ROLE SUMMARY
The Data Analyst (PMO) at Muthoot Fincorp Limited (MFL) will be responsible for collecting, analysing, and interpreting data to provide actionable insights and support decision-making across various functions within the organization. This role requires a strong analytical mindset, attention to detail, and the ability to work collaboratively with cross-functional teams.
KEY RESPONSIBILITIES
Developing frameworks and Data Management
- Gather data from multiple internal and external sources, ensuring accuracy and completeness. Maintain and update databases, dashboards, and reporting tools to support project management activities.
- Analyze data to identify trends, patterns, and insights that support strategic and operational decision-making.
- Develop and generate regular and ad-hoc reports, dashboards, and visualizations to communicate findings to stakeholders.
- Develop and maintain data models, forecasting tools, and statistical analyses to support predictive and prescriptive analytics.
- Use advanced data analytics techniques (e.g., regression analysis, machine learning) to uncover hidden patterns and forecast future trends.
- Utilize data analytics tools and software (e.g., Excel, SQL, Python, R, Tableau, Power BI) to manipulate and analyze large datasets.
Performance Optimization
- Design, implement, and track key performance indicators (KPIs) and metrics to evaluate project success and identify areas for improvement.
- Support continuous improvement initiatives by analyzing data and recommending actions for optimization.
Stakeholder Management
- Work closely with cross-functional teams (e.g., Finance, Marketing, Operations) to gather data requirements and provide insights that align with organizational goals.
- Communicate complex data findings in a clear, concise, and actionable manner to various stakeholders, including senior management.
- Assist in preparing presentations and reports for internal and external stakeholders.
- Collaborate with IT and data teams to enhance data infrastructure, reporting capabilities, and tool integration.
KEY SKILLS & BEHAVIOURAL ATTRIBUTES
- Basic understanding of NBFC or financial services domain would have an advantage, however, not mandatory.
- Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.
- Proficiency in data analytics tools and software (e.g., SQL, Excel, Python, R, Tableau, Power BI).
- Experience with data modeling, statistical analysis, and predictive analytics.
- Attention to detail and a high level of accuracy in data management and reporting.
- Behavioral Attributes- Driven and in alignment with our Purpose Transforming the life of the common man by improving their financial well-being and anchored by our core value of integrity, collaboration, and excellence.
EDUCATION / EXPERIENCE
- Any Graduation.
- 2+ years of experience in data analytics preferably in financial services.