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201 results for Data Scientist in Usa

Data Specialist

Matawan, NJ
onsite
Temporary to Hire
23 - 25 USD / Hourly
We are looking for a detail-oriented Data Specialist to join a retail food organization in Matawan, New Jersey on a contract basis with the potential for a permanent role. This position supports the accuracy, organization, and upkeep of critical business data while partnering with teams across the company to maintain reliable information and resolve discrepancies. The ideal candidate is analytical, highly organized, and comfortable balancing data administration, issue resolution, and cross-functional communication in a fast-paced office environment. Responsibilities: • Maintain accurate product, vendor, store, and employee records across internal databases and business systems. • Set up new item information for merchandising teams and update existing records to reflect current business needs. • Review promotional data and offers carefully, identifying inconsistencies and making corrections before release. • Examine data across multiple applications to verify completeness, consistency, and overall quality standards. • Investigate data-related issues, determine underlying causes, and coordinate fixes with internal stakeholders, including IT when needed. • Perform routine audits and monitor daily reports to detect errors, address exceptions, and support data governance practices. • Assist with system testing, validation activities, and the rollout of data updates to ensure dependable results. • Provide guidance to colleagues on data processes, explain how information flows through business operations, and support training material preparation.
2026-04-29T00:00:00Z

Data Specialist

Old Bridge, NJ
onsite
Permanent / Full Time
45000 - 55000 USD / Yearly
Benefits:<ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul> Responsibilities<ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
2026-04-23T00:00:00Z

Business Analytics/Data Analyst

Stamford, CT
remote
Temporary / Contract
60 - 65 USD / Hourly
Our client in the Lower Fairfield, CT area has an opening for Business Analyst Consultant. In this long-term contract role, you will play a pivotal part in driving data-driven insights and supporting strategic decisions across a dynamic organization. The ideal candidate will bring a wealth of expertise in data analysis and business intelligence, paired with a deep understanding of industry-specific practices. Responsibilities:• Produce accurate and detail-oriented reports tailored to a diverse range of stakeholders.• Leverage best practices to ensure data analysis aligns with industry standards and organizational objectives.• Collaborate with teams to deliver actionable insights based on cleaned and organized data.• Utilize expertise in multiple data systems to streamline reporting processes and enhance efficiency.• Ensure high levels of accuracy and attention to detail in all data-related outputs.• Support strategic decision-making by analyzing transaction timelines and other critical metrics.• Apply knowledge of private equity operations to optimize data reporting and visualization.• Develop and maintain data visualization tools to communicate findings effectively.• Manage the integration and analysis of data across multiple operating systems.• Partner with senior executives to align analytics initiatives with organizational goals.If you are interested in this Business Analyst role, please email your resume in a Word format to joseph.colagiacomo@roberthalf with the subject line: "Business Analyst"
2026-04-23T00:00:00Z

Business Analytics/Data Analyst

Arlington, TX
onsite
Temporary / Contract
42.75 - 49.5 USD / Hourly
We are looking for a skilled Business Analytics/Data Analyst to support data-driven decision-making and enhance business intelligence processes. In this long-term contract role, you will play a key part in analyzing complex datasets and providing actionable insights to drive organizational success. The position is based in Arlington, Texas. Responsibilities: • Conduct detailed data analysis to identify patterns, trends, and actionable insights. • Develop and maintain business intelligence reports using tools such as BusinessObjects Technologies. • Perform audits of commercial contracts to ensure compliance and accuracy. • Abstract and analyze key terms from contracts to support decision-making. • Collaborate with cross-functional teams to gather data requirements and optimize analytics processes. • Utilize advanced data analytics tools to process and interpret large datasets. • Provide recommendations to improve business operations based on data findings. • Ensure the integrity and security of data used for analysis and reporting. • Support the organization in leveraging data for strategic planning and forecasting.
2026-04-29T00:00:00Z

Director of Data Science

Saint Charles, MO
onsite
Temporary / Contract
65 - 72 USD / Hourly
We are looking for a dynamic Director of Data Science to join our team on a contract to hire basis in Saint Charles, Missouri. This is a unique opportunity to lead data governance initiatives, transform data into a strategic asset, and drive organizational impact within the education sector. The ideal candidate will thrive in a collaborative environment, working across departments to establish robust data frameworks and ensure compliance with industry standards. Responsibilities:<ul><li>Develop and implement a comprehensive data governance strategy aligned with organizational goals, AI readiness, and regulatory requirements.</li><li>Establish data governance frameworks, policies, and standards to ensure data integrity, access, and compliance.</li><li>Lead cross-functional teams to drive data stewardship, data quality initiatives, and data lifecycle management.</li><li>Select and implement data governance tools and platforms (e.g., data cataloging, stewardship, lineage).</li><li>Define and operationalize data stewardship models across the university.</li><li>Oversee data quality initiatives, including monitoring, remediation, and reporting.</li><li>Develop and enforce data quality KPIs and dashboards to track progress and impact.</li><li>Facilitate training and awareness programs on data governance best practices across the organization.</li><li>Collaborate with IT, legal, and compliance teams to ensure data governance aligns with technological and regulatory landscapes.</li><li>Measure and report on data governance effectiveness and drive continuous improvement initiatives.</li><li>Serve as a trusted advisor to executive leadership on data governance and management issues.</li></ul>
2026-04-27T00:00:00Z

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

Data Reporting Analyst

Robbinsville, NJ
onsite
Temporary / Contract
23.75 - 27.5 USD / Hourly
Data Reporting AnalystWe are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.Responsibilities<ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul>
2026-04-20T00:00:00Z

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

Data Engineer - SQL Server

West Des Moines, IA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This role is based in West Des Moines, Iowa, and offers the opportunity to work on advanced data solutions that support organizational decision-making and efficiency. The ideal candidate will have expertise in relational databases, data cleansing, and modern data warehousing technologies. Responsibilities: • Develop, maintain, and optimize data pipelines to support business operations and analytics. • Perform data extraction, transformation, and cleansing to ensure accuracy and reliability. • Collaborate with teams to design and implement data warehouses and data lakes. • Utilize Microsoft SQL Server to build and manage relational database structures. • Analyze data sources and provide recommendations for improving data quality and accessibility. • Create and maintain documentation for data processes, pipelines, and system architecture. • Implement best practices for data storage and retrieval to maximize efficiency. • Troubleshoot and resolve issues related to data processing and integration. • Stay updated on industry trends and emerging technologies to enhance data engineering solutions.
2026-04-02T00:00:00Z

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

Software Developer / Data Engineer

Huntsville, AL
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
A top-tier client of ours is seeking a Software Developer / Data Engineer to play a key role in supporting mission-critical data systems within a government intelligence environment. You’ll design and deliver high-performance data pipelines and architectures that drive advanced analytics and real-time insights. Key Responsibilities Design and implement scalable data pipelines and data architectures Develop and optimize data storage solutions (SQL, NoSQL, graph databases) Support ETL processes and ensure efficient data throughput and performance Work closely with stakeholders to translate data requirements into technical solutions Maintain and enhance data infrastructure using tools like Apache Airflow and Docker
2026-04-23T00:00:00Z

Healthcare SQL/Python Data Analyst

Sarasota, FL
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply. Responsibilities: • Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets. • Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs. • Utilize Python for advanced data processing, automation, and analytical tasks. • Integrate and manage data from multiple sources, ensuring accuracy and consistency. • Collaborate with stakeholders to gather requirements and translate them into actionable data solutions. • Design and generate reports using SSRS to present findings to internal teams and leadership. • Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems. • Troubleshoot and resolve issues related to data quality, integration, and system performance. • Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
2026-04-01T00:00:00Z

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 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>
2026-04-23T00:00:00Z

Data Ops Specialist

Corvallis, OR
onsite
Temporary / Contract
18.2115 - 21.087 USD / Hourly
We are looking for a detail-oriented Data Ops Specialist in Corvallis, Oregon. This is a Contract position focused on maintaining accurate constituent information, protecting sensitive records, and helping the team manage a backlog created by recent staffing changes. The person in this role will work closely with data operations leadership to improve workflow efficiency, support project coordination, and strengthen overall data quality. Responsibilities:• Maintain and review organizational records to ensure information is complete, accurate, and aligned with established data standards.• Enter, validate, and update constituent data across multiple record types with a strong focus on precision and consistency.• Handle confidential and sensitive information responsibly while following data privacy and security practices.• Build, adjust, and support no-code automation processes that improve the efficiency of recurring data tasks.• Collaborate with data operations leadership to clarify project goals, set priorities, and support workload planning.• Track project progress, deadlines, and deliverables using project management tools to help keep work on schedule.• Communicate with internal stakeholders to gather requirements, address issues, and support timely resolution of data-related concerns.• Identify opportunities to improve database structure, data processes, and system usage to strengthen operational effectiveness.
2026-04-28T00:00:00Z

Data/Information Architect

Portsmouth, NH
onsite
Permanent / Full Time
140000 - 180000 USD / Yearly
We are seeking a Data Architect to lead the design and evolution of data architecture. This individual will play a critical role in shaping how data is collected, stored, integrated, and consumed across the organization, supporting analytics, and reporting. The ideal candidate brings a balance of hands‑on technical depth, architectural leadership, and strong collaboration with business and technology stakeholders Responsibilities<ul><li>Lead the design and implementation of scalable, secure, and high‑performing enterprise data architectures.</li><li>Define data architecture standards, reference architectures, and best practices across platforms.</li><li>Architect data solutions supporting analytics, BI, data science, and operational reporting.</li><li>Design and oversee data models for data warehouses, data lakes, and lakehouse architectures.</li><li>Partner with application, infrastructure, security, and analytics teams to ensure seamless data integration.</li><li>Evaluate and recommend data technologies, tools, and platforms aligned to business strategy.</li><li>Establish and enforce governance, data quality, metadata management, and lineage practices.</li><li>Provide technical leadership and mentorship to data engineers and analytics teams.</li><li>Translate business requirements into actionable data solutions for senior stakeholders.</li></ul>
2026-04-01T00:00:00Z

Data/Information Architect

Dallas, TX
onsite
Permanent / Full Time
200000 - 220000 USD / Yearly
We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives. As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services. Key Responsibilities Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing). Develop and communicate AI roadmaps, future-state architectures, and design artifacts. Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms. Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis. Experiment with and fine-tune LLMs, train custom models, and assess performance metrics. Perform data exploration, cleansing, and feature engineering to prepare datasets for model training. Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows. Continuously scan industry innovations and apply emerging AI/ML technologies to business problems. What We’re Looking For Strong technical and business acumen in creating technology-driven solutions. Passion for experimenting with and adopting emerging AI/ML technologies. Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences. Proven ability to balance timeliness, cost, and quality in solution design. Experience leading digital transformation, target operating models, and performance improvement initiatives. Qualifications Bachelor’s degree in STEM or related field (MBA a plus). 5+ years in AI/ML solution architecture, prototyping, and experimentation. 5+ years working with AWS and/or Azure data, analytics, and AI services. 3+ years of experience with data science tools and frameworks. Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms. Knowledge of cloud-native services (data storage, compute, networking, security). Strong understanding of statistical methods, data preprocessing, and feature engineering.
2026-03-27T00:00:00Z

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

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

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>
2026-04-22T00:00:00Z

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

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 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

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

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