DPMS & Economics Lead Bali

  • Grab
  • Indonesia
  • Sep 10, 2019

Job Description

Get to know our Team:

  • We focus on humanizing big data, be a bridge between the technical and operational (market) side of business and to use data in order to align with strategic goals including growing demand efficiently & effectively, and budget cost efficiency across all of Grab’s varied business units.

  • If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit.

Get to know the Role:

  • As DPMS (Demand Planning & Marketing Strategy) & Economics Lead you will be our expert in using data to measure and analyze business performance in each our markets and lines of business.

  • Explore business issues/opportunities, uncover insights, and/or identify targeted areas for business growth

  • Applying expertise to drive high impact initiatives for demand operations and budget cost efficiency in-country from overall strategy, ideation (e.g., optimizing targeted promos & developing innovative demand approaches, incentive optimization ), experimentation & ensuring successful implementation in-country.

The day-to-day activities:

  • Monitor key metrics and alert the business on potential issues.

  • Applying and explaining microeconomic theories, using first-principles thinking.

  • Analyse operational efficiency and build business models to guide decision-making.

  • Support the Management Leader on overall demand generation operations & promo strategy within the given budget.

  • Provide oversight for in-country Marketing teams on demand generation initiatives.

  • Allocate budget appropriately for user acquisition & retention, based on market insights/competitive landscape.

  • Provide inputs to technical/product team on demand generation advancement.

  • Design market/business intelligence reports and performance measurement dashboards.

  • Partner with management and operational teams to deep dive on core issues and use our data to find answers.

  • Quality assuring the analysis of a team using big data techniques.

  • Using your analysis to persuade business decision makers to implement your idea.

  • Respectfully challenging the status quo and intuitions of business stakeholders including the regional heads and the country heads.

  • Building strong relationships with Grab Leadership and using those relationships to enact change.

  • Making strategic bets - evidence-based gambles that could prove to be game changers for Grab’s drivers and passengers.

  • Being responsible for decisions and advice on multi-million dollar budgets.

  • Support the optimization of overall user funnel (from awareness to loyalty).

  • Provide inputs to technical/product team on demand generation advancement.

  • Coordinate cross-functional experiments to generate insights in-line with business objectives.

  • Articulate insights to various key stakeholders, along with recommended actions

The must haves:

  • A Bachelor's/Masters degree, preferably in Analytics, Statistics, Mathematic, Economics or Engineering

  • Min 3 to 5 years of relevant work experience in management/strategic consulting, telco (product/vertical management), marketing, booking apps, online payments/e-wallets, F&B/food/QSR, eCommerce and/or start-ups.

  • Strong foundation in data query/manipulation using SQL and data visualisation using tools like Tableau.

  • Ability to consistently perform comfortably under pressure in a dynamic, ultra-fast-paced environment.

  • Quantitative discipline with strong business sense and ability to articulate complex analyses results to a wide range of audiences, and translate these to actionable business insights. Primarily driven by quantitative outcome for all decision making.

  • Detail oriented. Experience in analysing & quantifying complex strategic issues tied to long-term business growth.

  • Effective communicator to both technical and business audiences

  • Experience in project managing complex, cross-functional projects.

  • Confident in processing and analysing complex data sets using Excel. Working understanding of SQL and experience with a mobile CLM platform is desirable.

  • Language proficiency in English and Bahasa will be highly preferred.