About the Role
This position involves analyzing large volumes of data to identify trends, creating reports and dashboards, and translating findings into actionable recommendations for business units.
Responsibilities
- Extract and analyze data from multiple sources to support business decisions
- Develop and maintain dashboards and reporting tools for key stakeholders
- Identify patterns and trends in data to inform strategic planning
- Collaborate with departments to define metrics and KPIs
- Translate business requirements into technical specifications
- Perform ad hoc analyses in response to leadership inquiries
- Ensure data accuracy and consistency across systems
- Optimize data collection and storage processes
- Present findings to non-technical audiences using clear visualizations
- Support process improvements through data-driven insights
- Monitor performance against business goals
- Conduct root cause analysis on operational issues
- Maintain documentation for analytical methods and data sources
- Evaluate data quality and recommend enhancements
- Assist in forecasting and modeling initiatives
- Work with engineering teams to improve data infrastructure
- Standardize reporting practices across teams
- Participate in project planning and requirement gathering
- Use statistical techniques to validate conclusions
- Ensure compliance with data governance policies
- Facilitate data literacy across departments
- Respond to evolving business needs with agile analysis
- Integrate qualitative feedback with quantitative findings
- Drive efficiency in analytics workflows
- Support audit and compliance reporting needs
Nice to Have
- Master’s degree in data science, analytics, or related field
- Experience with Python or R for data analysis
- Background in machine learning applications
- Familiarity with big data technologies such as Spark or Hadoop
- Certification in data analytics or business intelligence
- Experience in fintech or digital platforms
- Knowledge of customer behavior analytics
- Exposure to real-time data processing systems
- Experience mentoring junior analysts
- Prior work in regulated industries
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible remote options
Team
Collaborative team focused on data-driven decision-making
What We Offer
- Opportunities for professional development and growth
- Inclusive culture that values diverse perspectives
- Access to cutting-edge analytics tools and technologies
- Flexible working arrangements to support work-life balance
Application Process
- Submit your resume and a brief cover letter
- Shortlisted candidates will be contacted for a screening call
- Final stage includes a technical assessment and team interview
Available for qualified candidates
