# Data Analyst & Visualization Specialist

**Company:** [BlackStone eIT](http://jobs.workable.com/companies/tibAGcW55dzHFist5SpD3s.md)
**Location:** Dubai, United Arab Emirates
**Workplace:** on site
**Employment type:** Full-time
**Department:** Outsource

[Apply for this job](http://jobs.workable.com/view/a477df82-c600-43cf-a1fa-249d82fd067b)

## Description

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

## Requirements

-   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

## Benefits

-   Paid Time Off
-   Training & Development
-   Performance Bonus