Uber - Program Manager I

3 weeks ago

Hyderabad, India Uber Full time

About The Role :

As a member of the GSS DAS team, you will have the opportunity to drive the analysis behind various Mobility Product and Ops related decisions at Uber.

You will perform a range of activities demonstrating your analytical thought leadership and will be involved in leading multiple data-driven projects including , but not limited to :

- Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally/regionally.

- Performing analytical deep dives to drive product/strategy road-map.

- Design of efficiency analytical data marts that mimic product flow at scale.

What the Candidate Will Do :

- You will work on a range of analytics projects to help partner teams in boosting efficiency and fostering growth throughout the business.

- Your role will entail delivering valuable qualitative insights and collaborating with engineering, data science, and product teams to develop analytics solutions.

About :

The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics.

Following would be what you will do day-to-day :

- Utilize expertise in data analysis, and visualization to develop end-to-end analytical solutions.

- Translate analytical solution into actionable insights and recommendations for technical and non-technical audience in a clear, concise and persuasive way.

- Maintain and continue to raise the bar for quality/efficiency of analytical solution delivery.

- Focus on long term improvements by building, maintaining, and documenting best practices within the team and seek continuous improvement opportunities.

- Lead vendor data analysts in project execution.

- Do all that it takes to drive and deliver multiple analytical and data engineering projects to partner teams across Uber.

- Get pumped up by deciphering huge data sets and cutting through irrelevant distractions to the heart of the core data questions from partner teams.

- Attention to detail, accuracy is a must

- Humble and scrappy not afraid to take on lower level projects when it will clear roadblocks for the team.

Basic Qualifications :

- Minimum 4 years experience working in business intelligence, analytics, data engineering, or a similar role.

- Experience using SQL in a production environment.

- Experience using Python or R to work with large data sets at scale.

- Experience with dashboarding and using data visualization tools.

- Fluency in communicating data insights (Methods, Results & Actions) with the peer group.

- Should be a team player and being able to multitask.

- Ability to work with remote teams and across time zones.

- Being able to raise the bar for quality/efficiency within the team.

Preferred Qualifications :

- BS / MS degree equivalent experience in Statistics, Economics, Engineering, or other quantitative fields.

- Experience in experimental design and analysis, exploratory data analysis, data modelling and statistical analysis.

- Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.

- Experience working with Product and Engineering teams.


(ref:hirist.tech)

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