Analytical Manager

4 weeks ago


india Wenger & Watson Inc Full time

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, chart.js.


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