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Data Analytics Manager - Uber Freight, Chicago, Illinois

Created02/13/2021
Reference64758
CategoryData Science
CountryUnited States
StateIllinois
CityChicago
Zip60601
SalaryCompetitive
About the Role

About the team

Uber Freight solves the most challenging problems related to movement of goods across transportation logistics networks. We work on products that make every part of transporting via truck seamless from end-to-end, such as personalized recommendation and search, acquisition funnel, growth and dynamic pricing, shipper pricing and matching, and much more. A freight network is complex and we make every strategic bet based on data.

Are you interested in working at the intersection of applied quantitative research, engineering development, and data science and analytics? Do you have an interest in leading and growing a top-notch analytics team at Uber to develop and apply quantitative solutions related to Uber Freight's uniquely challenging problems? If so, this is the job for you. Uber Freight supports a two-sided marketplace between shippers (companies with loads to send across geographies) and carriers (drivers who move freight). We are the fastest growing business unit within Uber.This role will specifically lead a group of Product Analysts. The Product Analyst team works on statistical data analysis, experimentation (A/B Testing), data pipelines and dashboarding and collaborate heavily with Product Managers, Engineering and Strategy. We are looking for a hands-on leader who can provide technical mentorship to the team, drive product strategy and OKRs, partner with Eng leadership for instrumentation best practices, and drive actionable insights from data.

What You'll Do

The Manager on the Load Logistics Analytics team will lead a team that focuses on data foundations, actionable insights, data storytelling and partnering with executives to drive Product strategy and roadmap. You will work closely with product, data engineering and business teams to design, build, maintain and communicate (1) the data infrastructure to serve Operations needs, (2) important metrics and their calculations for all of Freight Operations workflow, and (3) scalable dashboards and reports to communicate these metrics and insights to all of Uber Freight, (4) Drive Product Strategy through data insights to help drive Operational Efficiency across Freight. This role has both strategic and technical components and will work on helping build advanced Products for all Freight operations.

The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. They will also have the ability to build consensus by clearly communicating and presenting information to varying partners. Finally, you are passionate people managers, excited to develop a team of analysts. Following would be what you will do day-to-day:

• Lead a team of 4-5 highly skilled analysts to deliver projects in Uber Freight Operations, with high quality and on time

• Partner with senior business leaders and partners to manage project intake, pipeline, prioritize, and manage staffing against key initiatives

• Drive Product strategy, planning and execution through actionable data insights and data driven stories.

• Define, instrument, and maintain new and existing business critical metrics, using SQL queries and beyond

• Serve as a strategic thought partner to the data engineering team; collaborate on building / maintaining ETLs, pipelines and automations to ensure we can understand and act on business performance accurately, scalably, with low latency, and minimal manual upkeep

• Run experiments and develop dashboards and data visualizations to communicate results to leadership. Provide rigorous technical mentorship to the team.

• Achieve even more scale and efficiency for Freight Operations Product Analytics & Insights by identifying redundancies across functions and teams and coming up with innovative solutions

• Ensure data quality by monitoring performance, diagnosing issues, and creating solutions

• Answer complex business questions via ad-hoc SQL queries to enable business and product owners to make critical decisions

Basic Qualifications

• Minimum 7 years experience working in leading business intelligence, analytics, data engineering, or a similar role

• 3+ years of experience directly managing analytical teams

• Ability to code Python or R and complex SQL queries

• Experience building pipelines and ETLs that transform structured and unstructured data sets in large-scale, complex datasets (Hadoop, Hive, Vertica, Presto) into meaningful data models

• Experience building intuitive and impactful dashboards and data visualizations that drive business decisions (using Tableau, etc.)

• Project management skills- Ability to drive projects end-to-end

• Communication and stakeholder management skills - Ability to build consensus by clearly communicating and presenting information

• Teamwork - You care about your team and are passionate about helping them succeed, you love going heads down in SQL, but can also take a step back and understand the big picture

Preferred Qualifications

• MS or MBA degree

• Expertise in Statistical Data Analysis and Hypothesis Testing

• Experience working with Product Management and Engineering

What the Candidate Will Need / Bonus Points

Basic Qualifications

• Minimum 7 years experience working in leading business intelligence, analytics, data engineering, or a similar role

• 3+ years of experience directly managing analytical teams

• Ability to code Python or R and complex SQL queries

• Experience building pipelines and ETLs that transform structured and unstructured data sets in large-scale, complex datasets (Hadoop, Hive, Vertica, Presto) into meaningful data models

• Experience building intuitive and impactful dashboards and data visualizations that drive business decisions (using Tableau, etc.)

• Project management skills- Ability to drive projects end-to-end

• Communication and stakeholder management skills - Ability to build consensus by clearly communicating and presenting information

• Teamwork - You care about your team and are passionate about helping them succeed, you love going heads down in SQL, but can also take a step back and understand the big picture

Preferred Qualifications

• MS or MBA degree

• Expertise in Statistical Data Analysis and Hypothesis Testing

• Experience working with Product Management and Engineering

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
EmployerUber

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