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4 results for Data Analysis Manager in Westborough, MA

Data Engineer

Boston, MA
onsite
Temporary / Contract
39.5865 - 45.837 USD / Hourly
We are looking for a Data Engineer to support enterprise data movement and application integration efforts in Boston, Massachusetts. This Long-term Contract position will focus on building, maintaining, and enhancing custom services that transfer, load, and transform data across multiple systems. The role works closely with technical and business teams to deliver reliable integration solutions using .NET/C#, APIs, and modern deployment practices. Responsibilities: • Design, support, and improve custom integration services that move data between enterprise platforms and applications. • Build and maintain ETL processes for data loading, transformation, and system-to-system exchange. • Develop microservice-based solutions in .NET/C# to replace larger legacy integration components where needed. • Create and support API-driven integrations, including services that rely on REST and SOAP protocols. • Partner with business analysts, developers, and solution stakeholders to translate operational needs into technical data workflows. • Monitor data pipelines and integration jobs, troubleshoot failures, and resolve performance or reliability issues. • Contribute to deployment and release activities using Azure DevOps or comparable CI/CD tools. • Support integrations involving key enterprise platforms such as Salesforce and higher education systems when applicable.
2026-08-24T00:00:00Z

Data Engineer

Acton, MA
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a hybrid team in Massachusetts in a contract capacity with the potential to become permanent. This role focuses on designing dependable data solutions that support reporting, analytics, and broader business needs. The ideal candidate brings hands-on experience with modern cloud data platforms and enjoys improving data flow, structure, and performance across production environments. Responsibilities: • Design, build, and enhance scalable data pipelines that support reliable movement and transformation of enterprise data. • Create and refine Snowflake data models to ensure efficient storage, accessibility, and performance for downstream use. • Bring new internal and external data sources into existing workflows while maintaining consistency and integrity across systems. • Track pipeline health, investigate processing issues, and resolve data anomalies to keep production operations stable. • Strengthen data workflows through automation, process optimization, and improved operational efficiency. • Work closely with analysts, architects, software engineers, and business partners to deliver dependable data solutions aligned with organizational goals. • Produce clear technical documentation covering pipeline logic, data processes, and engineering standards. • Apply data quality checks, validation methods, and error-handling practices to support trustworthy and governed datasets.
2026-09-09T00:00:00Z

Financial Analyst

Lawrence, MA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
We are looking for a Financial Analyst to join a retail organization in Lawrence, Massachusetts. In this role, you will translate operational and financial data into clear insights that support informed business decisions and stronger performance. The position offers the opportunity to work closely with operations and supply chain partners while improving reporting, cost visibility, and overall financial planning. Responsibilities:• Drive the monthly close process by consolidating results, reviewing labor and operating expenses, and explaining differences compared with budget and prior-year performance.• Evaluate key cost areas such as labor, freight, logistics, and material inputs to uncover efficiency gains and strengthen product cost understanding.• Track inventory-related performance indicators and collaborate with operations and supply chain teams to improve stock levels and support effective working capital management.• Produce recurring financial summaries, KPI reports, and visual dashboards that give leadership timely insight into operational performance.• Interpret financial results to highlight emerging trends, margin drivers, and opportunities to improve profitability through practical recommendations.• Create and refine automated reporting tools using Power BI and AI-enabled solutions to increase accuracy and reduce manual effort.• Provide responsive financial support for special projects, business questions, and cross-functional analysis needs as they arise.
2026-09-02T00:00:00Z

Data Operations Engineer - EFT & Integrations

Providence, RI
remote
Temporary / Contract
75 - 90 USD / Hourly
We are looking for a senior-level Data Operations Engineer to support secure data exchange and reliable integration workflows for a long-term contract role based in Providence, Rhode Island. This position focuses on building resilient file-processing solutions, improving data reliability, and developing automation that strengthens day-to-day operations. The ideal candidate brings strong experience with Python, SQL, EFT processes, and production-grade data pipelines, along with a practical approach to troubleshooting and operational excellence. Responsibilities: • Create and maintain secure electronic file transfer solutions for inbound and outbound data exchanges using protocols such as SFTP and FTP. • Develop scalable processes to onboard partner data feeds and manage recurring integration workflows with consistency and accuracy. • Build automated controls for file validation, reconciliation, exception handling, retry logic, and operational alerting. • Write robust Python code to ingest, transform, validate, and reconcile data across operational pipelines. • Use advanced SQL to investigate data integrity, compare datasets, identify anomalies, and support trend analysis. • Monitor production data workflows, detect quality issues early, and respond quickly to processing disruptions. • Perform root-cause analysis for failed jobs or data discrepancies and implement long-term corrective actions. • Reduce manual operational effort by introducing automation, monitoring, and repeatable support procedures. • Produce clear technical documentation, support guides, and runbooks to improve ongoing operational support. • Partner with engineering, analytics, and business stakeholders to resolve integration challenges while maintaining proper security and privacy controls for sensitive data.
2026-09-09T00:00:00Z