Senior data analyst

Data Analyst

About the Role

We are looking for a Data Analyst with strong SQL, dashboarding, and business analysis skills to transform business questions into clear, actionable analytical outputs.

The ideal candidate will be comfortable working across business and technical teams, translating requirements into structured analysis, building dashboards and reports, and maintaining clear documentation around business metrics, definitions, and data logic.

Key Responsibilities

Analyze data using SQL to identify trends, opportunities, anomalies, and business issues. Build, maintain, and enhance dashboards and recurring reports for business stakeholders. Gather, refine, and document business requirements through JIRA stories, acceptance criteria, and analyst workflows. Translate business needs into structured analysis plans and measurable outputs. Create and maintain semantic definitions, metric logic, business glossary content, and knowledge documentation. Validate data quality and investigate discrepancies across systems, dashboards, and reporting layers. Present analytical findings through clear summaries, visualizations, and actionable recommendations. Partner with Product, Engineering, Data, and Business teams to improve reporting clarity and data understanding. Ensure analytical outputs are accurate, well-documented, and aligned with business objectives.

Requirements

Must-Have Skills

3+ years of experience in Data Analysis, Business Intelligence, Analytics, or a related field. Strong SQL skills with experience working with large datasets. Hands-on experience building dashboards using Tableau, Power BI, or similar BI platforms. Experience documenting requirements using JIRA, user stories, acceptance criteria, or similar methodologies. Strong business acumen with the ability to understand business questions and translate them into analytical solutions. Excellent written communication skills, particularly in documenting semantic definitions, metric logic, and business knowledge. Strong attention to detail and structured problem-solving skills. Ability to quickly understand business context, data structures, and analytical requirements. Ability to produce clear, actionable analysis with minimal ramp-up time. Strong ability to bridge communication between business and technical teams.

Nice-to-Have Skills

Experience with semantic layers, KPI frameworks, or data modeling concepts. Familiarity with Agile/Scrum delivery environments. Experience collaborating with both technical and non-technical stakeholders. Experience working with business glossaries, data catalogs, or knowledge management practices.

What We're Looking For

The ideal candidate is a business-oriented Data Analyst who can work independently, ask the right questions, and turn complex data into insights that stakeholders can understand and act upon. Strong communication, documentation, and analytical thinking are just as important as technical SQL and BI skills.