Data Analyst

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 modern
  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.