Kumaran Systems: Engineering Future-Ready Transformations Since 1992, Kumaran Systems has been helping enterprises bridge the past and the future, reimagining legacy systems and embracing AI-led possibilities. With over 34 years of delivery excellence, we specialise in re-engineering core applications, driving cloud transformation, and building automation-first, GenAI-enabled ecosystems across the Banking and Financial Services, Insurance, Telecom, and Automotive sectors. We help organisations not just upgrade their systems but reimagine what’s possible.
Why Kumaran?
We blend engineering discipline with AI innovation, helping clients modernise with confidence, automate with clarity, and scale with purpose. Our global delivery model ensures agility, responsiveness, and seamless collaboration, with clients always at the heart of every engagement. At Kumaran, we don’t just solve problems, we engineer future-ready transformations.
Drive data-informed decision making by translating business needs into clear requirements and scalable Power BI solutions. You will own the end-to-end analytics lifecycle—from discovery and requirement gathering to data modeling, dashboard development, governance, and user adoption.
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Requirements & Analysis
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Lead workshops, interviews, and process mapping (BPMN) to capture business goals, KPIs, and pain points.
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Produce BRDs/FRDs, user stories, acceptance criteria, and process/data flow diagrams.
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Perform gap, feasibility, and cost–benefit analyses; conduct root-cause analysis using data.
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Data & BI Delivery
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Define metrics and data contracts; translate KPIs into semantic models and datasets.
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Build Power BI dashboards and paginated reports with robust DAX measures and Power Query (M).
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Design star/snowflake models; optimize relationships, aggregations, and query performance.
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Implement row-level security (RLS), certified datasets, and deployment pipelines in Power BI Service.
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Manage workspaces, gateways, refresh schedules, and versioning; coordinate releases and UAT.
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Governance & Quality
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Establish data definitions, dictionaries, and lineage documentation.
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Partner with data engineering on ETL/ELT, ensuring data integrity, security, and compliance.
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Define test plans, validate results, and maintain runbooks and support SOPs.
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Stakeholder Management & Adoption
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Act as a bridge between business, product, and engineering; prioritize backlogs (Jira/Azure DevOps).
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Deliver training, usage guidance, and change management to drive self-service analytics.
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Present insights and recommendations with clear storytelling.
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4–7 years as a Business/Systems Analyst, including 2+ years hands-on with Power BI.
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Strong Power BI skills: DAX, Power Query (M), data modeling (star schema), performance tuning, RLS.
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Proficient SQL (joins, CTEs, window functions) and data profiling.
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Experience with BI lifecycle in Agile/Scrum environments (Jira/Azure DevOps/Confluence).
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Excellent communication, facilitation, and stakeholder management skills.
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Exposure to Azure analytics stack (Azure SQL, Synapse, Data Lake, Data Factory) or equivalent.
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Knowledge of APIs/REST/JSON, ETL/ELT concepts; familiarity with Git-based workflows.
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Tools: DAX Studio, Tabular Editor, ALM Toolkit; experience with Power BI Premium features.
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Certifications: Microsoft PL-300 (Power BI Data Analyst), PSM/CSPO, IIBA CCBA/CBAP.
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Nice-to-have: Python/R for analytics, statistics, Power Automate/Power Apps, embedded analytics.
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Domain experience in [BFSI/Healthcare/Retail/Manufacturing/etc.].
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Report adoption and satisfaction (usage growth, NPS).
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Cycle time from request to deployment; backlog throughput.
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Data quality and refresh reliability; reduction in manual reporting hours.
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Performance benchmarks (e.g., <3s median visual/DAX query time).
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Self-service enablement (share of certified datasets, reuse rate).
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Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field; MBA a plus.
Kumaran Systems is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.
