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Job Profile:-

• Appraising credit proposals and scrutinizing relevant documents prior to sanctioning and disbursement of pre owned car and ensuring compliance with organizational policies.
• Conducting comprehensive study of creditworthiness of individual clients by supervising data verification and field investigation activities.
• Evaluating financial statements of various clients and availing approval of quantum of credit considering all deviations as per policy.
• Interacting with the Field investigation FI and Risk Control Unit RCU agencies, visiting them regularly to resolve their queries, providing valuable feedback to enhance their report quality and ensure seamless execution of business operations.
• Conducted surprise visits to some customers to cross check the authenticity of the FI and RCU reports in turn avoiding fraud cases and minimizing the loses.
• Successfully maintained a Login to disbursement turn around time of 7days and a loan processing turn around time of 48 hours inclusive of FI and RCU process completion
• Pivotal in achieving minimal number of operational errors related to files disbursed.
• Implementing various trackers and reporting systems, preparing daily MIS and monthly branch reports for monitoring business performance.
• Successfully improved the branch profitability by constantly supervising the operations costs.
• Mentoring & motivating the CPA team force, imparting continuous on job training on various changes in the policy for accomplishing greater operational effectiveness.
• Conducting programmes to enhance efficiency in various business operations, setting up sales objectives and streamlining processes to ensure smooth functioning of sales and credit operations.
• Channel Management-Supervising management of files logged in through the alternate Channel as this is one of the most profit making product for the company.
• Implementing result oriented recovery plans, made Business development visits mandatory for high value disbursement rendering regular feedback to the collections team on portfolio performance

Purpose

·        The Analytics and BI Head will collaborate closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions.

·        The candidate will ensure data accuracy and consistent reporting by designing optimal processes and procedures for analytical managers and employees to create and follow.

·        The candidate will manage the processes and people responsible for correct data reporting, modeling, and analysis.

Key Responsibilities

Responsibilities will include but will not be restricted to:

·        Lead cross-functional projects involving advanced data modeling and analysis techniques and review insights that will guide strategic decisions and uncover optimization opportunities.

·        Managing project budgets and financials, including forecasting, monitoring, and reporting.

·        Providing clear and concise instructions to different teams to ensure quality delivery of analysis.

·        Maintain dashboards and performance metrics support that support key business decisions.

·        Planning and executing strategies for completing projects on time.

·        Determining the need for training and talent development.

·        Recruit, train, develop and supervise managerial level employees.

·        Examine, interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.

·        Oversee the deliverable pipeline, including rationalization, de-duplication, and prioritization.

·        Anticipate future demands of initiatives related to people, technology, budget and business across the departments and review solutions to meet these needs.

·        Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

Technical Requirements (what)

·        Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques

·        Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred.

·        Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

·        Strong problem solving, quantitative and analytical abilities.

·        Strong ability to plan and manage numerous processes, people, and projects simultaneously.

·        The right candidate will also be proficient and experienced with the following tools/programs:

§ Experience with working on big data environments: Teradata, Aster, Hadoop.

§ Experience with testing tools such as Adobe Test & Target.

§ Experience with data visualization tools: Tableau, Raw, chart.js.

§ Experience with Adobe Analytics and other analytics tools.

Desired Personal Qualities or Behavior

·        Strong leadership qualities, ability to communicate the vision crisply and drive collaboration and innovation.

·        Must be an initiative-taker.

·        Strong diligence, organizational skills, and the ability to manage multiple projects

·        Strong written and verbal communication skills, able to communicate effectively and in a professional manner with all levels of the company and outside vendors.

·        Ability to work in a diverse team environment and effectively support the demanding needs of the company.

·        Ability to work under pressure, meet deadlines with shifting priorities.