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    Analytical Manager - Chennai, India - Wenger & Watson Inc

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    Human Resources
    Description

    Analytics Manager

    Years of Experience –10+ years

    Purpose

    • Analytics Manager will collaborate closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions.
    • will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow.
    • will use advanced data modeling, predictive modeling, and analytical techniques to interpret key findings from company data and use these insights into initiatives that will support business outcomes.
    • 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:

    • cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
    • develop and maintain dashboards and performance metrics support that support key business decisions.
    • train, develop and supervise analyst-level employees.
    • and optimize processes for data modeling, analysis, and visualization
    • interpret, and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing, and product teams.
    • results and business impacts of insight initiatives to stakeholders.

    Technical Requirements (what)

    • knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques
    • Experience of 10+ years in analytics inclusive of 3+ years of experience of leading a team. Candidates from Insurance Industry are preferred.
    • SQL skills, ability to perform effective querying involving multiple tables and subqueries.
    • 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.
    • problem solving, quantitative and analytical abilities.
    • ability to plan and manage numerous processes, people, and projects simultaneously.
    • right candidate will also be proficient and experienced with the following tools/programs:
    • programming skills with querying languages: SQL.
    • with working on big data environments: Teradata, Aster, Hadoop.
    • with testing tools such as Adobe Test & Target.
    • with data visualization tools: Tableau, Raw,

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