About the company 99Food is a food delivery platform that makes getting great food from people's favorite local place as easy as requesting a ride inside the 99 app. 99Food connects people with a broad range of local spots, so people can order from the full menus of their favorites whenever they want. 99Food is part of the global company DiDi Chuxing (DiDi), is available to users of app 99 (for Android and iOS). Learn more at https://Food.99app.com About the role The Strategy and Planning Data Sr Analyst will be responsible for supporting the 99 Food team and leadership in data structuring, extracting, and Maintainance, allowing them to make the best business decisions.This professional will be responsible for providing data for the local teams, bringing good practices, and guarantee that the team is consuming consistent data, also will be the focal point between the 99Food team and Business Intelligence team located in China(HQ). Your responsibilities
Data Mining, proceed with constant data extraction and report building, identifying opportunities for better decision making;
Create Data automated reports, deep-dive papers analysis to support all strategic decisions on multiple business areas;
Act as the focal point on the relationship between Data/Strategy and all HQ and Food teams;Develop analytical frameworks to empower different subject teams;Identify, consolidate company-level insights;
Develop comprehensive analytical solutions to support our key business partners;
Be responsible for data preparation and extraction and be able to develop dashboards (templates and ad hoc);
Deal with large amounts of data to find patterns and generate insights that will improve business results.
The successful applicant
Fluent English is mandatory and Spanish is a plus.
Outstanding trackback: on consulting / business intelligence / strategy and planning on fast-paced business or startup experience;
Team Player: partner-up, support and guide naturally;
Result-oriented speech to transform data and technical terms into clearinformation and guidance to multidisciplinary HQ teams;
Adaptive: easily and quickly navigates through multiple levels of details and different subjects;
Have a crush on data: Data-driven Insights, Forecasts, Trend Analysis, A|B Testing, Storytelling;
Tech Savvy: SQL, Hive, Python, R, data prep and visualization tools (Tableau, Alteryx, D3,Power BI, Qlikview), familiar with relational, transactional and partition based data models.