Data Analyst

INTRODUCTION And WHAT YOU WILL DO (Job Responsibilities)

The Data Analyst (Mid-Level) partners with business stakeholders to translate questions into clear, actionable analytics use cases and delivers a first pass of SQL code and datasets to support reporting and decision‑making. The role applies data modeling best practices and leverages ETL/data transformation tools to create reusable, well‑structured data assets. This position will also support agile execution by helping facilitate Scrum ceremonies and maintaining transparency and flow of work through Azure Dev Ops.

• Partner with business stakeholders to understand objectives, define the problem, and translate requests into clear analytics use cases and requirements.
• Define, document, and align on metrics/KPIs, including assumptions and acceptance criteria.
• Help run Scrum ceremonies (standups, backlog refinement, sprint planning, demos, retrospectives) and drive follow‑ups on action items.
• Manage work items in Azure Dev Ops (intake, prioritization support, status updates), surface blockers/risks, and communicate progress to stakeholders.
• Perform data discovery to identify relevant source systems, tables, and fields; assess data availability and quality.
• Develop first‑pass SQL queries and datasets to address business requests; iterate quickly based on feedback.
• Validate outputs using QA techniques (reconciliations, spot checks, trend checks, edge‑case testing) and document findings/limitations.
• Apply data modeling fundamentals to produce analytics‑ready datasets (e.g., correct grain, keys, relationships; fact/dimension concepts where appropriate).

• 3–6 years of experience in a Data Analyst / BI Analyst / Analytics role delivering business‑facing analytics solutions.
• Strong SQL skills (joins, CTEs, aggregations, window functions) with ability to debug and improve query logic/performance.
• Proven experience gathering requirements and translating business questions into clear deliverables (datasets, analyses, or reporting‑ready outputs).
• Working knowledge of data modeling concepts (grain, keys, relationships; familiarity with dimensional modeling principles).
• Experience working in an agile environment and facilitating or co‑leading Scrum ceremonies; proficiency managing work in Azure Dev Ops (Boards/Backlogs).

• Experience with ETL/data transformation tools and repeatable transformation workflows (tool‑agnostic).
• Experience with a modern data warehouse or analytics platform (e.g., Snowflake, Big Query, Redshift, Databricks, SQL Server).
• Experience with BI/reporting tools (e.g., Power BI, Tableau, Looker) and understanding downstream reporting impacts of dataset design.

• Clearly defined analytics use cases with documented requirements, KPI definitions, and acceptance criteria.
• First‑pass SQL queries and validated datasets that meet the business request, with documented logic and assumptions.
• Curated, analytics‑ready data assets (modeled and/or transformed) suitable for reuse in reporting and ongoing analysis.

• Faster turnaround from business question to usable dataset through improved intake, clarity, and iterative delivery.
• Improved consistency and trust in reporting via standard metrics, QA practices, and documented data logic/lineage.
• Increased team predictability and stakeholder transparency through effective Scrum cadence and well‑managed Azure Dev Ops backlog.

The base compensation range for this position is $85,000 to $110,000 per year. Your actual base salary will be determined based upon a number of factors which may include relevant experience, skills, location (labor market data), credentials (education, certifications), and internal equity.

This position does not offer visa sponsorship. Candidates must be authorized to work in the USA without the need for employer‑sponsored visa support.

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