ApplySarthi

Analytics Consultant

Experian

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1,893 open analytics roles across 370 companies are on ApplySarthi right now, most of them in Bengaluru (172), Hyderabad (101), Delhi NCR (66).

What analytics roles keep asking for: SQL (51%), Python (42%), Tableau (24%), Stakeholder management (22%), Excel (21%), Power BI (19%), Data modelling (17%), AWS (16%) — counted across their open postings here.

Machine learning jobs · Python jobs

Experian has 397 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for analytics roles keep coming back to SQL, Python, Tableau, Stakeholder management. Practise those questions before you sit with Experian.

Questions you are likely to be asked

  1. Why do you want to join Experian?
  2. What is your experience with Machine learning? Tell me one thing you learned the hard way.
  3. How do you check that your numbers are right before you share them?
  4. Walk me through a dashboard or report you built. Who used it, and for what?
  5. Explain a join or a window function you have used, and why you needed it.

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We are hiring an Analytics Consultant to build advanced credit risk models and deliver data-driven solutions for financial services clients. In this role, you will leverage machine learning, bureau and alternative data, and risk analytics expertise to drive underwriting, decisioning, and portfolio management strategies. What you'll be doing Deliver high-quality analytical and value-added services to clients, ensuring excellence in execution and adherence to agreed timelines. Build best-in-class risk models leveraging bureau, alternative, and emerging data sources to drive informed business decisions and portfolio performance. Provide subject matter expertise in acquisition strategies, credit risk assessment, and limit assignment to support business growth and risk management objectives. Partner closely with business stakeholders, technical consultants, and delivery teams to establish shared understanding, align on requirements, and successfully deliver proposed solutions. Use data-driven analysis, customer insights, and market understanding to develop compelling value propositions that create measurable value for customers. Contribute as a trusted advisor by combining analytical expertise, strategic thinking, and cross-functional collaboration to deliver impactful client outcomes. What we are looking for 8+ years of experience in credit risk modelling across the customer lifecycle, with strong MSME lending and portfolio risk management expertise. Hands-on experience developing statistical and machine learning models using Python/SAS, including Logistic Regression, Decision Trees, Gradient Boosting, and KNN. Strong knowledge of MSME underwriting, credit assessment, risk segmentation, bureau-based and alternate-data lending frameworks. Proven ability to analyze large datasets, apply advanced statistical techniques, and translate analytical insights into business outcomes. Experience managing large-scale analytics projects within banking, financial services, or international banking environments; credit bureau and decisioning experience preferred. Ability to interpret technical and modelling outputs into clear commercial recommendations and business benefits. Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits: Great compensation package and discretionary bonus plan Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more! 25 days annual leave with 13 bank holidays and 3 volunteering days. You can also purchase additional annual leave. You will report to Senior Analytics Consultant. Role Location: Mumbai Experian is an equal opportunities employer Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @ experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers . Experian Careers - Creating a better tomorrow together #LI-Onsite Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

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Listed on smartrecruiters · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Experian, not by us.