(Senior) Business Data Analyst (m/f/d) at Lufthansa Group
Frankfurt am Main, , Germany -
Full Time


Start Date

Immediate

Expiry Date

01 Nov, 25

Salary

0.0

Posted On

02 Aug, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Big Data, Machine Learning, Data Preparation, Data Engineering, Escalation, Azure, Business Case Development, Leadership Skills, Data Analysis

Industry

Information Technology/IT

Description

At zeroG, you’ll work with a dynamic, inclusive team to build meaningful partnerships and deliver innovative data and AI solutions across airlines, airports, shipping companies, and beyond.

FULL TIME

Tasks

We’re looking for a Senior Business Data Analyst to lead projects from idea to delivery. You’ll work with customers to turn complex questions into smart, actionable solutions. This role is perfect for someone who enjoys connecting business and tech, spotting opportunities in data, and driving impact

  • Lead the design, development, maintenance, and timelines of ongoing metrics, reports, dashboards, and deliverables to support and drive key business decisions.
  • Collaborate with various teams to collect analytical, technical and business requirements. Identify and mitigate risks and issues, tap into connections, and transform vague business ideas or requirements into tangible data solutions with a high attention to detail.
  • Deep dive into large data sets to answer key business questions using a wide range of data analytics tools (e.g., SQL, Python), web analytics (e.g., Google Analytics, Webtrends), cloud services (e.g., Azure, GCP, AWS), and BI solutions (e.g., Tableau, PowerBI, Looker).
  • and more.

The full list of tasks can be viewed on our career page.

Responsibilities
  • Lead the design, development, maintenance, and timelines of ongoing metrics, reports, dashboards, and deliverables to support and drive key business decisions.
  • Collaborate with various teams to collect analytical, technical and business requirements. Identify and mitigate risks and issues, tap into connections, and transform vague business ideas or requirements into tangible data solutions with a high attention to detail.
  • Deep dive into large data sets to answer key business questions using a wide range of data analytics tools (e.g., SQL, Python), web analytics (e.g., Google Analytics, Webtrends), cloud services (e.g., Azure, GCP, AWS), and BI solutions (e.g., Tableau, PowerBI, Looker).
  • and more
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