Collaborate with account teams to capture reporting requirements and translate them into clear technical specifications.
Provide data insights through trend analysis, KPI monitoring and interpretation of dashboard findings, clearly explaining performance drivers, risks and operational opportunities to business and client teams.
Partner with operations to understand reporting gaps and recommend appropriate tools or analytical solutions that enhance visibility, decision making and workflow efficiency.
Assist with client onboarding through data assessments, mapping exercises and validation of reporting needs.
Build and enhance Power BI dashboards, datasets and data models following established standards.
Write foundational T SQL queries to prepare data, validate logic and troubleshoot discrepancies.
Conduct User Acceptance Testing for new releases, dashboards and data improvements.
Document business rules, data definitions and reporting logic to support transparency and consistency.
Support business as usual activities including investigation of data issues, validation of source to target mappings and identification of root causes.

Bachelor’s degree in Data and Analytics, IT, Business, Engineering or a related field, or equivalent work experience.
Two to three years of experience in data analysis, BI development or related analytics roles.
Hands on experience with Power BI including report development, data modeling, DAX and Power Query M.
Working knowledge of SQL for querying, validation and troubleshooting.
Familiarity with dimensional modeling concepts such as star schema structures.
Experience in requirements gathering, business process documentation or creation of analytical deliverables.
Exposure to Agile or Scrum methodologies and platforms such as Azure DevOps or Jira.
Additional skills such as Python, Power Apps, Power Automate, Azure Data Factory, Databricks or Alteryx are a plus.

Data Analyst

Key skills