- Communicate with business stakeholders to understand their short and longterm goals; gain insights into the business and understand/get access to all data available (internally as well as externally).
- Come up with data driven insights to help business meet their AOP targets.
- Able to influence decisionmaking with the business heads and help define strategy for respective business units.
- Define the AOP for the Analytics team and create a plan to achieve the same.
- Build the team
- Define the structure of the team and key skillsets required for team members; work with HR team to close these requirements.
- Manage the team
- Requires managing the team + escalations along with guiding the team on analytical framework setting and usage of right tools to deliver projects while meeting timelines.
- Raise the bar
- Focus on quality of data and analytics being delivered by the team.
- Drive technology requirements and investments with Head of Data Science/CTO to improve the quality and speed of analytics.
- Bridge the gap between business requirements and modelling / analytical deliverables.
- Leadership skills
- Good communication/influence to be able to drive projects within the team as well as crossfunctionally.
- Technical knowledge ((Analytics and Insights)
- Technical knowhow on relevant data and analytics tools.
- Basic sense on how to evaluate modelling approach and evaluate strength of a model.
- Communicate the business requirements to the data science and data engineering teams.
- Communicate the outputs from data science and data engineering teams to business.
- Quantify business outcome in rupee terms or benefits.
- Business knowledge (About Finance industry/ Risk) Should have a good understanding of the banks and fintechs in India.
- Risk analytics (Credit risk / Default).
- Collection analytics.
- Supply analytics (Investment Inflow).
- Marketing analytics.
- Leadership skills
- Provide hand holding and guidance.
- Resources planning and monitoring of key deliverables along with quality.
- Cross functional stake holder management and getting things done.
- Smart and Independent thinker.
- Frameworkbased approach.
- Strong business sense/acumen.
- Strong hold on numbers.
- Able to do 80:20 mathematical approach without using excel.
- Strong sense on P&L metrics and management.
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LiquiLoans - Vice President - Analytics - Mumbai, India - NDX P2P Private Limited
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