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Job description
Primary Skills: Power BI, DAX, Power Query, SQL, Data Modeling, Power BI Service, RLS, Dataflows, Dashboard Development, Performance Optimization, Stakeholder Management. Secondary Skills: Microsoft Fabric, Azure Data Factory, Databricks, Power Apps, Power Automate, Python, Synapse, DevOps, Data Governance, FMCG/CPG Analytics.
Details:
Enterprise BI Architecture
Semantic Layer Design
Self-Service BI Strategy
Power BI Governance & COE Setup
Capacity Planning (Premium/Fabric)
Executive Dashboard Design
Team Leadership & Client Engagement.
Strong proficiency in Microsoft Excel, including advanced formulas, functions, PivotTables, charts, and data analysis.
Hands-on experience with key Excel formulas such as VLOOKUP, XLOOKUP, INDEX-MATCH, IF, SUMIF/SUMIFS, COUNTIF/COUNTIFS, AVERAGEIF, and IFERROR.
Proficiency in data cleansing, formatting, filtering, sorting, and organizing data using Excel.
Key skills
Required
Data AnalysisData GovernanceData ModelingDatabricksMS ExcelMicrosoft AzurePower BIPower QueryPythonSQLStakeholder Management
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?
