adidas
Senior Manager Digital Analytics(m/w/x)
Full-timeOn-siteSenior
Herzogenaurach
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SISiemens AG
Senior Data Analyst – Data & Insights(m/w/x)
Erlangen, München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Optimizing executive dashboards with Power BI and Snowflake for strategic actions. Several years of data analysis experience required. 30 leave days, flexible working models.
Requirements
- Master's degree in Data Science, Computer Science, Business Administration, or comparable discipline
- Several years of professional experience in data analysis and insights generation
- Strong proficiency in PowerBI and Snowflake
- Familiarity with MAP and SFA systems, as well as CDP/MDM solutions
- Strong data evaluation skills, ability to extract and interpret data, transform into insights and recommendations
- Experience applying AI/ML technologies in data processes and analytics
- Experience running experiments and MVPs on AI/ML based data processing
- Strong affinity to IT and data
- Experienced using agile project management methods (Scrum) in professional tool environment (Jira, Confluence); ability to translate business requirements into technology & data needs and visualization; strong presentation skills communicating insights to Senior Management; proven ability to coordinate and align stakeholder requirements across business units
- Business fluent in English, additional languages welcome
Tasks
- Create and visualize insights to drive strategic actions
- Optimize sophisticated dashboards for executive reporting
- Analyze account, contact, and campaign data
- Link data to sales performance and business impact
- Define program requirements for data visualization
- Support KPI development and data-driven initiatives
- Monitor and report on database quality metrics
- Present insights to Senior Management and stakeholders
- Document data schemas for clarity and reference
- Coordinate and align data requests with stakeholders
- Lead the central data program for the team
- Combine and harmonize multiple data sources
- Drive the evolution of the MarCom Data Domain
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PowerBI
- Snowflake
- MAP
- SFA
- CDP/MDM
- AI/ML
- Jira
- Confluence
Benefits
More Vacation Days
- 30 leave days
Flexible Working
- Flexible working models
Competitive Pay
- Share matching programs
Learning & Development
- Continuous learning
- Specialized training
Startup Environment
- Innovative environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SISiemens AG
Senior Data Analyst – Data & Insights(m/w/x)
Erlangen, München
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Optimizing executive dashboards with Power BI and Snowflake for strategic actions. Several years of data analysis experience required. 30 leave days, flexible working models.
Requirements
- Master's degree in Data Science, Computer Science, Business Administration, or comparable discipline
- Several years of professional experience in data analysis and insights generation
- Strong proficiency in PowerBI and Snowflake
- Familiarity with MAP and SFA systems, as well as CDP/MDM solutions
- Strong data evaluation skills, ability to extract and interpret data, transform into insights and recommendations
- Experience applying AI/ML technologies in data processes and analytics
- Experience running experiments and MVPs on AI/ML based data processing
- Strong affinity to IT and data
- Experienced using agile project management methods (Scrum) in professional tool environment (Jira, Confluence); ability to translate business requirements into technology & data needs and visualization; strong presentation skills communicating insights to Senior Management; proven ability to coordinate and align stakeholder requirements across business units
- Business fluent in English, additional languages welcome
Tasks
- Create and visualize insights to drive strategic actions
- Optimize sophisticated dashboards for executive reporting
- Analyze account, contact, and campaign data
- Link data to sales performance and business impact
- Define program requirements for data visualization
- Support KPI development and data-driven initiatives
- Monitor and report on database quality metrics
- Present insights to Senior Management and stakeholders
- Document data schemas for clarity and reference
- Coordinate and align data requests with stakeholders
- Lead the central data program for the team
- Combine and harmonize multiple data sources
- Drive the evolution of the MarCom Data Domain
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- PowerBI
- Snowflake
- MAP
- SFA
- CDP/MDM
- AI/ML
- Jira
- Confluence
Benefits
More Vacation Days
- 30 leave days
Flexible Working
- Flexible working models
Competitive Pay
- Share matching programs
Learning & Development
- Continuous learning
- Specialized training
Startup Environment
- Innovative environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Siemens AG and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Siemens AG
Industry
Engineering
Description
Das Unternehmen entwickelt Netzwerke, die Städte mit Licht und Wärme versorgen und ist in der Automatisierung und Digitalisierung der Prozess- und Fertigungsindustrie tätig.
Not a perfect match?
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