Business Analyst / Data Analyst

We are seeking an analytical, resourceful, and results-driven Business Analyst / Data Analyst to bridge the gap between complex data ecosystems and strategic business decisions. In this dual-focused role, you will take ownership of translating business objectives into measurable technical requirements while performing quantitative analyses to unlock operational and commercial insights. You will collaborate closely with product leads, engineering teams, finance specialists, and business unit heads to analyze key performance indicators (KPIs), identify operational trends, and model business scenarios. Responsibilities include designing, developing, and maintaining automated BI dashboards, crafting optimized SQL queries to query large relational databases, conducting statistical data validation, and mapping end-to-end business workflows. Additionally, you will lead data storytelling presentations for leadership, support user acceptance testing (UAT) for internal system enhancements, and establish data governance standards to ensure reporting accuracy. Success in this role requires a strong balance of technical data manipulation, business acumen, critical problem-solving skills, and the ability to explain complex data findings to non-technical stakeholders.

• Education: Bachelor's degree or higher in Business Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Administration, or a related quantitative field.
• Requirements Engineering & BA Practices: Strong background in eliciting functional and non-functional requirements, writing detailed technical specifications, creating user stories, and mapping business process flows.
• SQL & Data Extraction: Advanced proficiency in SQL (writing complex joins, window functions, subqueries, and common table expressions) to query, transform, and validate datasets across enterprise data warehouses (e.g., Snowflake, BigQuery, PostgreSQL, SQL Server).
• Data Visualization & BI Tools: Hands-on mastery in building interactive, high-impact executive dashboards and operational reports using business intelligence tools such as Power BI, Tableau, Looker, or Qlik.
• Spreadsheet & Quantitative Modeling: Advanced skills in Microsoft Excel and Google Sheets (nested formulas, Index/Match, Pivot Tables, Power Query, scenario analysis) for quick-turn variance testing and financial/operational modeling.
• Statistical Analysis & Scripting: Familiarity with exploratory data analysis (EDA), basic statistical modeling, and scripting languages (e.g., Python or R using Pandas/NumPy) for advanced analytics and automated data cleaning.
• System Testing & QA: Experience defining test cases, conducting User Acceptance Testing (UAT), verifying data pipelines, and auditing dashboard accuracy prior to production release.
• Process Mapping & Problem Solving: Sharp diagnostic and analytical problem-solving skills with a proven capability to identify process bottlenecks using tools like Lucidchart, Visio, or Miro.
• Stakeholder Management & Data Storytelling: Exceptional verbal and written communication skills, with a talent for translating complex quantitative data into actionable business recommendations for executive teams.
• Agile Frameworks: Experience working within Agile, Scrum, or Kanban environments using enterprise management tools such as Jira, Confluence, or Azure DevOps.
• Professional Attributes: High attention to detail, strong data hygiene principles, self-motivation, and an eagerness to continuously explore new analytical methodologies.