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求人Uber

Data Analyst

Uber

Data Analyst

Uber

Krakow, Poland

·

On-site

·

Full-time

·

1w ago

Data Analyst

Uber is looking for Data Analysts to expand its new Team in Krakow.

The Krakow Center of Excellence is taking a new highway to become a major Technology Hub in Central & Eastern Europe, focusing on Process Optimization, Data Analytics & Automation.

About the role

After creating queries and dashboards, you will proceed to significant data analyses in order to provide insightful recommendations to Stakeholders, and valuable inputs for strategic decisions.

As Data Analyst, you will work together with other Team Members: Process Optimization Specialists and Automation Specialists.

This is a great opportunity if you want to further develop your analytical skills, build sophisticated dashboards, use tools such as Data Studio, Google Sheets or Tableau and create actionable insights for large-scale operations, with concrete impacts.

About the Team

The team's mission: backing creativity with operational efficiency.

Based in the Krakow CoE, the team is cross-functional and supports operations at regional and global level.

We focus on four core areas:

  • Business Processes (design, execution, optimization)
  • Automation (process automation, real-time monitoring, refactoring)
  • Data Analytics (query, deepdive, self-operating dashboard, data pipeline)
  • Data Science (modeling, machine learning, patterns identification, prediction)

The span of work is large, covering multiple verticals (such as Uber Rides, Eats, High Capacity Vehicle, Payment, Strategy & Planning) and Mega-Regions (such as Global, EMEA, US&C).

We're offering a hybrid model of working (60% minimum based out of our Krakow office, 40% optional work from home).

What you will do

  • Analyze data, identify trends and build meaningful recommendations
  • Present your results in a concise manner to international Stakeholders
  • Design, lead & execute projects independently or in coordination with peers
  • Conduct root cause analyses, build dashboards, prepare data-driven proposals

What you will need

  • Good knowledge in SQL, Google Sheets
  • Analytical and data-driven approach for solving problems
  • Ability to work independently, on your own initiative
  • Motivation to learn all along the way and improve continuously
  • Excellent written and spoken Communication (in English)

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Uberについて

Uber

Uber

Public

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

従業員数

San Francisco

本社所在地

$120B

企業価値

レビュー

3.7

10件のレビュー

ワークライフバランス

3.2

報酬

4.0

企業文化

4.1

キャリア

3.4

経営陣

2.8

68%

友人に勧める

良い点

Good compensation and pay

Flexible hours and schedule

Great team culture and colleagues

改善点

Long hours and tight deadlines

High pressure and stressful environment

Poor management and lack of support

給与レンジ

15,354件のデータ

Mid/L4

Mid/L4 · Data Analyst

3件のレポート

$209,300

年収総額

基本給

$161,000

ストック

-

ボーナス

-

$203,580

$209,300

面接体験

5件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

40%

体験

ポジティブ 80%

普通 20%

ネガティブ 0%

面接プロセス

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge