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Sr Data Analyst, Tech

Finance Technology, Finance & Accounting in Hyderabad, India

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 600 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.

About the Role

 

We are looking for an experienced Senior Data Analyst to join our FinTech - Data Analytics team team and make significant contributions to our mission to streamline and optimize Uber’s Revenue infrastructure.  In this position, you will get an amazing opportunity to play a critical role in implementing/building a wide array of financial systems. You will work closely with senior leaders in Product, Data Science, Engineering, and Operations on fast moving, high-stakes problems. A deep analytical passion and the ability to execute on key business priorities is a must for this role. Your performance is measured by the insights you give, effectiveness of communication, and the initiative to drive ideas and implement them into action.

 

Senior Data Analyst - FinTech

 

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 600 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.

What You’ll Do

 

 

You will shape the direction of Uber’s Revenue platform by analyzing vast quantities of data to gather insights, identify opportunities and ultimately prioritize product and engineering initiatives. You will:

 

  • Work with accounting, engineering, product, data science and other business stakeholders in mining and analyzing financial and entity-level data to extract key trends and insights.
  • Build effective visualizations to communicate data to key decision-makers.
  • Build models to detect anomalies and resolve financial imbalances; investigate and resolve data discrepancies between systems.
  • Understand critical interdependencies across functions and divisions, and grasps the short and long-term trade-offs of business decisions.
  • Explore Fintech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies.
  • Build end to end data pipelines and self serving dashboards. Automate whatever you can!
  • Plan and lead complex projects, prioritize tasks and map stakeholders appropriately
  • Be a trusted advisor to Product Management and business leadership.
  • Conduct feasibility studies to analyze the impact of proposed product changes.
  • Communicate your findings to cross-functional peers and management.
  • Get a deep understanding about the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data analytics practice.
  • Work with accounting, engineering, product, data science and other business stakeholders in mining and analyzing financial and entity-level data to extract key trends and insights.
  • Build effective visualizations to communicate data to key decision-makers.
  • Build models to detect anomalies and resolve financial imbalances; investigate and resolve data discrepancies between systems.
  • Understand critical interdependencies across functions and divisions, and grasps the short and long-term trade-offs of business decisions.
  • Explore Fintech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies.
  • Build end to end data pipelines and self serving dashboards. Automate whatever you can!
  • Plan and lead complex projects, prioritize tasks and map stakeholders appropriately
  • Be a trusted advisor to Product Management and business leadership.
  • Conduct feasibility studies to analyze the impact of proposed product changes.
  • Communicate your findings to cross-functional peers and management.
  • Get a deep understanding about the FinTech systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data analytics practice.

 

What You’ll Need

 

  • Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field
  • 5+ years experience as a Product Analyst, Sr. Data Analyst, or other type of data analysis-focused functions
  • Prior experience within the finance industry is strongly desirable
  • Excellent SQL skills and experience with either Python or R
  • Proven ability to wrangle large dataset, explore and utilize raw data feeds
  • Demonstrated aptitude toward Data Storytelling and Root Cause Analysis using data
  • Excellent understanding of statistical principles backed by an academic foundation
  • Ability to learn and adapt to new methodologies for data collection and analysis
  • Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail
  • Ability to work in a self-guided manner
  • Ability to mentor, coach and develop junior team members
  • Superb communication and organization skills

About the Team

 

Fintech at Uber builds and implements all finance systems, with teams specializing in process, product, implementation, project management and analytics. The Data Analytics team is a part of Fintech and Finance Data Science team, focused on providing analytical support for developing world class financial systems to improve efficiency of financial processes by improving speed, accuracy and flexibility. We work closely with multiple stakeholders and product managers from the Uber Revenue platform ecosystem, Accounting, Finance and other Fintech teams.


See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.