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Data Analyst / Consultant- Credit Card Analytics

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Onsite

Data Analyst / Consultant- Credit Card Analytics

Proclink

Data Analyst / Consultant- Credit Card Analytics

Skills

SQL QueriesTableauPythonData ScienceData VisualizationData AnalysisPower BI

18 days ago

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Important information


Contract type:

Permanent

Location:

Ahmedabad, Gujarat, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


1. 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.

2. 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

3. 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

Interested candidates can share resume at [email protected]

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