Senior Data Analyst

Jobgether • Germany
Remote
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AI Summary

Deliver and optimize global digital solutions within Health, Safety & Environment and Risk Management domains. Transform complex datasets into actionable insights. Contribute to scalable digital products and process automation.

Key Highlights
Manage global digital products and solutions
Analyze complex datasets and deliver insights
Collaborate with cross-functional teams
Key Responsibilities
Manage and support the implementation of global digital products and solutions
Analyze complex datasets and deliver high-quality insights
Collaborate with distributed, cross-functional teams
Technical Skills Required
SQL Databricks MongoDB Power BI Tableau Excel Power Query Jira
Benefits & Perks
Competitive compensation package
Fully remote position within Europe
Long-term international project exposure

Job Description


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst, Senior based in Germany.

As a Senior Data Analyst, you will play a central role in delivering and optimizing global digital solutions within the Health, Safety & Environment and Risk Management domains. Operating in a highly collaborative and international environment, you will transform complex datasets into actionable insights that support strategic decision-making for global clients. You will contribute to the implementation of scalable digital products, drive process automation, and ensure data-driven excellence across multiple projects. This role combines technical expertise, consulting exposure, and strong stakeholder interaction, offering the opportunity to work on impactful initiatives with real-world business value. You will engage closely with cross-functional teams and clients, ensuring successful solution delivery, adoption, and continuous improvement in a fast-paced, innovation-driven environment.

Accountabilities

  • Manage and support the implementation of global digital products and solutions, ensuring successful deployment, adoption, and ongoing optimization.
  • Analyze complex datasets and deliver high-quality insights through data storytelling, reporting, and visualization tools.
  • Identify opportunities for automation, process standardization, and efficiency improvements using AI and advanced analytics.
  • Collaborate with distributed, cross-functional teams to ensure effective project delivery and alignment with client requirements.
  • Develop and maintain documentation, reports, dashboards, and executive presentations using tools such as PowerPoint and BI platforms.
  • Configure and support product deployments, including delivering training sessions to internal teams and clients.
  • Work directly with customers to ensure best practices in product usage, implementation, and data interpretation.
  • Leverage AI tools and advanced technologies to enhance multilingual configuration, analysis, and delivery support.
  • Conduct unit testing and quality assurance activities to ensure the reliability and performance of delivered solutions.
  • Contribute to agile squads, participate in ceremonies, and support continuous improvement initiatives across projects.

Requirements

  • Minimum 6 years of professional experience in data-focused roles, ideally within consulting or technology environments.
  • At least 3 years of experience working in consulting organizations or client-facing project delivery roles.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Strong proficiency in SQL and experience with database technologies such as Databricks and MongoDB.
  • Advanced experience with Business Intelligence tools such as Power BI, Tableau, or equivalent visualization platforms.
  • Strong command of Excel, PowerPoint, Power Query, and Jira for analysis, reporting, and project management.
  • Understanding of ETL processes and basic familiarity with machine learning concepts.
  • Ability to write and use AI prompts to support and optimize analytical and operational tasks.
  • Experience in unit testing, QA processes, and data validation activities.
  • Strong analytical thinking with excellent attention to detail and data storytelling capabilities.
  • Excellent communication skills with the ability to translate technical insights into business value.
  • Strong teamwork, adaptability, and problem-solving mindset in fast-paced environments.
  • Fluent professional English is required; additional European language skills are a plus.
  • Degree in a relevant technical or analytical field is required.

Benefits

  • Competitive compensation package (details adapted to location and experience).
  • Fully remote position within Europe with flexible working arrangements.
  • Long-term international project exposure with global clients and teams.
  • Opportunity to work on impactful digital transformation initiatives in sustainability and risk management.
  • Strong focus on career development, learning, and continuous upskilling.
  • Exposure to advanced technologies including AI, data platforms, and automation tools.
  • Collaborative and multicultural work environment with distributed teams.
  • Participation in agile squads and innovative delivery frameworks.
  • Access to complex, large-scale projects with real-world business impact.
  • Opportunities to grow within consulting, data, or leadership career paths.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


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