Job Description :Key Responsibilities :- Own dashboards and reporting on portfolio health, disbursements, collections, and unit economics.- Write and optimize SQL against our loan, application, and payments data.- Analyse borrower behavior, delinquency, and repayment trends to inform credit policy.- Run funnel and acquisition analysis with the growth team using Google Analytics.- Support underwriting with cohort analysis and simple predictive models (e.g. default/propensity scoring).Required Experience :- 2 - 3 years in a data analyst role, ideally in fintech, lending, or financial services.- Strong SQL and hands-on Tableau (or similar BI tool).- Working knowledge of Google Analytics.- Exposure to machine learning - you've built or worked with predictive models (Python or R).- Clear communicator who thrives in an ambiguous, fast-moving https://jobeax.com/link/sc5nj3LfmPNutBEY to have Skills :- Consumer or SME credit risk / underwriting / collections analytics.- Python (pandas, scikit-learn) and cloud data warehouses (BigQuery, Snowflake, Redshift). (ref:hirist.tech)
... data refresh as per required frequencies. SQL & Data Handling - Write and optimize SQL queries for data extraction, transformation, and validation - Perform data validation and quality checks to ensure accuracy and integrity - Collaborate with IT/data engineering teams for data availability and access Stakeholder Engagement ...
... pretend like it’s for everyone but if you’re a builder who loves solving tough problems, you’ll feel right at home. The role We're looking for a sharp, hungry analyst to join the data team at Headout. This is a foundational role, you'll work closely with senior analysts and leadership to build the reports, dashboards, and ...
... Must to have : SAS Good to have: Phyton · Maps data fields from source systems to the data model, ensuring data consistency and integrity. · Analyze customer data to identify trends and patterns, providing actionable insights. · Gather, clean, and preprocess customer data from various sources. · Use data analysis tools ...
... 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Data Analyst in Bangalore we’re looking for? Your future role Take on a new challenge and apply your expertise in data analysis, reporting, and automation within a ...
We are looking for a Data Analyst with 5-6 years of experience for a 3-month contract position in Vadodara . The ideal candidate should have a strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, ...
... Own features throughout the complete lifecycle, from technical design and development through testing, deployment, and production support. - Design efficient database schemas and queries for relational databases such as MySQL and PostgreSQL . - Apply principles of loose coupling, service encapsulation, scalability, and ...
... automation outputs with visualization tools or downstream systems. Required Skills and Experience ● 2–4 years of experience as a Data Analyst, Data Scientist, or Data Engineer. ● Proven expertise in Python (Pandas, NumPy, SQLAlchemy, etc.) and SQL (MySQL, PostgreSQL, or Snowflake). ● Experience in workflow automation, data ...
... What You'll Do (Key Responsibilities) Deep-Dive Data Analytics: Write and optimize complex, advanced SQL queries to extract, manipulate, and analyze massive datasets related to customer behavior, point redemptions, and campaign performance. Data Validation & Quality Assurance: Take ownership of data accuracy. You will ...
Data Analyst Position Description Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems ...
... real-time or near-real-time data availability. - Develop and implement data quality and validation processes to ensure the accuracy, completeness, and integrity of data. - Monitor and troubleshoot data pipelines, identifying and resolving data-related issues or bottlenecks to maintain high data availability and reliability. - ...