelphia, PA (Hybrid/Onsite as required)Employment Type: 39 Week Contract, Potential for ExtensionPosition OverviewWe are seeking an experienced Data Engineer to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.Key Responsibilities<ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
2026-05-01T00:00:00Z

Financial Data Analyst

Trenton, NJ
remote
Temporary / Contract
17 - 18 USD / Hourly
We are looking for a Financial Data Analyst to support analytical and reporting activities in New Jersey. This long-term contract position is well suited for an entry-level candidate or early-career individual who brings strong Excel capabilities, a solid understanding of market concepts, and a sharp eye for interpreting complex financial information. The role offers the opportunity to work with financial data, evaluate text-based content, and contribute to accurate analysis across multiple systems and tools. Responsibilities:• Analyze financial datasets to identify patterns, inconsistencies, and meaningful insights that support business decisions• Review and interpret unstructured financial text and convert key details into organized, usable information• Prepare spreadsheets, summaries, and recurring reports using advanced Microsoft Excel functions and formulas• Enter, validate, and maintain numeric financial information with a high level of accuracy and attention to detail• Work across various financial software platforms to gather data, update records, and support analysis requests• Assist with market-related research by monitoring financial information and compiling findings for internal stakeholders
2026-04-29T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-04-03T00:00:00Z

Head of Data Science & Analytics (DTC Exp Required)

Fort Lee, NJ
onsite
Permanent / Full Time
200000 - 250000 USD / Yearly
A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals. Primary Responsibilities:<ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul>
2026-04-17T00:00:00Z

Data Analyst: III (Senior)

Thiensville, WI
onsite
Temporary / Contract
30 - 35 USD / Hourly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. In this role, you will play a vital part in transforming business requirements into actionable insights by utilizing advanced data analysis and reporting techniques. Based in Mequon, Wisconsin, this position offers an excellent opportunity to design and deliver custom reporting solutions that empower decision-making across the organization. Responsibilities: • Develop and implement reporting solutions using SQL Server Reporting Services (SSRS) and other technologies based on detailed requirement analysis. • Conduct rigorous testing of reports to ensure accuracy, performance, and alignment with business needs. • Deploy reporting solutions to both development and production environments while adhering to best practices. • Create dynamic data visualizations that simplify complex information for decision-makers. • Collaborate proactively with stakeholders to understand their needs and develop tailored reporting solutions. • Ensure compliance with security policies for data and reporting systems. • Design and maintain clear documentation for data points and reporting definitions. • Establish subscriptions and manage user permissions for reports to ensure accessibility. • Validate reports against trusted data sources to maintain consistency and reliability. • Translate business needs into measurable insights using graphs, charts, and actionable data points.
2026-04-29T00:00:00Z

Data Engineering Manager

Columbus, OH
remote
Permanent / Full Time
110000 - 120000 USD / Yearly
We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization's long-term goals. Responsibilities: • Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems. • Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability. • Collaborate with various teams to align data structures and solutions with organizational objectives. • Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices. • Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions. • Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs. • Review and validate data workflows, transformations, and reports to ensure completeness and accuracy. • Identify and implement system improvements to enhance the functionality and efficiency of data platforms. • Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime. • Mentor team members and provide technical guidance to build a highly skilled and capable team.
2026-04-22T00:00:00Z

Data Engineering Manager

San Antonio, TX
remote
Permanent / Full Time
95000 - 115000 USD / Yearly
Additional Skills: Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization. Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers. Ability to evaluate when to leverage community dbt packages versus building custom solutions. Expert-level SQL for complex analytical transformations and performance optimization. Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys. Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases. Experience designing and implementing automated data quality testing and validation frameworks. Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows. Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems. Working knowledge of DataOps practices such as version control, CI/CD, and automated testing. Knowledge of K–12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements. Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms. Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities. Strong communication and change management skills, translating technical capabilities into clear business value. Required experience: Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience. 7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles. 3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams. Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations. Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products. Expert-level SQL skills, including complex analytical queries and performance optimization Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions. Preferred Education and Experience: Master’s degree in Data Science, Statistics, Computer Science, or a related analytical field. dbt Analytics Engineering certification or equivalent demonstrated expertise Hands-on experience with Snowflake or comparable cloud data warehouse platforms. Experience working with K–12 education data, student information systems, or education analytics. Experience building data solutions for multi-state or geographically distributed organizations. Exposure to data governance practices, including business glossaries and data quality frameworks Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms). Experience leading analytics teams using Agile or iterative delivery methodologies.
2026-04-20T00:00:00Z

.Net/SQL Healthcare Data Analyst

Sarasota, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a skilled .Net/SQL Healthcare Data Analyst to join our team in Sarasota, Florida. This role is ideal for someone with a strong background in healthcare analytics and technical expertise in Python scripting, SQL Server, and reporting tools. The successful candidate will play a key role in analyzing data, gathering requirements, and supporting various IT functions. Responsibilities: • Analyze healthcare data to identify trends, insights, and actionable solutions. • Develop and maintain SQL Server databases and ensure their optimal performance. • Create and manage reports using SQL Server Reporting Services (SSRS). • Collaborate with stakeholders to gather and document technical and business requirements. • Write Python scripts to automate data processing and reporting tasks. • Provide IT support across multiple functions, ensuring seamless operations. • Work with HL7 standards to process and integrate healthcare data effectively. • Conduct quality assurance checks to ensure data accuracy and reliability. • Support cross-functional teams with data-driven insights and technical expertise.
2026-04-22T00:00:00Z

Database Engineer

Fort Lauderdale, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams. Key Responsibilities:<ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul>
2026-04-24T00:00:00Z

Business Intelligence (BI) Analyst

Florham Park, NJ
onsite
Permanent / Full Time
125000 - 160000 USD / Yearly
This role is responsible for data aggregation, data quality, reporting, and trend analysis to evaluate program and pharmacy performance. The individual must be skilled in querying and analyzing data, while also supporting end users in interpreting and visualizing insights. Success in this role requires translating business needs into technical solutions that drive accurate and actionable reporting. Key Responsibilities<ul><li>Translate business requirements into technical specifications to support data analysis and visualization</li><li>Develop a strong understanding of stakeholder objectives to create clear, impactful dashboards and reports</li><li>Write SQL queries and generate reports by extracting accurate data from multiple databases</li><li>Design and build interactive dashboards and reports using Power BI</li><li>Analyze data to identify trends, optimize processes, and deliver timely insights</li><li>Evaluate datasets for accuracy, completeness, and scope; explain anomalies or inconsistencies</li><li>Support pharmaceutical manufacturer clients with data requests, reporting, and insights</li><li>Aggregate data from multiple sources to support reporting needs</li><li>Investigate and resolve data discrepancies using SQL or statistical analysis tools</li><li>Manage daily reporting and trend analysis for multiple programs</li><li>Ensure reports meet program requirements and are delivered accurately and on time</li><li>Collaborate effectively with cross-functional teams to achieve shared objectives</li><li>Develop reporting solutions by assessing information needs, consulting with users, analyzing workflows, and following the software development lifecycle</li><li>Maintain compliance with all applicable healthcare data privacy regulations, including HIPAA</li></ul>Performance CriteriaPerformance is measured by the accuracy, quality, and timeliness of reporting, as well as effective communication with internal teams and external stakeholders. Meeting performance targets across assigned programs is essential.
2026-04-28T00:00:00Z

DTD - Professional, Data & Analytics Reporting

Wayzata, MN
onsite
Temporary / Contract
37 - 41 USD / Hourly
We are seeking a Hardware Lifecycle & Inventory Coordination Analyst to support a large‑scale computer modernization initiative, focused on improving how enterprise devices are deployed, tracked, refreshed, and reported. The organization is modernizing its hardware lifecycle processes, implementing ServiceNow Hardware Asset Management, and accelerating the device refresh cycle.The position sits within IT Asset & Hardware Coordination and is responsible for managing inventory levels, coordinating lifecycle refreshes with vendors and service providers, resolving ordering issues, and ensuring data accuracy across multiple systems.The ideal candidate has a strong IT foundation, understands PC/laptop components, can work through large datasets, and is comfortable coordinating across technical, procurement, and business teams. Key Responsibilities:· Coordinate and manage hardware inventory levels and refresh lifecycle for over 80,000 administrative devices in North America.· Support enterprise‑wide PC and laptop refresh initiatives, ensuring devices are deployed on schedule to reduce device age.· Work closely with vendors, procurement, and service providers to ensure orders are flowing correctly and resolve ordering or fulfillment issues.· Maintain and validate asset and inventory data in ServiceNow Hardware Asset Management (HAM).· Pull and analyze inventory and lifecycle data from tools such as ServiceNow, SCCM, JAMF, and Microsoft Intune.· Perform data analysis and reporting using Excel (pivot tables, lookups, analysis); Power BI dashboard experience is a plus.· Build reports and provide insights that tell a clear story with numbers and support operational decision‑making.· Communicate regularly with internal teams and, over time, end users regarding device lifecycle, ordering, and logistics.· Work independently after receiving general direction, while proactively identifying issues and opportunities for process improvement.
2026-04-27T00:00:00Z

Data Privacy Consultant

Minneapolis, MN
remote
Temporary / Contract
60 - 72 USD / Hourly
We are looking for an experienced Data Privacy Consultant to support and advise our client. In this role, you will play a critical part in ensuring compliance with privacy regulations while supporting the development of a new, data-driven product line. This is a long-term contract position offering an opportunity to make a significant impact in the service industry. Responsibilities:• Collaborate with the product team to implement privacy-by-design principles throughout the development lifecycle.• Assess and ensure compliance with applicable privacy regulations and requirements.• Serve as a trusted advisor for privacy-related matters, providing expertise and guidance to internal stakeholders.• Conduct thorough analyses of client data to identify potential privacy risks and recommend actionable solutions.• Develop and maintain privacy policies, procedures, and documentation to support organizational compliance.• Monitor emerging privacy trends and regulations to proactively address potential impacts on the organization.• Offer insights and recommendations to enhance data protection strategies and safeguard sensitive information.
2026-05-04T00:00:00Z

Sr. Python Data Engineer

Boston, MA
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
Data Engineer (Python / AWS)Location: Remote (Northeast / Greater Boston area preferred)Type: Full-TimeLevel: Mid-to-Senior Individual ContributorAbout the RoleWe are looking for a strong individual contributor who excels in the Python data ecosystem and enjoys building reliable, scalable data pipelines. This role sits within a data engineering group responsible for integrating large volumes of data from external partners and transforming it into usable datasets for internal teams. You’ll work with modern cloud tools while also helping our team gradually transition away from a legacy platform.This position is ideal for someone who wants to stay hands-on, focus on technical execution, and remain in an IC role for the next several years. We’re not looking for someone who is aiming to move immediately into architecture or leadership.This team is fully distributed, and although candidates in the Boston area can go into the office, the rest of the group is remote. Anyone local may occasionally sit with other teams when on site. What You’ll Do<ul><li>Build and maintain ETL pipelines that ingest, clean, and aggregate data received from external vendors and large enterprise partners.</li><li>Develop Python‑based data processing workflows deployed on AWS cloud services.</li><li>Work with tools such as AWS Glue, Airflow, dbt, and PySpark to support data transformations and pipeline orchestration.</li><li>Help modernize existing workflows and assist in the gradual migration away from a legacy data system.</li><li>Collaborate with internal stakeholders to understand data needs, define requirements, and ensure reliable integration of partner data feeds.</li><li>Troubleshoot pipeline issues, optimize performance, and improve overall system stability.</li><li>Contribute to best practices around code quality, testing, documentation, and data governance.</li></ul>
2026-04-30T00:00:00Z

Marketing Data Analyst

Alexandria, VA
onsite
Temporary / Contract
50 - 55 USD / Hourly
Robert Half is seeking a detail‑driven Marketing Data Analyst for a Washington, DC client. This temporary role is ideal for someone who can quickly step into a fast‑paced marketing environment, analyze campaign performance, and translate data into insights that drive strategy and growth.Key Responsibilities<ul><li>Analyze marketing campaign performance across digital channels (email, social, paid media, web)</li><li>Build dashboards and reports to track KPIs, conversion metrics, and audience behavior</li><li>Clean, validate, and organize marketing datasets from CRM, automation platforms, and analytics tools</li><li>Provide insights and recommendations to improve targeting, segmentation, and ROI</li><li>Support A/B testing, attribution modeling, and customer journey analysis</li><li>Collaborate with marketing, sales, and product teams to align data insights with business goals</li><li>Maintain data accuracy and documentation for ongoing reporting processes</li><li> </li></ul>
2026-04-27T00:00:00Z

Master Data Specialist

Mendota Heights, MN
onsite
Temporary / Contract
19 - 22 USD / Hourly
We are looking for a Master Data Specialist to support customer and product record maintenance for a scientific instrument manufacturing organization in Mendota Heights, Minnesota. This is a Contract position suited for someone who can learn new processes quickly, manage detailed data updates across multiple platforms, and make sound decisions in a fast-moving environment. The role goes beyond basic entry work and requires careful interpretation of account information, regulatory considerations, and documentation needs to ensure downstream business activities run smoothly. Candidates should be comfortable working independently after training, with the ability to stay productive in a remote setting and adapt to evolving priorities. Responsibilities: • Maintain and update master data records for customer accounts and related setups with a strong focus on precision, completeness, and turnaround time. • Review incoming change requests, determine the correct data actions needed, and resolve inconsistencies by applying business rules, licensing requirements, tax considerations, and audit expectations. • Work across several business applications at the same time, including enterprise and document management systems, to complete account maintenance accurately and efficiently. • Support the creation and upkeep of foundational data that enables quoting, order processing, shipping, and required documentation to proceed correctly. • Investigate record issues, identify missing or conflicting information, and troubleshoot data problems before updates are finalized. • Participate in virtual training, absorb new procedures quickly, and apply them effectively within a short onboarding period. • Adjust to shifting priorities and expanded data responsibilities, including additional master data scope and new tools introduced to the team. • Manage daily assignments independently with limited oversight while maintaining consistent productivity and quality in a remote work environment.
2026-04-30T00:00:00Z

Business Analyst (Power BI)

Elizabethtown, NC
remote
Temporary / Contract
0 - 0 USD / Yearly
6‑Month Contract‑to‑Hire | W2 Only | Fully Remote (EST Preferred)We’re looking for a hands‑on, insight‑driven Business Analyst to join a growing team on a 6‑month contract‑to‑hire basis. This role is W2 only (no C2C) and fully remote, with a strong preference for candidates who can work EST hours.This is not a passive reporting role. We need someone who loves digging into data, proactively uncovering insights, and turning numbers into clear recommendations that drive business decisions. You’ll work closely with internal stakeholders—including leadership—supporting areas like Operations, Merchandising, Marketing, and Store Performance. What You’ll Do<ul><li>Own and build Power BI dashboards, reports, and visualizations from end to end</li><li>Proactively analyze data and surface insights—not just respond to requests</li><li>Translate sales, margin, pricing, promotion, and operational data into actionable recommendations</li><li>Identify trends, risks, and opportunities across a multi‑unit retail environment</li><li>Partner with cross‑functional teams and present findings to leadership</li><li>Work with large, complex datasets using Power BI and Excel</li></ul>
2026-05-01T00:00:00Z

Bid Data Specialist

Austin, TX
remote
Temporary / Contract
14.25 - 19 USD / Hourly
We are looking for a detail-oriented Bid Data Specialist to join our team on a long-term contract basis. This role involves supporting the bidding team by managing bid opportunities, processing project data, and ensuring accurate documentation. If you are highly organized and have an eye for precision, this position offers an excellent opportunity to contribute to a fast-paced work environment. Responsibilities:• Analyze and interpret bid opportunities in the construction industry to generate accurate project reports.• Collect and manage private and Construction Manager (CM) bid project plans for assigned regions.• Accurately process incoming bid opportunities by adhering to established workflows and prioritization guidelines.• Ensure all required documentation is completed to maintain the integrity of data collection processes.• Monitor and meet performance metrics by maintaining accurate and timely data entry.• Conduct outbound calls to gather relevant information and confirm project details.• Perform thorough internet research to support data accuracy and completeness.• Collaborate with team members to maintain high standards in a production-driven environment.• Stay informed about key players and regional activities within the construction industry.• Support the bidding team in achieving overall project goals and deadlines.
2026-04-30T00:00:00Z

Full Stack Data Engineer

Charlotte, NC
onsite
Temporary / Contract
60 - 72 USD / Hourly
We are seeking a highly skilled Full Stack Data Engineer who thrives in building modern, scalable data platforms from the ground up. This is an opportunity to work on a cloud-native data stack, influence architecture decisions, and deliver solutions that directly power business insights and operations.If you enjoy owning the full lifecycle—from data ingestion to application layer—this role will be a strong fit. What You’ll DoYou will operate as a hands-on engineer across the full data stack:<ul><li>Design, build, and maintain scalable ELT pipelines and workflows</li><li>Develop and optimize data models and warehouse structures in Snowflake</li><li>Build full stack data applications and backend services</li><li>Write clean, efficient Python and SQL code</li><li>Develop reusable data frameworks and components</li><li>Implement automated testing for data quality and reliability</li><li>Build and maintain CI/CD pipelines (GitHub-based)</li><li>Create reporting and visualization solutions (Power BI or similar)</li><li>Monitor production systems and troubleshoot data issues proactively</li></ul>Tech Stack<ul><li>Data Platform: Snowflake</li><li>Languages: Python, SQL</li><li>Cloud: AWS / Azure / GCP (environment dependent)</li><li>DevOps: GitHub, CI/CD pipelines</li><li>Visualization: Power BI (or similar BI tools)</li></ul>
2026-04-22T00:00:00Z

Data Entry

Atlanta, GA
onsite
Temporary / Contract
18 - 25 USD / Hourly
The Data Entry Clerk is responsible for accurately entering, updating, and maintaining information in company systems and databases. This role requires strong attention to detail, efficiency, and the ability to handle confidential information. The ideal candidate is dependable, organized, and comfortable working with repetitive tasks while meeting deadlines. Key Responsibilities<ul><li>Enter and update data into internal systems, spreadsheets, or databases</li><li>Review data for accuracy, completeness, and consistency</li><li>Verify and correct discrepancies in records or source documents</li><li>Maintain digital and/or paper filing systems</li><li>Generate basic reports as needed</li><li>Follow data security and confidentiality guidelines</li><li>Support administrative teams with clerical tasks as assigned</li></ul>
2026-05-01T00:00:00Z

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