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Insurance company
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Insurance company logo

Insurance company

www.insurancecompany.com
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Jobs at Insurance company

Insurance company
at Insurance company
Agency job
via Wenger and Watson Inc by Sowmya J
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Chennai
17 - 23 yrs
₹1L - ₹15L / yr
skill iconData Analytics
Data Visualization
PowerBI
Tableau
Qlikview
+4 more

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.


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