Analyst/Sr Analyst/Consultant - Data Analytics - credit Cards exp required
- Duration: Permanent
- Type: Fulltime
- Location - Serilingampally Hyderabad / Makarba, Ahmedabad,
Work Mode
- Working Days: 5
- Working Mode - Work from Office
- Shift Timings - Regular Shift Timings
- Interview Process - 2 Rounds (Virtual)
- Analyst (1-3 Years)
Budget: up to 12 LPA
Location: Ahmedabad/HYD
JD: Attached
- Sr Analyst
Budget: up to 18 LPA
Location: Ahmedabad/HYD
JD: Attached
- Consultant
Budget: up to 25 LPA
Location: Ahmedabad/ HYD
JD: Attached |
Note: Credit Card Exp is mandatory for all the roles.
- Data Analyst
Experience: 1-3 years
Education: degree in engineering, data science, or any related
Role & Responsibilities
Proven track record of managing and delivering analytics projects, including dashboards, predictive models.
Experience in providing solution architecture - describing the problem statement and approach in solving.
Ability to guide analysts and review the work products, including code.
Ability to defend the results from analysis, predictive models in front of the clients.
Advanced programming skills; experience using other programming and data manipulation languages like SQL;
Should have excellent skills with Advanced Excel, Logical thinking, Credit card analytics knowledge is an add-on.
Experian Sandbox (Ascend platform) experience/knowledge is good to have.
Ability to work with large datasets, across multiple systems.
Experience of working with clients in financial services vertical is preferable.
Exposure to cloud technologies
Ability to create decks for client presentations.
- Senior Analyst
Experience : 4 6 years
Role Overview
We are looking for a Senior Analyst / Consultant with strong analytical and problem-solving skills and can understand business requirement.
Lead a team 2-3 people.
The candidate will be responsible for analyzing business data, developing dashboards and reports, and generating actionable insights to support business decision-making.
Experience in credit card acquisition, customer onboarding, banking analytics will be an added advantage.
Key Responsibilities
Analyze large and complex datasets to identify business trends, opportunities, and performance drivers.
Write and optimize complex SQL queries to extract, transform, and analyze data from multiple sources.
Develop and maintain interactive dashboards and MIS reports using tools such as Power BI, Tableau, or similar platforms.
Translate business requirements into meaningful analytical solutions and performance metrics.
Conduct ad-hoc analysis to answer business questions and provide data-driven recommendations.
Track and analyze key business KPIs, identify deviations, and communicate insights to stakeholders.
Perform data validation, quality checks, and reconciliation to ensure accuracy and consistency of reporting.
Work closely with business, product, operations, and technology teams to understand requirements and deliver analytics solutions.
Present analytical findings and recommendations clearly to both technical and non-technical stakeholders.
Identify opportunities to automate recurring reports and improve existing analytical processes.
Lead a team of 2-3 people.
Required Skills
SQL
Excel
Python (good to have)
Dashboard / MIS reporting
Data analytics
- Analytics Consultant
Experience: 8+ years
Education: Degree in data analytics, data science or any related field
Roles And Responsibilities
Develop and implement credit card acquisition, portfolio management, and customer lifecycle strategies based on data insights
Lead multiple analytics projects with minimal supervision
Analyze large datasets using SQL to identify trends and improvement opportunities
Design and optimize Champion-Challenger tests to enhance acquisitions and customer management initiatives
Collaborate with stakeholders to present insights and influence decision-making
Mentor junior analysts in analytics and data / domain knowledge
Document key projects and maintain them in on shared space
Mandatory Required Qualifications
8+ years of experience in credit card acquisition, portfolio management, credit risk, or operations analytics.
Basic knowledge of credit card business, customer lifecycle, and performance metrics
Advanced SQL skills to manage large and complex datasets
Strong business acumen and problem-solving skills with proven ability to manage competing priorities and deliverables
Excellent communication, and data visualization skills