Business Intelligence - Melbourne, Australia - DiDi Global

Description

Company Overview:
We are committed to building inclusive, integrity and diverse teams

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that's how we create better products and services, make better decisions and better serve the communities we're a part of.

Didi Chuxing ("DiDi") is the world's leading mobile transportation and convenience platform.

The company offers a full range of app-based transportation and life services for over 550 million users across Asia, Latin America, Australia, and Russia, including Taxi, Express, Premier, Luxe, Bus, Designated Driving, Enterprise Solutions, Bike Sharing, E-bike Sharing, Automobile Solutions, Food Delivery, and Payment.

Tens of millions of drivers who find flexible work opportunities on the DiDi platform provide over 10 billion passenger trips a year.

DiDi is committed to collaborating with policymakers, the taxi industry, the automobile industry, and communities to solve the world's transportation, and environmental, and employment challenges with localized smart transportation innovations by leveraging its AI capabilities.

By continuously improving user experience and creating social value, DiDi strives to build a safe, inclusive, and sustainable mobile transportation and convenience ecosystem for cities of the future.

DiDi uses technology to improve mobility in our world.

As such, we always look for people from every background who want to support our vision, through equal opportunity and nondiscriminatory, fair and impartial treatment, completely free of prejudice related to race, nationality, religion, gender, ethnicity, age, political affiliation, sexual preference, marital status, disabilities or family responsibilities.

Team Overview:
We are seeking a BI to play a crucial role in our business for future growth.

In this role, you will report directly to the ANZ Operations Director, leveraging your expertise to transform our data analysis in the Australia & New Zealand Region into business insights.

You will also be dedicated to making direct business impact with internal stakeholders like operations, product, tech, with daily data monitoring, and special project analysis.

Role Responsibilities:

Responsibilities:

• Perform data analysis tasks, which will include operation and marketing campaign performance design and review, and will cover mechanical, programming, database disciplines.
• Writing and maintaining Hive and Python script to collect driver information automatically and validate this information through government's public API.
• Writing and maintaining Hive and Python script to collect driver information from different sources and format it into one consistent format, forward the info to the related party with detailed history records, which finally form a coherent reporting system.
• Reviewing, writing and revising program code to meet operation and business requirement, diagnosing and correcting errors in existing database and product logic.
• Manage and analyze large volumes of complex data through advanced digital analytics information systems that require SQL, Python etc.
• Understand the BAU projects that ANZ BI team managing, which include various reporting system based on Tableau, Excel, DataE, Insight.
• Use SQL, Excel, and other tools to help prepare supporting data as backup of other team's output when there is a need.
• Use SQL, Apollo, Tagsystem to provide insight from data perspective for cross functional teams on initiating the business action plan for city launch, which assist whole ANZ business.
• Use Excel, Python, DataE, Tableau to address adhoc analysis of business issues to better support Operating team in guiding the driver and rider on boarding process.
• Make judgments in all of the department he attends. The line manager will review and approve all judgments

Requirement:

• Bachelor's degree in a relevant field such as Business Analytics, Data Science, or Computer Science. Master's degree is preferred. Minimum of 2 years of relevant work experience in data analysis.
• Proficiency in using common analysis and modeling tools such as strong proficiency in data analysis and visualization tools such as Excel, SQL, R/Python, and familiarity with experimental design and evaluation methods.
• Experience in statistical analysis, predictive modeling, and machine learning techniques is highly desirable.
• Ability to work independently and thrive in a fastpaced, dynamic environment with multiple priorities.

EEO Statement:

• We create customer value
• We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient.

• We are datadriven

• We are strong believers in making informed decisions, that's why we are datadriven. We can better navigate the business landscape strategically by analyzing valuable metrics.