Senior Business Intelligence Developer - Qlik sense - Qlik view - Python -5+ yrs - Mumbai

Title: Sr. Business Intelligence Developer

Education: B.E. / B.Tech / MCA / M.Sc. (Computer Science, IT, Statistics, Mathematics or Data Science)

Years of Experience: 5 - 8 years in BI / data analytics, of which at least 3 years hands-on in Qlik Sense / QlikView, preferably in an NBFC, bank or fintech.

Salary: As per industry standards. We are looking for an energetic, passionate and result-oriented Sr. Business Intelligence Developer for Niyogin Fintech Limited, based in Mumbai. You will turn our lending, collections and financial data into reliable dashboards, MIS and insights that help business, risk, finance and senior management make faster, better decisions.

Designation : Sr. Business Intelligence Developer

Location : Mumbai

Desired Skills :

5-8 years of experience in years in BI / data analytics, with at least 3 years hands-on in Qlik; NBFC, BFSI or fintech lending experience strongly preferred.

Expert in Qlik Sense and QlikView: load scripting, data modelling, QVDs, incremental loads, set analysis, section access, QMC administration and performance tuning; NPrinting is a plus.

Hands-on in Google Looker Studio (formerly Google Data Studio): connectors, calculated fields, data blending and sharing controls.

Good working knowledge of Python for writing ETL (pandas, SQLAlchemy, APIs, scheduling via cron / Airflow) with logging and error handling.

Strong SQL (MySQL / PostgreSQL / MS SQL) and data warehousing concepts: dimensional modelling, data marts, source-to-target mapping; BigQuery / Redshift is a plus.

Good understanding of NBFC lending data and KPIs: loan lifecycle, LOS / LMS, AUM, disbursement, collection efficiency, DPD buckets, roll rates, bounce rates, PAR, vintage analysis, GNPA / NNPA and yield.

Working knowledge of ECL under Ind AS 109, provisioning, co-lending reporting, RBI regulatory returns and credit bureau (CIBIL, CRIF, Experian, Equifax) data.

Strong analytical and statistical skills: trend, variance, cohort and segmentation analysis; data quality checks and reconciliation (e.g. LMS vs. general ledger).

Awareness of data security and privacy for financial data, advanced MS Excel and Git.

Ability to turn business questions into clear metrics and present insights to senior management, and to meet tight daily and month-end reporting deadlines.

Good to have: Power BI / Tableau, basic machine learning, and Qlik or Google Cloud certifications.

Key responsibilities:

1. Designs and delivers BI dashboards and MIS by: a. Gathering requirements from business, credit, risk, collections, finance and management, and defining clear KPIs.

b. Building and maintaining dashboards in Qlik Sense, QlikView and Looker Studio, including daily / monthly MIS and board review packs.

c. Optimising Qlik applications for performance, automating report distribution and migrating QlikView apps to Qlik Sense.

2. Builds and maintains data pipelines and ETL by: a. Writing Python ETL to pull data from LOS, LMS, finance / ERP, collections, bureau and partner systems.

b. Designing staging, QVD and data-mart layers with incremental loads, job monitoring and documentation.

3. Drives NBFC portfolio analytics and data quality by: a. Analysing DPD movement, roll rates, vintage curves and collection performance by product, geography and partner.

b. Supporting risk with data for ECL, early-warning signals and portfolio monitoring, and doing ad-hoc deep dives.

c. Running data validation and reconciliations, and supplying accurate data for RBI returns, bureau submissions and audits.

4. Partners with business teams and mentors the BI team by: a. Working with business, product, technology, risk and finance teams on data needs for new products and partnerships. b. Training users on self-service dashboards, mentoring junior analysts and setting BI development standards.