Analyst data Jobs in München
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Analyst data • munchen
Data Architect / Business Data Analyst
NetAppMunchen, DE- Gesponsert
HR Data Analyst (m / w / d)
Sport Group GmbHUnterföhring(Senior) Consultant Data Analyst Web Analytics (all genders)
diconiumMunich, Bavaria, Germany- Gesponsert
HR Data Analyst (m / w / d)
Unsere Grüne Glasfaser GmbH & Co. KGIsmaning, DEData Analyst Acquisition & Virality (mfd)
UsercentricsMünchen, Bavaria, GermanyData Analyst m / f / d
ATOSS Software AGMünchenMarket Data Analyst - Biofuels / Vegoils
KplerGermany (Remote)Data Analyst (All Genders)
zooplus SEMunich, Bavaria, GermanySenior Data Analyst (all genders)
WemoloMünchen, Bavaria, GermanyBI Data Analyst Support (mfd)
Elvis Eckardt Recruitment & Sales Solutions LimitedMunich, Bavaria, GermanyData Analyst - Internship
HoloHireMünchen, BY, deEnergy Data Analyst Lead (mfd)
EntrixMünchen, Bavaria, Germany- Gesponsert
Werkstudent im Bereich Data Analyst (m / w / d)
Allianz Beratungs- und Vertriebs-AGUnterföhring (bei München), DEData / AI Business Analyst
SphereMunich, Bavaria, GermanyCentral BI Data Analyst (mwd)
Alphapet Ventures GmbHMunich, Bavaria, GermanyCentral BI Data Analyst (mwd)
AlphaPet VenturesMünchen, Bavaria, Germany- Gesponsert
Data Analyst (m / w / d) bei Mobility Data Space
DRM Datenraum Mobilität GmbHMünchen, DE- Gesponsert
- Neu!
Data Analyst (m / f / d) - European Underwriting
AND-EIsmaning, GermanyData Process Analyst (m / w / d)
Conrad Electronic GroupHirschau, München, DEData Architect / Business Data Analyst
NetAppMunchen, DETitle : Data Architect / Business Data Analyst
Location :
Bangalore, Karnataka, IN
Requisition ID : 132350
Job Summary
We are seeking a Product / Data Architect to join our Enterprise Data & Analytics team, focusing on Customer Success (CSOps) and Professional Services Operations (PSOps) . In this role, you will partner with both IT and business stakeholders to transform raw data into actionable insights that drive strategic decisions and enhance customer outcomes.
You will design robust data models, architect scalable dataflows, and explore innovative technologies — including advanced analytics, data science, and machine learning — to maximize the value of our data assets. Your work will shape how our teams leverage data to improve operational efficiency, customer engagement, and business performance.
The ideal candidate combines deep business acumen with technical expertise, thrives on solving complex problems, and has a passion for delivering solutions that empower stakeholders and fuel customer success
Key Attributes
- Strong understanding of CS (Customer Success) and PS (Professional Services) processes and data needs for a global organization.
- Expertise in data modeling, data architecture, and analytics platforms
- Ability to bridge business requirements with technical solutions
- Curiosity for emerging tools and technologies
- Commitment to driving measurable impact for customers and the business
Job Requirements
Domain Expertise
Strong subject matter expertise in at least two of the following domains : Customer Success, Professional Services, Install Base, Case Management, Revenue Reporting, or Customer Support.
Proven track record of delivering multiple complex technical projects from concept to production.
Technical Skills
Data Modeling : Expertise in designing conceptual, logical, and physical data models to support enterprise analytics and operational reporting. Ability to define data structures, relationships, and metadata standards; optimize models for performance, scalability, and maintainability; and ensure alignment with business processes in CSOps and PSOps.
Hands-on experience with SQL , RESTful APIs , and related standards; proficiency in Python and NoSQL is a plus.
Skilled in building, optimizing, and evaluating data pipelines and delivering production-ready systems .
Familiar with data platforms such as Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS.
Experience with data visualization tools like Tableau and Power BI.
Strong data orientation with a passion for exploring innovative analytical techniques .
Methodologies, Compliance & Lifecycle Management
Knowledge of both Waterfall and Agile / Scrum methodologies.
Experience across all phases of the Software Development Life Cycle (SDLC) .
Understanding of SOX compliance requirements and principles, particularly in relation to financial data, revenue reporting, and operational controls.
Skilled in collaborating with IT delivery teams on complex, cross-functional projects .
Leadership & Collaboration
Ability to work collaboratively while taking a lead role when needed.
Capable of handling multiple priorities independently with minimal supervision.
Proven ability to influence stakeholders and drive results as a proactive contributor .
Soft Skills
Strong written and verbal communication skills.
Excellent problem-solving and troubleshooting abilities.
Education
Job Segment : Data Architect, Machinist, Data Analyst, Data Modeler, ERP, Data, Manufacturing, Technology