Analytics Engineer

We are seeking a skilled Analytics Engineer who can bridge the gap between data engineering and business analytics. The ideal candidate will work closely with stakeholders to translate business problems into scalable data solutions, build robust data models, and deliver impactful insights through modern analytics platforms.\n\nKey Responsibilities\nCollaborate with business stakeholders to understand requirements and translate them into scalable data solutions\nDesign and develop data models (dimensional models, semantic layers) using tools like Snowflake, DBT, and Power BI\nBuild and optimize Power BI datasets and reports using DAX and Power Query\nWrite efficient analytical SQL queries across Snowflake and SQL Server\nDevelop and maintain consumption-layer data models for analytics and reporting\nConsolidate and modernize data solutions to reduce technical debt\nDefine, document, and maintain business metrics and data definitions\nImplement data quality checks (DBT tests, SQL validations) and contribute to governance standards\nCollaborate with Data Engineers using Git-based workflows (PRs, code reviews)\nSupport iterative delivery in Agile environments\n\nRequired Skills & Qualifications\nBachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, Economics, or related field\n6+ years of experience in Analytics Engineering / BI Engineering / Data Analysis\nStrong expertise in SQL (advanced queries, window functions, performance tuning)\nHands-on experience with data modeling (dimensional modeling, semantic layers)\nProficiency in Power BI (DAX, Power Query, report design & optimization)\nExperience working with Snowflake or similar cloud data platforms\nStrong understanding of data visualization best practices\nExperience working with multiple data sources (warehouses, APIs, databases)\nFamiliarity with Git workflows (branching, PRs, version control)\nStrong communication skills and ability to translate data into business insights\nExperience working in Agile methodology\n\nGood to Have\nExperience with DBT for data transformation\nExposure to Python for automation or data analysis\nHands-on experience with AI coding tools (GitHub Copilot, Codex, etc.)\nExperience with MicroStrategy\nKnowledge of data governance / data catalog tools\nDomain experience in Telecom, SaaS, or B2B industries