IT Associate Data Analyst

About the role

The IT Associate Data Analyst partners with Customer-facing business teams and IT delivery teams to unlock business insights through trusted, well-mapped, and well-understood data. Serving as a liaison between the business and IT, this role develops a strong working knowledge of Eversource Customer data ecosystem (Customer data products, Enterprise Data Platform (EDP) availability, and how data supports day-to-day business processes) and works closely with business partners to anticipate needs and translate business questions into clear data requirements, mapping logic, and testable acceptance criteria.

Responsibilities

• Partner with business and technology stakeholders to understand objectives, processes, and decision needs; translate them into clear analytical and data requirements.
• Elicit, document, and manage functional requirements, user stories, and acceptance criteria aligned to data products and Enterprise Data Platform (EDP) strategy.
• Develop and maintain source-to-target data mappings, business rules, and data relationship/lineage documentation; ensure end-to-end traceability from requirements through business signoff.
• Execute data validation and reconciliation (source-to-target, transformation logic, completeness, exception analysis) and support UAT/defect triage and regression checks as needed.
• Investigate and triage data issues; isolate root cause and coordinate resolution with architects, data engineers, application owners, and delivery teams.
• Lead and facilitate business/IT meetings; conduct workflow/process analysis, identify improvement opportunities, and support solution design, development, and implementation.
• Support agile delivery by preparing/refining backlogs (epics/features/stories) and partnering with product owners and teams on prioritization, sprint planning, and grooming.
• Create and maintain enablement materials (definitions, dataset usage guidance, FAQs, job aids/training) to promote consistent, responsible self-service use of Domain data.
• Support vendor/procurement activities (RFP/RFI) and contribute to statements of work when applicable.

Requirements

Essential Functions:

• Partner with business and technology stakeholders to understand objectives, processes, and decision needs; translate them into clear analytical and data requirements.
• Elicit, document, and manage functional requirements, user stories, and acceptance criteria aligned to data products and Enterprise Data Platform (EDP) strategy.
• Develop and maintain source-to-target data mappings, business rules, and data relationship/lineage documentation; ensure end-to-end traceability from requirements through business signoff.
• Execute data validation and reconciliation (source-to-target, transformation logic, completeness, exception analysis) and support UAT/defect triage.
• Investigate and triage data issues; isolate root cause and coordinate resolution with architects, data engineers, application owners, and delivery teams.
• Lead and facilitate business/IT meetings; conduct workflow/process analysis, identify improvement opportunities, and support solution design, development, and implementation.
• Support agile delivery by preparing/refining backlogs (epics/features/stories) and partnering with product owners and teams on prioritization, sprint planning, and grooming.
• Create and maintain enablement materials (definitions, dataset usage guidance, FAQs, job aids/training) to promote consistent, responsible self-service use of Domain data.
• Support vendor/procurement activities (RFP/RFI) and contribute to statements of work when applicable.

Qualifications

• Zero (0) to three (3) years demonstrated application of Business Analysis skills.
• Prior experience in the utility industry is a plus.

Skills

• Technical Knowledge/Skill: Enable business users to find, understand, and use Customer data responsibly by documenting data definitions, metric logic, and dataset guidance (e.g., FAQs/common issues).
• Elicit and document data/analytics requirements (user stories, acceptance criteria) and translate business questions into data definitions and testable outcomes.
• Perform hands-on data analysis (profiling, trends/outliers, reconciliation) to support insights and troubleshoot data quality issues.
• Create and validate source-to-target mappings, business rules, and lineage/relationship documentation (Source → EDP → downstream consumption).
• Execute data validation and testing (source-to-target checks, transformation logic verification, completeness/exception analysis) and support UAT/defect triage.
• Use SQL (or equivalent querying) and Excel to validate data, reconcile results, and produce repeatable analysis.
• Understand data flows and integration concepts (pipelines, latency, transformations) and how upstream changes impact downstream reporting.
• Triage data issues with technical evidence, isolate likely root cause (source anomaly vs. mapping/transformation vs. timing/integration), and coordinate resolution with engineering and application teams.
• Communicate findings clearly to technical and non-technical audiences; facilitate discussions to align on definitions, assumptions, and next steps.
• Comfortable working in agile delivery teams and using common tools (e.g., Jira/Azure DevOps) to manage requirements, testing artifacts, and issues.
• Maintain clear, organized documentation and follow data/IT standards and controls as applicable (definitions, mappings, test evidence, issue notes).

Benefits

Compensation and Benefits:

• Eversource offers a competitive total rewards program.
• Annual salary range for this position is: $81,000.00-$90,000.00.

Pay

$81,000.00 - $90,000.00 Annually

Schedule

Regular Full-Time

Benefits

Check out our careers site for an overview of our benefits programs.