Business Analysis / Data Analysis Specialist

Role Overview

We are looking for a skilled and inquisitive Business/Data Analysis expert who can serve as the link between company data, operational workflows, and strategic planning. This hybrid function involves transforming intricate datasets into straightforward business insights, assessing operational processes, and converting business requirements into detailed technical documentation.

Key Responsibilities

You will collaborate closely with Product Managers, Data Engineers, Operations leaders, and Department Heads to detect bottlenecks, analyze performance trends, and devise data-supported solutions that enhance business effectiveness. Tasks include developing complex SQL queries, creating automated business intelligence dashboards, modeling critical KPIs, carrying out root-cause variance investigations, and documenting business functional needs. Additionally, you will facilitate discovery meetings, ensure data accuracy across enterprise systems, assist in user acceptance testing, and deliver actionable presentations to both technical teams and business stakeholders.

Required Qualifications and Skills

• Bachelor's degree or higher in Business Analytics, Data Analytics, Computer Science, Information Systems, Statistics, Finance, Industrial Engineering, or a related quantitative discipline.
• Proven expertise in requirements engineering and business analysis principles, including elicitation of functional and non-functional requirements, user story writing, business process mapping (using BPMN or flowcharts), and conducting gap and feasibility analyses.
• Advanced SQL skills for complex queries involving joins, CTEs, window functions, and subqueries on relational databases and cloud warehouses like PostgreSQL, MySQL, Snowflake, or BigQuery.
• Experience designing and managing interactive enterprise dashboards and self-service reporting solutions with Power BI, Tableau, or Looker.
• Strong understanding of relational data modeling, statistical methods, trend forecasting, and cohort/funnel analysis techniques.
• Advanced spreadsheet skills using Microsoft Excel or Google Sheets, including pivot tables, XLOOKUP, INDEX/MATCH, complex formulas, and data verification.
• Experience in system testing and data validation, including data reconciliation, backend data verification against dashboards, creation of test cases, and leading user acceptance testing sessions.
• Outstanding analytical problem-solving capabilities with a proven ability to distill unstructured data into significant business insights.
• Excellent stakeholder management and storytelling skills to communicate complex data insights as actionable advice to both business leaders and executives.
• Familiarity with Agile and Scrum methodologies, and using collaboration tools such as Jira, Confluence, Asana, or Azure DevOps.
• Meticulous attention to detail, adaptability, proactivity, and a strong commitment to data integrity, process transparency, and ongoing learning in analytics.