Job Location: Hyderabad
## About the team:We are looking for an experienced Data Analyst to join our FinTech – Data Analytics team and make significant contributions to our mission to streamline and optimize Ubers financial infrastructure and processes.
In this position, you will get an amazing opportunity to use advanced analytics to play a critical role in implementing/building a wide array of financial systems, generating concrete insights from data, and improving financial reporting processes.
You will work closely with senior leaders in Product, Data Science, Engineering, Compliance, and Operations on fast-moving, high-stakes problems.
A deep analytical passion and the ability to execute on key business priorities are a must for this role.
Your performance is measured by the insights you give, the effectiveness of communication, and the initiative to drive ideas and implement them into action.
## What You Will Need : M.S.
or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
(If M.S. degree, a minimum of 1 years of industry experience required and if Bachelors degree, a minimum of 2 years of industry experience as a Product Analyst or equivalent)
Advanced SQL expertise Ability and experience in extracting insights from data, and summarizing learnings/takeaways Experience with Excel and some dashboarding/data visualization (i.e.
Tableau, Mixpanel, Looker, or similar) Basic understanding of experimental design (such as A/B experiments) and statistical methods#
# Preferred Qualifications: Experience with either Python or R Experience working on analytics in accounting, finance areas Demonstrated aptitude toward data storytelling and root cause Analysis using data Ability to build models to detect anomalies and resolve financial imbalances Ability to understand critical interdependencies across functions and divisions, as well as the short and long-term trade-offs of business decisions.#
# What you will do:You will shape the direction of Ubers financial platforms by doing the following: Work with accounting, engineering, product, data science, compliance, and other business stakeholders in the 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 grasp 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! Document and train internal personnel to institutionalize the learnings of the data analytics practice.At Uber, we ignite opportunity by setting the world in motion.
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