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10 results for Remote Data jobs

Business Analytics/Data Analyst
  • Stamford, CT
  • remote
  • Temporary / Contract
  • 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>
  • 2026-04-23T00:00:00Z
Data Engineer
  • Grandville, MI
  • remote
  • Temporary to Hire
  • 40 - 55 USD / Hourly
  • We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams.<br><br>Responsibilities:<br>• Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives.<br>• Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses.<br>• Ensure data governance policies are implemented and monitored, including retention and backup protocols.<br>• Collaborate with teams across departments to translate business requirements into technical specifications.<br>• Monitor and optimize the performance of data assets, identifying opportunities for improvement.<br>• Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure.<br>• Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities.<br>• Mentor and support team members by sharing technical expertise and providing guidance.<br>• Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement.<br>• Stay up to date with emerging trends and advancements in data engineering and architecture.
  • 2026-04-24T00:00:00Z
Data Engineer
  • Charlotte, NC
  • remote
  • Permanent / Full Time
  • 0 - 0 USD / Yearly
  • <ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
  • 2026-04-22T00:00:00Z
Data Automation Engineer
  • Houston, TX
  • remote
  • Temporary / Contract
  • 39 - 44 USD / Hourly
  • <p>Position Overview</p><p>We 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.</p><p>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.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering &amp; Automation</p><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><p>Performance Testing &amp; Optimization</p><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><p>Platform Collaboration &amp; DevOps Support</p><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
Bid Data Specialist
  • Austin, TX
  • remote
  • Temporary / Contract
  • 14.25 - 19 USD / Hourly
  • <p>We are looking for a detail-oriented Bid Data Specialist to join our team on a long-term contract basis. This role involves supporting the bidding team by managing bid opportunities, processing project data, and ensuring accurate documentation. If you are highly organized and have an eye for precision, this position offers an excellent opportunity to contribute to a fast-paced work environment.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and interpret bid opportunities in the construction industry to generate accurate project reports.</p><p>• Collect and manage private and Construction Manager (CM) bid project plans for assigned regions.</p><p>• Accurately process incoming bid opportunities by adhering to established workflows and prioritization guidelines.</p><p>• Ensure all required documentation is completed to maintain the integrity of data collection processes.</p><p>• Monitor and meet performance metrics by maintaining accurate and timely data entry.</p><p>• Conduct outbound calls to gather relevant information and confirm project details.</p><p>• Perform thorough internet research to support data accuracy and completeness.</p><p>• Collaborate with team members to maintain high standards in a production-driven environment.</p><p>• Stay informed about key players and regional activities within the construction industry.</p><p>• Support the bidding team in achieving overall project goals and deadlines.</p>
  • 2026-04-30T00:00:00Z
Director of Data & Analytics
  • Des Moines, IA
  • remote
  • Permanent / Full Time
  • 150000 - 180000 USD / Yearly
  • <p><strong>Position: Director of Data &amp; Analytics</strong></p><p><strong>Location: Fully Remote </strong></p><p><strong>Salary: $150,000 - 180,000 base + excellent benefits</strong></p><p> </p><p><strong>*** 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. ***</strong></p><p>This is a <strong>new, high‑impact leadership role</strong> 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 <strong>retail, manufacturing, or distribution</strong> to shape how insights power day‑to‑day decisions across the business.</p><p>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.</p><p><strong>Where you’ll make an impact</strong></p><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><p><strong>Ideal background</strong></p><ul><li>Senior, hands‑on data leadership experience in <strong>retail, manufacturing, wholesale, or supply‑chain‑driven environments</strong></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><p><strong>Why this role stands out</strong></p><ul><li><strong>Fully remote</strong> 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 <strong>growth and advancement</strong> as the organization scales</li></ul><p><strong>*** 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. *** </strong></p><p> </p>
  • 2026-04-24T00:00:00Z
Data Privacy Consultant
  • Minneapolis, MN
  • remote
  • Temporary / Contract
  • 60 - 72 USD / Hourly
  • <p>We are looking for an experienced Data Privacy Consultant to support and advise our client. In this role, you will play a critical part in ensuring compliance with privacy regulations while supporting the development of a new, data-driven product line. This is a long-term contract position offering an opportunity to make a significant impact in the service industry.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with the product team to implement privacy-by-design principles throughout the development lifecycle.</p><p>• Assess and ensure compliance with applicable privacy regulations and requirements.</p><p>• Serve as a trusted advisor for privacy-related matters, providing expertise and guidance to internal stakeholders.</p><p>• Conduct thorough analyses of client data to identify potential privacy risks and recommend actionable solutions.</p><p>• Develop and maintain privacy policies, procedures, and documentation to support organizational compliance.</p><p>• Monitor emerging privacy trends and regulations to proactively address potential impacts on the organization.</p><p>• Offer insights and recommendations to enhance data protection strategies and safeguard sensitive information.</p>
  • 2026-05-04T00:00:00Z
Financial Data Analyst - Entry Level
  • Trenton, NJ
  • remote
  • Temporary to Hire
  • 18 - 18 USD / Hourly
  • <p>We are seeking detail-oriented Financial Data Analysts to support data validation, quality assurance, and maintenance of financial datasets. This role requires strong attention to detail, the ability to follow structured processes, and consistency in executing defined workflows. The ideal candidate is comfortable working with large volumes of data while maintaining a high level of accuracy in a fast-paced environment.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Maintain and ensure the accuracy and completeness of assigned financial datasets</li><li>Review, validate, and update structured data based on established guidelines and procedures</li><li>Execute process-driven tasks with precision and consistency</li><li>Perform quality assurance checks to identify discrepancies or data issues</li><li>Document updates, findings, and exceptions clearly for tracking and audit purposes</li><li>Collaborate with team members to meet productivity and quality targets</li></ul><p><br></p>
  • 2026-04-30T00:00:00Z
Financial Data Analyst
  • Trenton, NJ
  • remote
  • Temporary / Contract
  • 17 - 18 USD / Hourly
  • <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Analyze financial datasets to identify patterns, inconsistencies, and meaningful insights that support business decisions</p><p>• Review and interpret unstructured financial text and convert key details into organized, usable information</p><p>• Prepare spreadsheets, summaries, and recurring reports using advanced Microsoft Excel functions and formulas</p><p>• Enter, validate, and maintain numeric financial information with a high level of accuracy and attention to detail</p><p>• Work across various financial software platforms to gather data, update records, and support analysis requests</p><p>• Assist with market-related research by monitoring financial information and compiling findings for internal stakeholders</p>
  • 2026-04-29T00:00:00Z
Data Scientist (Big Data) III (Contractor)
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 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>
  • 2026-04-20T00:00:00Z