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.
Key Responsibilities
Collaborate with business stakeholders to understand requirements and translate them into scalable data solutions
Design and develop data models (dimensional models, semantic layers) using tools like Snowflake, DBT, and Power BI
Build and optimize Power BI datasets and reports using DAX and Power Query
Write efficient analytical SQL queries across Snowflake and SQL Server
Develop and maintain consumption-layer data models for analytics and reporting
Consolidate and modernize data solutions to reduce technical debt
Define, document, and maintain business metrics and data definitions
Implement data quality checks (DBT tests, SQL validations) and contribute to governance standards
Collaborate with Data Engineers using Git-based workflows (PRs, code reviews)
Support iterative delivery in Agile environments
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Data Analytics, Statistics, Mathematics, Economics, or related field
6+ years of experience in Analytics Engineering / BI Engineering / Data Analysis
Strong expertise in SQL (advanced queries, window functions, performance tuning)
Hands-on experience with data modeling (dimensional modeling, semantic layers)
Proficiency in Power BI (DAX, Power Query, report design & optimization)
Experience working with Snowflake or similar cloud data platforms
Strong understanding of data visualization best practices
Experience working with multiple data sources (warehouses, APIs, databases)
Familiarity with Git workflows (branching, PRs, version control)
Strong communication skills and ability to translate data into business insights
Experience working in Agile methodology
Good to Have
Experience with DBT for data transformation
Exposure to Python for automation or data analysis
Hands-on experience with AI coding tools (Git Hub Copilot, Codex, etc.)
Experience with Micro Strategy
Knowledge of data governance / data catalog tools
Domain experience in Telecom, Saa S, or B2 B industries