Head of Data Science

1 month ago

Greater Chennai Area, India Wenger & Watson Full time

Role – Analytics and BI Head

Title – Associate Director

Years of Experience –18-20 years

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, modelling,

and analysis.

Key Responsibilities

Responsibilities will include but will not be restricted to:

● Lead cross-functional projects involving advanced data modelling 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 modelling principles: KPI Tree creation, Reporting best practices,

predictive analytics, statistical and ML-based modelling techniques

● Work Experience of 15++ years in analytics inclusive of 5+ years of experience in leading a team. Candidates

from the General 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 ETL tools, SQL, Hadoop, AWS RedShift

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

▪ Experience with data visualization tools: Tableau OR BI tools.

▪ Experience with Adobe Analytics and other analytics tools.

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