We are looking for a data-driven
and analytical Data Analyst to join our growing Analytics team. In this role,
you will transform complex business data into meaningful insights that drive
strategic decisions across Product, Risk, Operations, and Business teams. You
will work with large datasets, build dashboards, automate reporting, and
identify trends that improve business performance and operational efficiency.

The ideal candidate has strong SQL
skills, hands-on experience with Snowflake and BI tools, and is passionate
about solving business problems through data.

What we expect you to perform:

​

- Collect, analyze, and interpret large volumes of
structured and unstructured data to identify trends, patterns, and business
opportunities.

- Translate business questions into analytical
solutions and actionable recommendations.

- Perform exploratory data analysis (EDA) to
uncover insights that support strategic decision-making.

- Present analytical findings through clear
visualizations and executive-friendly reports.

- Design, build, and maintain interactive
dashboards using Tableau (or similar BI platforms).

- Develop automated reports to monitor business
KPIs, operational metrics, and performance trends.

- Ensure reporting accuracy, consistency, and
timely delivery across stakeholders.

- Continuously improve reporting processes through
automation.

- Write complex SQL queries to extract, transform,
and validate data from Snowflake and relational databases.

- Develop reusable datasets and reporting layers
for business users.

- Ensure high-quality, reliable, and
well-documented data assets.

- Work with engineering teams to improve data
availability and accessibility.

- Analyze customer behaviour, operational
performance, product usage, and business metrics.

- Support Product,



Risk, Finance, and Operations
teams with ad-hoc analysis.

- Identify key business drivers influencing
growth, retention, productivity, and profitability.

- Recommend process improvements based on
analytical findings.

- Monitor data quality, completeness, and
consistency across reporting systems.

- Identify anomalies, inconsistencies, and root
causes of data issues.

- Collaborate with Engineering teams to resolve
data discrepancies.

- Support data governance and documentation
initiatives.

- Automate recurring reports and manual analytical
processes using SQL and Python.

- Improve reporting efficiency by developing
scalable analytical solutions.

- Support data pipeline validation and analytical
workflow optimisation.

- Contribute to continuous improvement initiatives
across the analytics function.

- Partner with Product, Engineering, Finance,
Operations, and Business teams to understand analytical requirements.

- Communicate technical findings to non-technical
stakeholders in a simple and meaningful manner.

- Participate in requirement gathering, solution
design, and business review meetings.

- Support data-driven decision-making across the
organization.

Requirements

What we are looking for:

- 3–5 years of experience as a Data Analyst, or
similar analytical role.

- Bachelor's or Master's degree in Computer
Science, Statistics, Mathematics, Economics, Engineering,



Information Systems,
or a related quantitative discipline.

- Strong analytical thinking with excellent
problem-solving skills.

- Experience working with large datasets and
business reporting.

- Ability to convert business requirements into
analytical solutions.

- Strong stakeholder management and communication
skills.

- Experience working in fintech, banking, lending,
financial services, or technology companies is preferred.

- Strong SQL skills with experience writing
complex joins, CTEs, window functions, stored procedures, and performance
optimization.

- Hands-on experience with Snowflake or up-to-date
cloud data warehouses.

- Python for data analysis and automation (Pandas,
NumPy, Matplotlib, etc.).

- Experience developing reusable analytical
scripts and automating workflows.

- Strong understanding of data modelling, KPI
development, business metrics, and statistical analysis.

- Experience with trend analysis, forecasting,
segmentation, and root cause analysis.

- Knowledge of A/B testing and experimentation is
an advantage.

- Experience working with ETL processes and data
transformation.

- Understanding of data quality, governance, and
validation principles.

- Exposure to cloud platforms (AWS preferred) is a
plus.

Preferred Skills

- Experience in fintech, digital lending, banking,
payments, or financial services.

- Knowledge of customer lifecycle analytics,
operational analytics, or business intelligence.

- Familiarity with Git, Jira, and Agile
development methodologies.

- Basic understanding of machine learning concepts
and predictive analytics is an added advantage.

- Experience working with APIs and modern data
ecosystems is desirable.

📌 Data Analyst (Serilingampalle (M))
🏢 Important Group
📍 Serilingampalle (M)