Job Description

Roles & Responsibilities

Responsibilities

Collect, analyze, and interpret large datasets to identify trends and patterns.
Develop clear and insightful visualizations and dashboards using tools such as Tableau, Power BI, or similar.
Collaborate with stakeholders to gather requirements and deliver relevant data solutions.
Perform data cleansing and ensure data quality.
Generate regular and ad-hoc reports to support business initiatives.
Communicate findings and insights effectively to both technical and non-technical audiences.
Stay current with data analysis and visualization best practices and tools.
- Executive reporting: recurring KPI reports, programme status summaries, budget variance analysis, milestone tracking
- Data analysis: identifying trends, anomalies, and insights across operational data (finance, HR, procurement, research portfolio)
- Visualization design: defining the right chart, metric, or narrative for each audience working with the Full Stack Engineer to implement dashboard views
- Figma mockups for new reporting surfaces wireframes and visual specs before engineering build
- Ad hoc analysis: answering leadership questions that require digging into data ("why did procurement spend spike in Q3?")
- KPI definition support: working with business owners to define meaningful, measurable KPIs
- Reporting cadence: automated or semi-automated generation of recurring status reports and summaries

Required Skills & Technologies

- SQL advanced analytical queries, window functions, aggregations, cross-source joins
- Data visualization strong opinions on when to use charts vs. tables vs. narrative; experience with Recharts, D3, Tableau, Power BI, or Looker
- Figma wireframing and prototyping reporting surfaces
- React + TypeScript ability to build or modify dashboard components (working alongside the Full Stack Engineer, not replacing them)
- Python data analysis, pandas, scripting for ad hoc analysis
- Understanding of dimensional models and how to query a warehouse
- Excel / Google Sheets quick-turn analysis and ad hoc reporting
- Business intelligence concepts: KPIs, OKRs, trend analysis, variance reporting, cohort

Desired Candidate Profile

Bachelor s degree in Data Science, Statistics, Computer Science, or a related field.

5+ years of experience in data analysis and visualization.

Proficiency in data visualization tools such as Tableau, Power BI, or equivalent.

Strong skills in SQL for data querying and manipulation.

Experience with statistical analysis and data modeling techniques.

Ability to translate complex data into understandable insights through visual storytelling.

Excellent problem-solving and critical thinking abilities.

Strong communication and collaboration skills.

Attention to detail and a passion for data accuracy.

Data Analyst & Visualization Specialist BlackStone eIT