Source description
About the role
Senior Associate/Assistant Manager - Data Insights
Responsibilities
As a Data Analytics, you will work with our Credit and Analytics Team & key stakeholders to leverage our data to drive operational efficiencies and provide key data-driven insights. • Performing descriptive, predictive and prescriptive analytics. • Generating actionable insights through analysis of key metrics across functions. • Identifying the root cause through deep analysis of data to reach a point where actionable solutions can be designed. • Devising mechanisms for control, performance monitoring, and reporting to internal stakeholders. • Assist in investigating and drafting cost / benefit analysis and business requirements showcasing potential solutions for business initiatives. • Working cross-functionally with business teams to ensure development and implementation of programs as per requirements & timelines .
Requirements
• Bachelor's degree in Business, Engineering or a related field. • 3-5 years of professional experience in consulting, analytics, business analysis or comparable consumer analytics position. • Experience in developing requirements and formulating business metrics for reporting, familiarity with data visualization tools, e.g. Tableau, PowerBI, Quicksight, Google Data Studio.
• Advanced working knowledge of data mining using SQL, ETL, data warehouse as well as Excel.
• Programming languages: Python, R. • Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams. • Proven problem-solving skills, project management skills, attention to detail, and exceptional organizational skills. • Ability to deal with ambiguity and competing objectives in a fast paced environment. • Ability to display complex quantitative data in a simple, intuitive format and to present findings in a clear and concise manner.
Preferred Qualifications
- • Advanced technical or business degree (MS or MBA). • Familiarity to Hadoop Mapreduce, Hive, Spark. • Experience of leading/developing ML-AI models in production.
More at mPokket