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DoorDash

Runs apps for local food and grocery delivery

Associate Manager - Forecasting

Data ScienceConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, India$78.4k - $115.3kIn-person

About the Job

Requirements

  • A Master's degree in a quantitative field and at least 4 years of relevant experience, or a Bachelor's degree in a quantitative field and at least 6 years of relevant experience.
  • Strong experience in forecasting, demand planning, workforce management, operations strategy, business analytics, or a related field, with the ability to connect analytical insights to business decisions.
  • High proficiency in SQL and Excel, with the ability to build and evaluate dashboards, metrics, models, and analytical tools using platforms such as Tableau, Sigma, Power BI, QuickSight, or Looker.
  • Ability to translate ambiguous business problems into structured analyses, clear recommendations, and executable plans, and to balance customer experience, operational performance, cost, and scalability.
  • Experience leading complex, cross-functional initiatives from problem definition through implementation and measurement, working with Data Science, Business Intelligence, Data Engineering, Software Engineering, Operations, and Finance, and influencing without direct authority.
  • Ability to communicate with individual contributors, cross-functional partners, and senior leaders; exercise sound judgment; prioritize across competing workstreams; and determine when to escalate risks, recommend tradeoffs, or challenge existing processes.

Responsibilities

  • Lead demand forecasting across designated business lines and workstreams, with accountability for forecast accuracy, assumptions, risks, and recommended actions across planning horizons.
  • Ensure forecasts account for demand drivers such as initiatives, promotions, operational changes, and seasonality, and establish mechanisms for performance reviews, root-cause analysis, and continuous improvement.
  • Serve as the primary Forecasting leader for assigned workstreams by setting priorities, aligning stakeholders, managing delivery, and making tradeoffs based on customer impact, operational risk, financial impact, and team capacity.
  • Translate complex findings into clear recommendations and decision requests for senior leaders.
  • Identify and lead opportunities to improve forecasting methods, planning processes, data quality, systems, and automation, and build scalable solutions that improve accuracy, efficiency, and decision quality.
  • Adapt operating models to the needs of each business line.
  • Partner with Data Science, Business Intelligence, Data Engineering, and Software Engineering to shape forecasting capabilities.
  • Define requirements for models, metrics, dashboards, datasets, and planning tools; resolve data and pipeline issues; and influence the roadmap for automation and machine learning.
  • Coach analysts in forecasting, analytical problem solving, stakeholder management, and executive communication.
  • Set clear expectations, strengthen accountability, standardize best practices, and help team members expand their judgment, scope, and cross-functional influence.

About the Company

DoorDash

Runs apps for local food and grocery delivery

DoorDash runs apps that let people order restaurant meals, groceries, and other goods from local businesses, which independent couriers called Dashers bring to their doors. In 2019 it overtook Grubhub to become the largest food delivery service in the United States, and it later expanded abroad by buying Finland's Wolt and Britain's Deliveroo. Merchants pay DoorDash a fee on each order and can buy ads in its apps, while customers pay delivery and service fees or join DashPass, a subscription that cuts those fees. Businesses can also hire Dashers through its Drive service to carry orders placed on their own websites. Four Stanford students founded DoorDash in 2013, and it is based in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2013

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