Responsibilities

Enterprise Reporting &amp; Data Architecture

<ul>
<li>Design, develop and maintain a comprehensive reporting suite covering the full customer lifecycle (acquisition, activation, usage, delinquency, collections, retention, operations, customer support) for Credit Cards, Deposits, and other financial products</li>
</ul>

<ul>
<li>Oversee the accurate reporting and analysis of key financial metrics such as revenue, profitability, credit risk, default rates, cost of acquisition.</li>
</ul>

<ul>
<li>Design and implement enterprise dashboards, self-service BI tools, and automated reporting pipelines using tools like Apache Superset, Metabase and Tableau.</li>
</ul>

<ul>
<li>Optimize storage and reporting systems to deliver scale and responsiveness whilst maintaining low costs.</li>
</ul>

Data Integration &amp; Analytics Execution

<ul>
<li>Work closely with vendors and internal data engineering teams to define requirements for ingesting and modeling data from multiple platforms including credit bureaus, open banking, core banking, card processing, payment processing, loan origination systems, digital aggregators, CCaaS systems and others into our centralized Data Lake</li>
</ul>

Business Intelligence and Growth

<ul>
<li>Lead projects to uncover user behavior patterns, surface insights and business opportunities across acquisition channels, underwriting models, customer behavior, and portfolio performance by leveraging segmentation, cohort, and funnel analyses</li>
</ul>

<ul>
<li>Work with Product Management and Marketing to test hypotheses, evaluate product experiments (A/B tests), and inform roadmap prioritization.</li>
</ul>

Leadership

<ul>
<li>Build and lead a high-performing team of business intelligence analysts and data visualization experts.</li>
</ul>

Data Governance

<ul>
<li>Define and ensure adherence to data governance best practices</li>
</ul>

Skills

<ul>
<li>Strong command of BI tools (e.g., Superset, Metabase, Tableau), Advanced SQL, and familiarity with modern data platforms (e.g., Snowflake, Redshift, BigQuery)</li>
</ul>

<ul>
<li>Deep understanding of KPIs across the credit and fintech lifecycle: acquisition, credit decisioning, delinquency, repayment, charge-off, profitability, RoA, CLTV etc</li>
</ul>

<ul>
<li>Proven ability to lead analytics teams and scale reporting infrastructure.</li>
</ul>

<ul>
<li>Excellent communication and presentation skills, with the ability to translate complex data insights into actionable business strategies.</li>
</ul>

<ul>
<li>Familiarity with data governance frameworks, privacy and security best practices in financial services.</li>
</ul>

Experience and Qualifications

<ul>
<li>10+ years of work experience in Business Intelligence, with at least 3+ years specifically in the credit card industry.</li>
</ul>

<ul>
<li>3+ years in a leadership role managing a team of analysts or data professionals.</li>
</ul>

<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Statistics or a related field</li>
</ul>

Data Analytics in Delhi (UID-10128)

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