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Data AnalyticsPurpose
· 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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