Manager - Analytics

Gurugram, Haryana, India | Business Analytics | Full-time

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About Grofers:

Having launched in December 2013, Grofers is now the 5th largest organized grocery retailer in India with operations in 16 cities. Grofers became the largest e-grocer in the country with an annualized GMV run-rate of $700mn on the back of its flagship event Grand Orange Bag Days in August 2019. The online grocer also runs the largest grocery membership program in the country called Smart Bachat Club and has over 1.2 million transacting users a month. Grofers is now foraying into the offline retail space through a partnership with neighbourhood Kirana stores which would allow the e-grocer to further disrupt the category and open a new source of growth with an omni-channel strategy.

Marquee investors in the organization are SoftBank Vision Fund, Tiger Global and Sequoia Capital.

 

Objective of the Role:

We are looking for an analytics manager to mentor out team of young data analysts and manage the processes and people responsible for data collection, processing, modelling and analysis. The candidate should have a knack for turning data sets into solutions and the business mindset to convert insights into strategic opportunities for our company.

The analytics manager will be working closely with stakeholders across product, marketing, customer experience and other verticals to support and implement high-quality, data-driven decisions.

Analytics manager will also ensure data accuracy and consistent reporting by having team to follow optimal processes/procedures. Analytics manager will also need to use advanced data modelling, predictive modelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives to support business outcomes.

 

Key Responsibilities:

  • Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions
  • Design and build technical processes to address business issues
  • Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics
  • Recruit, train, develop and supervise analyst-level employees
  • Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes
  • Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables
  • Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
  • Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc
  • Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements
  • Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs
  • Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders
  • Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company

 

Desired Skills & abilities: 

  • Bachelor's degrees math/statistics/computer science/Engineering etc
  • Minimum 4 years of experience
  • Strong mathematical and analytical skills are needed
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources
  • Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units
  • Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc
  • Experience working with and creating databases and dashboards using all relevant data to inform decisions
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
  • Strong problem solving, quantitative and analytical abilities
  • Strong ability to plan and manage multiple processes, people and projects simultaneously
  • Excellent communication, collaboration and delegation skills