BI Engineer

Location

India

Posted

37 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

BI Engineer

Creditstar

Role Description We are seeking a skilled BI Engineer with 3–7 years of experience to support data-driven decision-making. The ideal candidate will have strong expertise in data modeling, SQL, and modern data stack tools, familiarity with credit or lending metrics is a strong plus, as you'll be working closely with risk and finance teams where domain context matters as much as technical skill. Key Responsibilities - Design, build, and maintain Power BI dashboards that serve as the primary reporting layer for finance, risk, and product teams, owning both the accuracy and performance of what gets published. - Write efficient, well-structured SQL queries against Snowflake to extract, validate, and shape data for reporting and ad-hoc analysis. - Design and implement scalable semantic data models in Power BI including DAX measures, star-schema structures, and calculated tables, ensuring reports perform reliably at scale. - Build and manage data transformation logic using dbt, collaborating with the data engineering team to ensure the right data is available, structured correctly, and ready for the BI layer. - Partner with finance, risk, and product stakeholders to translate business questions into well-defined reporting requirements. - Own data validation and quality checks across your reporting surfaces. - Contribute to metric governance: documenting definitions, business logic, and calculation methodology so that key terms like "active loan" or "default rate" mean the same thing across every report and every market. - Identify opportunities to improve existing reports, reduce manual processes, and increase self-service capability across business teams. Qualifications - Strong proficiency in SQL - Hands-on experience with Power BI and DAX - Experience with Snowflake or other cloud data warehouses - Solid understanding of data modeling concepts - Experience with dbt or similar data transformation tools - Strong analytical and problem-solving skills Nice to Have - Experience in the lending/financial services domain - Knowledge of Python or scripting for data analysis - Familiarity with ETL/ELT processes - Exposure to cloud platforms (AWS, Azure, or GCP) - Understanding of data governance and data quality frameworks Minimum Qualifications - Bachelor’s degree in Engineering, Computer Science, Statistics, or related field - 3–7 years of relevant experience in data analytics or BI roles Benefits - Direct influence on data-driven products that reach millions of people - A talented international team with a collaborative culture - A dynamic, challenging, and rewarding role in a rapidly expanding international company - Health Insurance, Life Insurance, and Provident Fund (PF)

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