Data Analyst & Visualization Specialist
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Key skills for this role
About the Role
BlackStone eIT is looking for a skilled Data Analyst & Visualization Specialist to join our team. In this role, you will analyze complex data sets and create compelling visualizations that facilitate data-driven decision making.
Key Skills for This Role
Full Job Posting
Overview
BlackStone eIT is looking for a skilled Data Analyst & Visualization Specialist to join our team.
In this role, you will analyze complex data sets and create compelling visualizations that facilitate data-driven decision making.
You will work closely with business units to understand their analytical needs and transform data into actionable insights.
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 Paid Time Off Training & Development Performance Bonus 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.
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
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