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135 results for Big Data Analytics jobs

Business Analytics/Data Analyst
  • Stamford, CT
  • remote
  • Temporary
  • 60 - 65 USD / Hourly
  • <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Produce accurate and detail-oriented reports tailored to a diverse range of stakeholders.</p><p>• Leverage best practices to ensure data analysis aligns with industry standards and organizational objectives.</p><p>• Collaborate with teams to deliver actionable insights based on cleaned and organized data.</p><p>• Utilize expertise in multiple data systems to streamline reporting processes and enhance efficiency.</p><p>• Ensure high levels of accuracy and attention to detail in all data-related outputs.</p><p>• Support strategic decision-making by analyzing transaction timelines and other critical metrics.</p><p>• Apply knowledge of private equity operations to optimize data reporting and visualization.</p><p>• Develop and maintain data visualization tools to communicate findings effectively.</p><p>• Manage the integration and analysis of data across multiple operating systems.</p><p>• Partner with senior executives to align analytics initiatives with organizational goals.</p><p>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: &quot;Business Analyst&quot;</p>
  • 2026-04-08T00:00:00Z
Business Analytics/Data Analyst
  • Arlington, TX
  • onsite
  • Temporary
  • 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.<br><br>Responsibilities:<br>• Conduct detailed data analysis to identify patterns, trends, and actionable insights.<br>• Develop and maintain business intelligence reports using tools such as BusinessObjects Technologies.<br>• Perform audits of commercial contracts to ensure compliance and accuracy.<br>• Abstract and analyze key terms from contracts to support decision-making.<br>• Collaborate with cross-functional teams to gather data requirements and optimize analytics processes.<br>• Utilize advanced data analytics tools to process and interpret large datasets.<br>• Provide recommendations to improve business operations based on data findings.<br>• Ensure the integrity and security of data used for analysis and reporting.<br>• Support the organization in leveraging data for strategic planning and forecasting.
  • 2026-04-17T00:00:00Z
Data Analyst
  • Lyon Station, PA
  • onsite
  • Temporary
  • 23.75 - 30 USD / Hourly
  • <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.</p><p>• Perform accurate data entry tasks, ensuring the integrity of numeric information.</p><p>• Develop and maintain Excel formulas to streamline data processing and reporting.</p><p>• Generate detailed reports and dashboards tailored to organizational needs.</p><p>• Collaborate with cross-functional teams to understand data requirements and provide solutions.</p><p>• Ensure data accuracy and troubleshoot discrepancies in large datasets.</p><p>• Provide actionable recommendations based on findings from data analysis.</p><p>• Manage and organize datasets for easy retrieval and future use.</p><p>• Monitor data workflows and suggest improvements to enhance efficiency.</p><p>• Maintain confidentiality and security of sensitive information.</p><p>If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com</p>
  • 2026-04-10T00:00:00Z
Data Analyst
  • Houston, TX
  • onsite
  • Temporary
  • 48 - 53 USD / Hourly
  • <p>Data Analyst – Enterprise Data &amp; Metadata</p><p>Location: Houston, TX 77002</p><p>Work Arrangement: Onsite</p><p>Schedule: 1st Shift, 9:00 AM – 5:00 PM</p><p><br></p><p>Position Overview</p><p><br></p><p>We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.</p><p>The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization.</p><p><br></p><p>Key Responsibilities</p><p>Data Mapping &amp; Documentation</p><ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul><p>Metadata Management &amp; Atlan</p><ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul><p>Data Analysis &amp; Validation</p><ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul><p>Collaboration &amp; Enablement</p><ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
  • 2026-04-08T00:00:00Z
Data Analyst
  • Cleveland, OH
  • onsite
  • Permanent
  • 100000 - 125000 USD / Yearly
  • <p>We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to enhance performance and operational efficiency.</p><p>• Create data warehouse solutions to manage and access structured and unstructured data effectively.</p><p>• Design, implement, and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish and enforce data validation procedures to ensure the reliability and consistency of information.</p><p>• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.</p><p>• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.</p>
  • 2026-04-07T00:00:00Z
Data Analyst
  • Wilmington, DE
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Wilmington, Delaware. In this role, you will play a pivotal part in designing and developing software solutions for both desktop and web applications. You will collaborate closely with business stakeholders to understand and document requirements, ensuring the delivery of robust and effective reporting and application solutions.<br><br>Responsibilities:<br>• Design and implement front-end and back-end software for complex desktop and web applications.<br>• Collaborate with business users and management to identify, analyze, and document application and reporting requirements.<br>• Develop stable and efficient solutions for Power BI reporting and application development projects.<br>• Manage all stages of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing support.<br>• Utilize best practices in software development and explore innovative solutions to meet business objectives.<br>• Optimize database objects and ensure efficient data handling and retrieval.<br>• Apply Agile methodologies to project management and software development tasks.<br>• Create and maintain comprehensive documentation for business requirements and application designs.<br>• Work independently and as part of a team to deliver high-quality results.<br>• Support scheduled updates and releases with a focus on system stability and performance.
  • 2026-04-06T00:00:00Z
Data Analyst
  • Albany, NY
  • onsite
  • Temporary
  • 19 - 22 USD / Hourly
  • We are looking for a skilled Data Analyst to join our team in Albany, New York, on a long-term contract basis. The ideal candidate will play a critical role in analyzing data to detect fraud patterns, improve operational efficiency, and support decision-making processes. This position offers an excellent opportunity to apply advanced analytics and investigative techniques while contributing to meaningful outcomes.<br><br>Responsibilities:<br>• Analyze large datasets to identify trends and anomalies indicative of fraudulent activity.<br>• Develop and implement fraud detection models and analytics tools.<br>• Collaborate with investigation teams to provide data-driven insights for anti-fraud initiatives.<br>• Interpret complex data findings and present actionable recommendations to stakeholders.<br>• Monitor and refine existing fraud detection systems to ensure accuracy and efficiency.<br>• Conduct thorough investigations using data analysis to uncover fraudulent activities.<br>• Prepare detailed reports summarizing findings and recommendations.<br>• Work closely with cross-functional teams to support fraud prevention strategies.<br>• Stay updated on industry trends and best practices related to fraud analytics.<br>• Ensure data integrity and compliance with relevant regulations.
  • 2026-04-08T00:00:00Z
Data Analyst
  • Madison, WI
  • onsite
  • Permanent
  • 70000 - 90000 USD / Yearly
  • <p>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.</p><p><br></p><p>The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable.</p><p><br></p><p><strong>This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri).</strong></p><p><br></p><p>Key Responsibilities</p><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><p><br></p>
  • 2026-04-08T00:00:00Z
Data Analyst
  • Austin, TX
  • onsite
  • Temporary
  • 55.83 - 80.33 USD / Hourly
  • <p><strong>Data Analyst</strong></p><p>On-site | Austin, TX | Contract-to-Hire</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Collect, clean, validate, and analyze large datasets to support business decision‑making</li><li>Develop and maintain reports, dashboards, and visualizations using BI tools</li><li>Analyze trends, patterns, and key performance indicators (KPIs) across business functions</li><li>Translate business requirements into data insights and actionable recommendations</li><li>Partner with stakeholders to understand data needs and define reporting solutions</li><li>Write and optimize SQL queries to extract and analyze data from multiple data sources</li><li>Ensure data accuracy, consistency, and integrity across reports and analyses</li><li>Document data definitions, metrics, and reporting processes</li><li>Support ad‑hoc analysis and executive reporting requests</li><li>Identify opportunities for process improvement through data‑driven insights</li></ul>
  • 2026-04-07T00:00:00Z
Data Analyst
  • Saint Louis, MO
  • onsite
  • Temporary
  • 48 - 70 USD / Hourly
  • <p>Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>·        Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.</p><p>·        Generate business insights and present clear, actionable recommendations to stakeholders.</p><p>·        Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.</p><p>·        Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.</p><p>·        Identify trends, patterns, and opportunities for process improvements and new initiatives.</p>
  • 2026-04-17T00:00:00Z
Data Analyst
  • Glendale, CA
  • onsite
  • Temporary
  • 59.375 - 68.75 USD / Hourly
  • <p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.</p><p>• Develop and implement fraud detection models and algorithms to enhance risk management.</p><p>• Investigate suspicious transactions and activities to identify potential fraud cases.</p><p>• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.</p><p>• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.</p><p>• Monitor and refine anti-fraud systems based on emerging threats and trends.</p><p>• Conduct research to stay informed about new fraud schemes and data analysis techniques.</p><p>• Ensure data integrity and accuracy while working with sensitive information.</p><p>• Provide actionable insights that help drive business decisions and improve operational efficiency.</p>
  • 2026-03-26T00:00:00Z
Data Analyst
  • Flint, MI
  • remote
  • Contract / Temporary to Hire
  • 23.75 - 27.5 USD / Hourly
  • We are looking for a skilled Data Analyst to join our team in Flint, Michigan. This is a contract position with the potential for a long-term role, offering an excellent opportunity to contribute to institutional research and compliance reporting while growing within the organization. The ideal candidate will bring expertise in data analysis, reporting tools, and survey administration to support data-driven decision-making processes.<br><br>Responsibilities:<br>• Lead the preparation and submission of federal and external compliance reports, ensuring accuracy and adherence to deadlines.<br>• Collaborate with academic and administrative departments to gather and validate data for reporting purposes.<br>• Maintain and update documentation, data definitions, and submission procedures to promote consistency across all reporting cycles.<br>• Monitor changes in federal and industry reporting requirements and communicate updates to relevant stakeholders.<br>• Conduct descriptive and comparative analyses to support enrollment management, academic planning, and operational decision-making.<br>• Develop dashboards, visualizations, and executive summaries to present data insights effectively to internal stakeholders.<br>• Assist in the preparation and analysis of institutional surveys for leadership and various committees.<br>• Participate in data governance discussions and contribute to improving data accuracy and consistency.<br>• Identify and document data discrepancies, gaps, and opportunities for process improvement.
  • 2026-04-10T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary
  • 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.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
  • 2026-04-06T00:00:00Z
Data Analyst
  • Avenel, NJ
  • onsite
  • Permanent
  • 80000 - 85000 USD / Yearly
  • <p>We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.</p><p>• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.</p><p>• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.</p><p>• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.</p><p>• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.</p><p>• Conduct data quality assessments and establish validation protocols to ensure data reliability.</p><p>• Document data processes, methodologies, and technical specifications for future reference.</p><p>• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.</p>
  • 2026-04-07T00:00:00Z
Data Analyst
  • Nashville, TN
  • onsite
  • Temporary
  • 38 - 45 USD / Hourly
  • <p>Robert Half is seeking a Contract Data Analyst to join our client&#39;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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
  • 2026-04-08T00:00:00Z
Data Analyst
  • Belgrade, ME
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies.<br><br>Responsibilities:<br>• Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems.<br>• Develop and manage Azure-based Data Lakes and associated cloud data services.<br>• Lead large-scale data migration projects from on-premise systems to Azure cloud environments.<br>• Create scalable data models and curated datasets to support business intelligence and reporting.<br>• Ensure data integrity, quality, governance, and security throughout all workflows.<br>• Collaborate with technical and business teams to translate requirements into impactful data solutions.<br>• Optimize data architectures to improve performance and scalability.<br>• Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers.<br>• Monitor and troubleshoot data workflows to ensure seamless operations.
  • 2026-04-01T00:00:00Z
Data Analyst
  • Minneapolis, MN
  • remote
  • Temporary
  • 25 - 28 USD / Hourly
  • We are looking for an experienced Data Analyst to join our team on a long-term contract basis. This role is essential in ensuring the accuracy and integrity of client specialist data while maintaining high service standards. Based in Minneapolis, Minnesota, the position offers the opportunity to work remotely, collaborating across teams to deliver meaningful insights and solutions.<br><br>Responsibilities:<br>• Resolve data-related incidents by updating records and querying various data sources.<br>• Apply specialist quality standards to maintain data integrity.<br>• Validate data accuracy across multiple systems to ensure consistency.<br>• Update client data based on specific requirements while adhering to service level agreements.<br>• Configure software applications both before and after system go-live.<br>• Collaborate with care organizations to gather and update data in alignment with requirements.<br>• Provide support in managing data updates and ensuring the availability of accurate information.<br>• Utilize advanced Excel formulas to standardize and compare data efficiently.<br>• Foster effective communication with clients and stakeholders to address data needs and changes.
  • 2026-04-01T00:00:00Z
Data Scientist
  • San Francisco, CA
  • onsite
  • Temporary
  • 85 - 105 USD / Hourly
  • <p>We are looking for an experienced Data Scientist to join our team in San Francisco, California. In this senior-level role, you will lead initiatives from concept to completion, leveraging your expertise in data analytics, finance, and product development. This is a hybrid (2-3 days) long-term contract position based in San Francisco and offers a unique opportunity to work on impactful projects while mentoring less experienced team members.</p><p><br></p><p>Responsibilities:</p><p>• Take full ownership of projects, managing them from initial planning through delivery and implementation.</p><p>• Develop and prototype innovative, data-driven tools, including internal tools such as pricing engines.</p><p>• Define and implement parameters and logic for pricing outputs based on large datasets.</p><p>• Build and maintain data models and prototypes to support business decision-making processes.</p><p>• Collaborate with stakeholders to ensure tools and models align with business needs and fund-related use cases.</p><p>• Perform hands-on analysis and modeling of large datasets to support pricing and tool development.</p><p>• Create solutions that integrate data insights with financial operations, enhancing efficiency and accuracy.</p><p>• Mentor and oversee less experienced team members, ensuring team goals and project deliverables are met.</p><p>• Drive execution of projects by defining requirements, managing timelines, and delivering functional products.</p><p>• Experience with large scale data processing and distributed systems like Spark or Airflow.</p><p><br></p>
  • 2026-04-17T00:00:00Z
Data Scientist
  • Saint Louis, MO
  • onsite
  • Temporary
  • 60 - 90 USD / Hourly
  • <p>Our company is seeking a highly analytical and innovative Data Scientist to join our growing team in St. Louis, Missouri. In this role, you will leverage advanced data modeling, machine learning, and statistical techniques to drive actionable business insights and support critical decision-making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>·        Develop and implement predictive models, machine learning algorithms, and analytical frameworks to solve complex business challenges</p><p>·        Analyze large datasets using statistical methods, data mining, and visualization tools</p><p>·        Collaborate with cross-functional teams to identify opportunities for data-driven improvements and deliver impactful solutions</p><p>·        Communicate results and recommendations clearly to both technical and non-technical stakeholders</p><p>·        Stay up to date with emerging trends, tools, and technologies in data science and analytics</p>
  • 2026-04-17T00:00:00Z
Data Scientist
  • Miami, FL
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p>An organization operating at global scale is seeking a <strong>Senior Data Scientist</strong> to join its corporate data science team. This role goes far beyond traditional analytics—you will develop innovative data-driven technologies, advanced machine learning models, and decision‑support systems that directly influence strategic and operational outcomes across a complex aviation and logistics environment.</p><p>The ideal candidate combines strong programming capability, deep machine learning expertise, and a solid foundation in operations research, along with the ability to clearly communicate technical insights to leaders across the business.</p><p>If you’re excited about applying science, experimentation, and advanced analytics to solve real operational problems, this role is an excellent opportunity to make a measurable impact.</p><p><br></p><p><strong>Position Summary</strong></p><p>As a Senior Data Scientist, you will partner with engineering, product, and business teams to identify opportunities where data science can drive measurable value. You will lead end‑to‑end development of predictive and prescriptive models, contribute to experimentation frameworks, and help shape the organization’s long‑term data science strategy. This role also provides technical leadership and mentorship to junior data science team members.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Strategic &amp; Technical Leadership</strong></p><ul><li>Lead the planning, design, and execution of complex data science initiatives aligned with business objectives.</li><li>Translate ambiguous business requirements into well‑defined data science projects, deliverables, and timelines.</li><li>Partner with cross‑functional stakeholders to identify impactful use cases across operations and corporate functions.</li></ul><p><strong>Data Science &amp; Modeling</strong></p><ul><li>Develop predictive, prescriptive, and optimization models to enhance operational efficiency and strategic planning.</li><li>Design and run experiments to test hypotheses and measure impact using statistical methods.</li><li>Perform exploratory data analysis to uncover insights, trends, and relationships across large and complex datasets.</li><li>Build and maintain decision‑support tools powered by machine learning and operations research techniques.</li><li>Monitor model performance in production and iterate as needed.</li></ul><p><strong>Data Engineering &amp; Analysis</strong></p><ul><li>Collect, clean, and process structured and unstructured data from internal and external sources.</li><li>Perform ETL tasks, develop data pipelines, and apply advanced data preparation techniques.</li><li>Use tools such as SQL, Python, R, Pandas, Spark, or similar frameworks to analyze large datasets.</li></ul><p><strong>Communication &amp; Collaboration</strong></p><ul><li>Create compelling visualizations, dashboards, and presentations to communicate complex insights to technical and non‑technical audiences.</li><li>Provide mentorship, guidance, and subject‑matter expertise to junior data scientists.</li><li>Contribute to the evaluation and adoption of emerging technologies, modeling techniques, and industry best practices.</li></ul><p><br></p>
  • 2026-03-23T00:00:00Z
Data Scientist
  • Cincinnati, OH
  • onsite
  • Temporary
  • 57.95 - 67.1 USD / Hourly
  • <p>We are looking for a skilled Data Scientist to join our team on a long-term contract basis. This role involves designing innovative data models, ensuring data quality, and integrating diverse data ecosystems to support advanced audience insights and campaign management. If you have a passion for leveraging big data technologies to drive impactful results, we encourage you to apply.</p><p><br></p><p>Responsibilities:</p><p>• Develop scalable data architectures and pipelines to support real-time audience data processing and activation.</p><p>• Design and optimize graph models for representing complex relationships between individuals, devices, and households.</p><p>• Integrate data from various platforms, including DSPs, SSPs, DMPs, CDPs, and clean rooms, to enable audience onboarding and campaign measurement.</p><p>• Establish and maintain data validation, deduplication, and matching pipelines to ensure data accuracy and compliance with privacy regulations.</p><p>• Collaborate with cross-functional teams, including Data Science, Product, and Ad Operations, to operationalize audience data within workflows and optimization platforms.</p><p>• Build dashboards and monitoring tools to track performance metrics such as data quality, match rates, and audience graph efficiency.</p><p>• Create and maintain data models and pipelines to support household graph development and campaign lifecycle management.</p><p>• Integrate identity provider data with first-party data to enhance audience insights.</p><p>• Ensure data systems are optimized for scalability and performance, managing billions of identifiers across millions of households.</p>
  • 2026-04-17T00:00:00Z
Data Analytics Engineer - Power BI
  • Ankeny, IA
  • onsite
  • Permanent
  • 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.<br><br>Responsibilities:<br>• Design and implement semantic data models, including dimensional modeling and star schemas, to support business intelligence needs.<br>• Develop and optimize Power BI reports and dashboards, ensuring high performance and efficient query execution.<br>• Utilize Power Query (M) to transform and manipulate data for reporting purposes.<br>• Configure and enforce row-level security within Power BI to safeguard sensitive data.<br>• Conduct performance tuning for Power BI, including query plan optimization and refresh strategies.<br>• Collaborate with stakeholders to understand analytical requirements and translate them into actionable insights.<br>• Leverage tools such as Tabular Editor and deployment pipelines (Azure DevOps, GitHub) to streamline BI asset management.<br>• Work with cloud-based data platforms, including Databricks, Snowflake, or BigQuery, to support lakehouse architectures.<br>• Maintain adherence to enterprise BI governance practices and ensure scalable solutions for large datasets.<br>• Implement CI/CD patterns to manage semantic models and facilitate environment promotions.
  • 2026-04-14T00:00:00Z
Data Scientist (Big Data) III (Contractor)
  • Philadelphia, PA
  • remote
  • Temporary
  • 50 - 55 USD / Hourly
  • <p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The 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.</p><p>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.</p><p><strong>Key Responsibilities</strong></p><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>
  • 2026-04-17T00:00:00Z
Business Intelligence Analyst
  • Murray, UT
  • remote
  • Temporary
  • 48 - 52 USD / Hourly
  • <p>We are looking for a skilled Business Intelligence Analyst to join our client&#39;s team on a short-term contract basis. In this role, you will leverage your expertise in data analysis, reporting, and dashboard creation to support executive-level decision-making and optimize IT operations. This position offers the flexibility of working remotely, making it ideal for professionals who thrive in independent environments.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and interpret complex datasets to extract actionable insights for business operations.</p><p>• Design and develop dynamic reports and dashboards tailored for executive audiences.</p><p>• Collaborate with stakeholders to gather requirements and align analytics solutions with business needs.</p><p>• Utilize Power BI and Tableau to create visually compelling and user-friendly dashboards.</p><p>• Perform integrations between organizational tools and Power BI, ensuring seamless data flow.</p><p>• Support IT operations reporting and network operations reporting through detailed analyses.</p><p>• Apply advanced data modeling techniques to structure and organize information effectively.</p><p>• Develop APIs to facilitate data sharing and enhance reporting capabilities.</p><p>• Enable data-driven decision-making by providing accurate and timely insights.</p><p>• Work independently while contributing to team objectives and fostering collaboration.</p><p><br></p><p>Top 3 Hard Skills:</p><p>1 Past experience performing API integrations between SAAS tools and Power BI</p><p>2 Experience building dashboards for an executive level audience</p><p>3 Prior experience in IT Operations reporting or network operations reporting</p>
  • 2026-03-30T00:00:00Z
Data Architect
  • Green Bay, WI
  • onsite
  • Permanent
  • 140000 - 170000 USD / Yearly
  • <p>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.</p><p><br></p><p>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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><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><p><br></p>
  • 2026-03-27T00:00:00Z
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