Senior Manager Data Analytics (all genders)

Eraneos; Hamburg; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Company bike

EGYM Wellpass subsidy

Fresh fruit, premium coffee, snacks

Zusammenfassung

Eraneos is seeking a Senior Manager in Data Analytics to lead the development of modern analytics platforms and scalable data architectures. You will work with clients to translate business requirements into data-driven solutions and guide interdisciplinary teams across analytics engineering, data engineering and data science.

You’ll bridge business needs with technology, drive DataOps best practices, and contribute to client workshops and proposals, while growing strategic relationships and

Qualifikationen

• Several years of experience advising on or leading complex data, analytics, or cloud transformations.
• Extensive experience in analytics engineering, data engineering, or modern data platforms.
• Excellent knowledge of data modeling, SQL, and modern cloud data platforms (Snowflake, Databricks, Fabric, BigQuery, Redshift).
• Familiar with dbt, DataOps, data quality, governance, and ELT/ETL architectures.
• Ability to translate business requirements into sustainable data architectures and analytics solutions.
• Strong communication with stakeholders, including management and C-level.
• German and English proficiency.

Aufgaben

• Develop modern analytics and data platforms for reporting, self-service analytics, and AI.
• Design scalable data architectures and analytical data models with governance.
• Modernize data warehouses and data lakehouses; build cloud-based data platforms.
• Establish best practices for analytics engineering, data quality, automation, and DataOps.
• Bridge business requirements to scalable data models and analytics solutions.
• Lead interdisciplinary teams of analytics engineers, data engineers, data scientists, and consultants.
• Grow client relationships and contribute to proposals and business development.

Kenntnisse

Analytics engineering

Data engineering

Data modeling

SQL

Ausbildung

Degree in Computer Science/Business Informatics/Data Science/Mathematics/Natural Sciences

Tools

Snowflake

Databricks

Microsoft Fabric

BigQuery

Redshift

dbt

Jobbeschreibung

What you will find with us

We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our offices in Hamburg, Munich and Düsseldorf and our hub locations in all other major German cities (Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany.

Your role as a Senior Manager in Data Analytics:

You’ll develop modern analytics platforms

• You’ll work with our clients to develop modern analytics and data platforms that serve as the foundation for reporting, self-service analytics, and AI.
• You’ll design scalable data architectures and analytical data models, and ensure sustainable data governance.
• You’ll support clients in modernizing their data warehouses and data lakehouses, as well as in building cloud-based data platforms.
• You’ll establish best practices for analytics engineering, data quality, automation, and DataOps.

You’ll bridge the gap between business and data

• You’ll analyze business requirements and translate them into scalable data models and analytics solutions.
• You bridge the gap between management, business units, and engineering teams, fostering a shared understanding of data-driven solutions.
• You collaborate with our clients to develop data strategies and identify opportunities for analytics and artificial intelligence.

You lead challenging transformation projects

• You are responsible for the successful implementation of complex data and analytics projects - from a technical, organizational, and business perspective.
• You lead interdisciplinary teams of analytics engineers, data engineers, data scientists, and consultants.
• You’ll guide clients from strategy through design to the successful implementation of modern data solutions.

You’ll help clients, the business, and people grow

• You’ll build long-term client relationships and strategically develop existing accounts.
• You’ll identify new business opportunities and provide support for proposals, client workshops, and pitches.
• You’ll coach our consultants and engineers and foster their professional and personal development.
• You’ll bring new market insights to our portfolio and actively shape the future of our Analytics Practice.

Who you are

• You have several years of experience advising on or leading complex data, analytics, or cloud transformations.
• You have extensive experience in analytics engineering, data engineering, or modern data platforms.
• You have excellent knowledge of data modeling, SQL, and modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or Redshift.
• You are familiar with current technologies and methods related to dbt, DataOps, data quality, data governance, and modern ELT/ETL architectures.
• You know how to translate business requirements into sustainable data architectures and analytics solutions.
• You lead interdisciplinary teams with enthusiasm and communicate confidently with stakeholders, including those at the management and C-level.
• You think entrepreneurially, identify opportunities with clients, and actively help shape proposals and business development.
• You have excellent German and English communication skills.
• You hold a degree in Computer Science, Business Informatics, Data Science, Mathematics, Natural Sciences, or a comparable field.

Who we are

• Be part of an exciting and fast-paced AI-focused company
• Enjoy flexible working hours and locations, including remote options
• Work in a supportive, flat-hierarchy environment with experienced international colleagues
• Participate in memorable company-wide events, both local and international
• Benefit from perks like a company bike, subsidized fitness memberships (EGYM Wellpass), and more
• Targeted and individual training for your professional and personal development
• A central location in Hamburg, Munich and Düsseldorf with good transport links (bus & train), as well as hub locations in all other major German cities
• Enjoy daily fresh fruit, premium coffee, snacks, soft drinks & after-work beer

Contact

[e-mail]

Our top priority is that you fit us and we fit you, regardless of origin, nationality, sexual orientation, religion, gender identity, age, handicap or other aspects of diversity.