Senior Manager, Data Analytics

Eraneos Germany

Senior Manager in Data Analytics leading complex data transformations for DAX and Fortune 500 clients. Developing modern analytics platforms and guiding interdisciplinary teams towards successful implementation.

Posted 7/24/2026full-timeRemote • 🇩🇪 GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics engineering, data modeling, and modern cloud data platforms, with a strong ability to translate business requirements into scalable data architectures. Proven leadership in managing interdisciplinary teams and fostering client relationships to drive business development.

Highest-signal resume keywords

Analytics EngineeringData ModelingSQLSnowflakeDataOps

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringModern Data PlatformsCloud TransformationsData QualityELT/ETL Architectures

Soft Skills

Confident CommunicationEntrepreneurial MindsetCoaching

Tools & Technologies

DatabricksMicrosoft FabricBigQueryRedshiftDbt

Industry Keywords

Data GovernanceData ArchitectureAnalytics SolutionsBusiness DevelopmentInterdisciplinary Teams

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryCloudETLSQL

About the role

Key responsibilities & impact

Develop modern analytics platforms by working with clients
Design scalable data architectures and ensure sustainable data governance
Support clients in modernizing data warehouses and data lakehouses
Establish best practices for analytics engineering, data quality, automation, and DataOps
Analyze business requirements and translate them into scalable data models and analytics solutions
Bridge the gap between management, business units, and engineering teams
Lead interdisciplinary teams in successful implementation of complex data and analytics projects
Build long-term client relationships and identify new business opportunities
Coach consultants and engineers, fostering their professional development
Bring new market insights to the portfolio and actively shaping the Analytics Practice

Requirements

What you’ll need

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 such as Snowflake, Databricks, Microsoft Fabric, BigQuery, or Redshift
Familiar with current technologies and methods related to dbt, DataOps, data quality, data governance, and modern ELT/ETL architectures
Ability to translate business requirements into sustainable data architectures and analytics solutions
Enthusiasm in leading interdisciplinary teams and confident communication with stakeholders, including management and C-level
Entrepreneurial mindset, identifying opportunities with clients, and shaping proposals and business development
Excellent German and English communication skills
Degree in Computer Science, Business Informatics, Data Science, Mathematics, Natural Sciences, or a comparable field

Benefits

Comp & perks

Flexible working hours and locations, including remote options
Supportive, flat-hierarchy environment with experienced international colleagues
Memorable company-wide events, both local and international
Company bike
Subsidized fitness memberships (EGYM Wellpass)
Targeted and individual training for your professional and personal development
Daily fresh fruit, premium coffee, snacks, soft drinks & after-work beer