Analytics Business Analyst

Job description

Key Responsibilities • Partner with C-level and functional stakeholders to understand business objectives and define relevant KPIs and success metrics. • Translate business requirements into analytical solutions, data models, interactive dashboards, and insightful reports. • Perform hands-on data analysis, trend identification, root-cause analysis, and predictive insights using large multi-domain datasets. • Design and develop high-impact dashboards and visualizations in Power BI, Metabase, Superset or Tableau for client presentations and ongoing monitoring. • Support end-to-end analytics solution delivery from requirements to UAT, deployment, and post-go-live optimization. • Identify process improvement and automation opportunities through data insights and recommend technology-enabled solutions. • Manage analytics requirements traceability, change requests, and deliver clear documentation for client handover. Must-Have Hands-on Experience • 3-5 years of practical hands-on experience as Analytics Business Analyst in a Professional Services / Consulting firm. • Proven multi-domain exposure delivered analytics projects across at least 3 domains (Finance, HR, Operations, Sales, Supply Chain, or Customer Experience). • Strong experience conducting requirement workshops and JAD sessions with senior client stakeholders. • Delivered multiple end-to-end analytics solutions that were actively used by clients for decision making. • Hands-on expertise in building complex dashboards, data models, and actionable insights in real client engagements. Education • Bachelor’s degree in business administration, Commerce, Statistics, Information Technology, Data Science, or related field (mandatory). • MBA or Post Graduate Diploma in Business Analytics, Data Science, or Management is strongly preferred. Technical Skills • Expert-level hands-on experience with Data Structures, Modelling, Visualisation • Strong SQL skills for querying and analyzing large datasets across multiple sources. • Working knowledge of data visualization best practices, ETL concepts, and data warehousing principles. • Proficient in requirement & documentation tools: Jira, Confluence, Azure DevOps, MS Visio, and Lucidchart. • Good exposure to Python/R for basic data analysis or statistical modeling (added advantage). • Familiarity with ERP (D365, SAP), CRM systems, and cloud data platforms (Azure, AWS, Snowflake).