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153 results for Big Data Engineer jobs

Database Engineer

Cleveland, OH
onsite
Permanent / Full Time
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-05-06T00:00:00Z

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 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.
2026-05-07T00:00:00Z

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 Architect

Green Bay, WI
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards. You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization. Key Responsibilities:<ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
2026-05-08T00:00:00Z

Data Architect

Mayfield Heights, OH
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Architect to join our team on a long-term contract basis in Cleveland, Ohio. This role involves designing scalable enterprise data platforms, ensuring data quality, and implementing robust data governance frameworks. You will play a pivotal role in leveraging Azure services and AI-driven analytics to optimize data architecture and enhance operational insights. Responsibilities:• Develop and implement enterprise-wide data architectures and canonical data models.• Establish data ownership protocols, governance standards, and quality benchmarks.• Analyze and stabilize data pipelines across distributed systems and platforms.• Perform detailed data analysis and reconciliation to identify and resolve integrity issues.• Design and implement monitoring tools to validate and improve data quality.• Enhance data observability and lineage tracking to streamline governance processes.• Utilize AI-driven analytics and automation to detect anomalies and accelerate decision-making.• Collaborate with engineering teams to align data architecture with integration services and platform requirements.• Optimize event-driven and distributed data systems for scalability and reliability.• Conduct hands-on work with Azure services, such as Azure Data Factory and Synapse, to implement solutions.
2026-05-08T00:00:00Z

Data Architect

Middleton, WI
onsite
Temporary / Contract
70 - 87 USD / Hourly
Data Architect (Product & Commerce Data)OverviewWe are seeking a Data Architect to lead the design, structure, and governance of product and consumer-facing data across a modern digital commerce ecosystem. This individual will play a critical role in shaping how product data is modeled, integrated, and delivered to create a seamless and personalized customer experience.This is a highly cross-functional role, partnering with digital, product, marketing, and data governance teams to ensure data consistency, scalability, and usability across platforms. What You’ll Do<ul><li>Architect and optimize product and consumer data models to support a dynamic B2C digital experience</li><li>Serve as the technical owner of product content and commerce data architecture, ensuring stability and scalability</li><li>Design and manage integrations between product data systems and digital commerce platforms</li><li>Partner with Product Owners, content teams, and developers to bring product data to life across digital channels</li><li>Identify gaps and inefficiencies in current data structures and recommend enhancements vs. full rebuilds</li><li>Establish and enforce data governance, data quality, and stewardship best practices</li><li>Collaborate with internal teams to align product data strategy with customer experience goals</li><li>Support the evolution of a multi-phase digital transformation, including ongoing enhancements to web and commerce platforms</li></ul> Day-to-Day<ul><li>Evaluate and refine product data structures to ensure consistency across platforms</li><li>Work hands-on with architecture and integration challenges between systems</li><li>Collaborate across business and technical teams to translate product complexity into scalable data models</li><li>Support ongoing content migration and platform enhancements</li><li>Act as a key voice in bridging business needs and technical execution</li></ul>
2026-05-06T00:00:00Z

Data Scientist (Big Data) III (Contractor)

Philadelphia, PA
remote
Temporary / Contract
50 - 55 USD / Hourly
Data Scientist (Big Data) III – ContractorEmployment Type: 27 Week Contract, Potential for Extension or ConversionLocation: MUST CURRENTLY RESIDE in Philadelphia RegionEmployment Type: Contract / TemporaryPay: Available on W2 Position OverviewThe Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.Key Responsibilities<ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
2026-05-08T00:00:00Z

Database Platform Engineer

Eden Prairie, MN
remote
Permanent / Full Time
140000 - 164000 USD / Yearly
Position: Database Platform Engineer Location: Remote - Full Time | Direct Hire Salary: $140,000 - 164,000 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 not a traditional DBA. This is a: Cloud‑native database platform engineer + architect + automation leader Core Focus Areas • AWS‑first database architecture (RDS, Aurora, PostgreSQL, DynamoDB, Redshift) • Legacy → cloud modernization • Microservice‑aligned data modeling & DDD • Performance, HA, DR, global resiliency • Event‑driven data, CDC, real‑time streaming • Infrastructure as Code & CI/CD for databases • Security, governance, compliance at scale • Enablement of product & engineering teams What Makes This Role Special • Embedded in a 0→1 product launch • Think start-up like feel in a Fortune 500 financial sound and thriving organization • Works directly with: ○ Product Engineers ○ Platform / DevOps ○ Data Integration • Owns foundational data platform standards • Shapes how databases are built from day one • AWS preferred even though enterprise is Azure Reporting Line • Reports to Sr Manager of Data Engineering & Integration • No direct reports (but strong mentorship & tremendous opportunities for advancement) *** 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. ***
2026-04-14T00:00:00Z

Database Engineer/Manager

Washington, DC
onsite
Temporary / Contract
52.89 - 52.89 USD / Hourly
We are looking for a Database Engineer/Manager to be responsible for the definition, design, implementation, documentation, and ongoing support of enterprise Database Management System (DBMS) environments supporting mission‑critical systems. This role delivers complex database solutions across multiple technical domains and plays a key role in ensuring database performance, integrity, security, availability, and scalability. The position requires advanced technical expertise, cross‑functional collaboration, and leadership in large‑scale database initiatives. Key Responsibilities:· Design, implement, and maintain enterprise DBMS architectures and standards.· Install, configure, administer, and optimize Microsoft SQL Server and Oracle databases.· Manage high availability, clustering, replication, backup, and disaster recovery solutions.· Monitor database performance, capacity, integrity, and security; troubleshoot complex issues.· Plan and execute database upgrades, patches, migrations, and modernization efforts.· Ensure compliance with security requirements, including STIGs, auditing, and encryption controls.· Maintain detailed documentation for database environments, configurations, and procedures.· Collaborate with application, DevOps, infrastructure, vendors, and client stakeholders.
2026-05-01T00:00:00Z

Senior Data Scientist

Boston, MA
remote
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices. Responsibilities: • Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems. • Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards. • Collaborate with engineering and product teams to translate data-driven insights into actionable strategies. • Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions. • Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations. • Conduct exploratory data analysis and create visualizations to communicate findings effectively. • Build and optimize ETL pipelines for efficient data transformation and integration. • Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy. • Maintain comprehensive documentation of data science workflows and processes. • Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
2026-04-22T00:00:00Z

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

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 Analyst

Stowe, VT
onsite
Permanent / Full Time
60000 - 95000 USD / Yearly
Healthcare Data Analyst We’re seeking a Data Analyst to join a healthcare company and help drive improved patient outcomes through data-driven insights. In this role, you will analyze clinical and operational data to identify trends, support quality improvement initiatives, and enhance overall care delivery. Key Responsibilities:<ul><li>Develop and maintain reports and interactive dashboards </li><li>Analyze patient, quality, and operational data to identify opportunities for improvements</li></ul>Qualifications:<ul><li>Experience working with healthcare data in a hospital or clinical environment</li><li>Strong skills in reporting and dashboard tools (e.g., Power BI, Tableau, or similar)</li><li>Proficiency in SQL and/or Excel for data analysis</li><li>Ability to communicate findings clearly to both technical and non-technical audiences</li></ul>
2026-05-06T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a detail-oriented Systems Analyst to support and optimize enterprise labeling and automation processes. This role plays a critical part in ensuring accuracy, consistency, and compliance across product labeling and operational workflows.
2026-04-23T00:00:00Z

Data Analyst

Lyon Station, PA
onsite
Temporary / Contract
23.75 - 30 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques. Responsibilities:• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.• Perform accurate data entry tasks, ensuring the integrity of numeric information.• Develop and maintain Excel formulas to streamline data processing and reporting.• Generate detailed reports and dashboards tailored to organizational needs.• Collaborate with cross-functional teams to understand data requirements and provide solutions.• Ensure data accuracy and troubleshoot discrepancies in large datasets.• Provide actionable recommendations based on findings from data analysis.• Manage and organize datasets for easy retrieval and future use.• Monitor data workflows and suggest improvements to enhance efficiency.• Maintain confidentiality and security of sensitive information.If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com
2026-04-28T00:00:00Z

Data Analyst

New Orleans, LA
onsite
Permanent / Full Time
70000 - 85000 USD / Yearly
We are looking for a detail-oriented Data Analyst to support data-driven decision-making in New Orleans, Louisiana. This role focuses on transforming raw information into clear reporting, actionable insights, and reliable dashboards for business stakeholders. The ideal candidate is comfortable working across multiple data sources and uses analytical tools to improve visibility into performance and trends. Responsibilities: • Gather, organize, and interpret data from a variety of sources to identify patterns, exceptions, and business opportunities. • Create interactive dashboards and visual reports using Power BI and Tableau to present findings in a clear and meaningful way. • Develop and maintain data integration workflows with SSIS to ensure timely and accurate movement of information between systems. • Analyze operational and business metrics, then translate results into practical recommendations for stakeholders. • Validate data quality by reviewing datasets for completeness, consistency, and accuracy before reporting is delivered. • Partner with technical and business teams to define reporting needs and produce solutions aligned with organizational goals. • Use Microsoft Excel to perform ad hoc analysis, reconciliations, and detailed data reviews when needed. • Document reporting logic, data definitions, and analytical processes to support consistency and ongoing improvements.
2026-04-27T00:00:00Z

Data Analyst

Madison, WI
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization. The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable. This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri). Key Responsibilities<ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul>
2026-05-08T00:00:00Z

Data Analyst

Austin, TX
onsite
Temporary / Contract
55.83 - 80.33 USD / Hourly
Data Analyst On-site | Austin, TX | Contract Responsiblities:<ul><li>Collect, analyze, and interpret large datasets to support business decision‑making</li><li>Develop, maintain, and automate reports, dashboards, and visualizations</li><li>Identify trends, patterns, and insights to drive data‑driven recommendations</li><li>Translate business requirements into clear analytical questions and solutions</li><li>Write and optimize SQL queries to extract and analyze data from multiple sources</li><li>Ensure data accuracy, consistency, and integrity across reports and dashboards</li><li>Partner with stakeholders across departments to understand reporting and analytics needs</li><li>Perform ad‑hoc analyses to support strategic initiatives and executive requests</li><li>Document data definitions, metrics, and reporting processes</li><li>Continuously improve data quality, reporting efficiency, and analytical processes</li></ul>
2026-04-29T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary / Contract
40 - 52 USD / Hourly
Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-05-05T00:00:00Z

Data Analyst

Corte Madera, CA
remote
Temporary / Contract
30 - 35 USD / Hourly
We are looking for a Data Analyst to support a luxury retail organization in Corte Madera, California. This Long-term Contract opportunity is ideal for someone who enjoys bringing order to complex information, partnering with creative and marketing stakeholders, and improving how data moves across teams. The role calls for strong analytical skills, comfort working across several platforms, and the ability to prepare accurate, usable data for publishing and downstream business needs. Responsibilities: • Partner with creative and marketing teams to fulfill daily data requests and ensure information is ready for active business use. • Organize, clean, and standardize inconsistent datasets gathered from multiple teams and systems to improve accuracy and usability. • Prepare and format files for downstream partners, making sure data structures align with workflow and publishing requirements. • Work across tools such as Oracle, Adobe Experience Manager, and Airtable to maintain data continuity between platforms. • Translate information between teams using different systems and file formats so assets and records remain usable throughout the process. • Support the movement and coordination of InDesign-related files and associated data between cross-functional teams. • Investigate and resolve metadata or tagging issues that affect file organization, discoverability, or handoff quality. • Guide team members on approved data handling practices to promote consistency and reduce operational confusion. • Assist senior colleagues with documentation, shadowing, and knowledge-sharing activities to strengthen team capability over time.
2026-05-06T00:00:00Z

Data Analyst

Philadelphia, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations. Responsibilities: • Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems. • Develop and implement fraud detection models using advanced analytics tools and techniques. • Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions. • Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively. • Generate comprehensive reports and dashboards to present findings and support decision-making. • Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols. • Optimize data workflows and processes to enhance efficiency and accuracy. • Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis. • Provide recommendations to improve system integrity and prevent future fraudulent activities.
2026-04-30T00:00:00Z

Data Analyst

Mechanicsville, VA
onsite
Temporary / Contract
40 - 45 USD / Hourly
We are looking for a Data Analyst to join a Contract assignment in Mechanicsville, Virginia. This position focuses on evaluating financial and operational data tied to Azure cloud services and on-premises infrastructure, helping teams make informed decisions around forecasting, budgeting, and cost efficiency. The ideal candidate brings strong analytical capability, comfort with financial reporting, and the ability to turn complex data into clear business insights. Responsibilities: • Examine cloud and infrastructure spending data to identify trends, usage patterns, and cost drivers across Azure and on-premises environments. • Build and refine Power BI dashboards and reporting tools that highlight budget performance, workload efficiency, and the financial impact of server-related changes. • Compare forecasted and actual technology spend on a monthly and annual basis, investigating variances and surfacing potential savings opportunities. • Maintain and improve reporting datasets by consolidating information from sources such as Apptio, Azure platforms, and SharePoint while preserving data quality. • Create clear documentation for recurring reporting methods, analytical workflows, and financial data management practices. • Partner with cloud operations, infrastructure teams, and finance stakeholders to ensure cost models reflect real operational conditions and business priorities. • Support migration and capacity planning efforts by modeling future cost scenarios and estimating resource needs for Azure environments. • Provide analysis that supports FinOps initiatives, including insights into utilization behavior, billing trends, and optimization opportunities.
2026-05-04T00:00:00Z

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