(Senior) Data Analyst (f/m/d) für Berlin gesucht

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Job Kategorie: Gesundheits- und Sozialwesen Sozialwesen/Pflege

Stellenangebot Basisdaten

Arbeitsort:: DE 10117 Berlin
Umkreis:: keine Angabe.
Art der Arbeitsstelle:
Letze Aktualisierung:: 05.03.20262026-03-05

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Stellenausschreibung: (Senior) Data Analyst (f/m/d)

Arbeitgeber bzw. Arbeitsvermittler: Clariness GmbH in Hamburg

Branche: Gesundheits- und Sozialwesen

Kategorie: Sozialwesen/Pflege

Stellenbeschreibung: Clariness is looking for a (Senior) Data Analyst (f/m/d) based in Berlin or Hamburg. - Full-time; unlimited - About the role: This role focuses on transforming data into meaningful insights that help teams make confident, informed decisions. You’ll contribute to business impact by building intuitive dashboards, conducting thoughtful analyses, and working closely with stakeholders to ensure data is accurate, relevant, and actionable across the organization. Tasks As a (Senior) Data Analyst (f/m/d), you would be responsible for: Building, maintaining, and continuously improving interactive dashboards and reports for fast, data-driven decision-making. Creating clear and engaging data visualizations that make insights easy to understand and act on. Conducting in-depth analyses based on business requirements and translating findings into practical recommendations. Collaborating with stakeholders to clarify, refine, and challenge data requests to ensure relevance and accuracy. Partnering with cross-functional teams to support strategic initiatives with data-driven insights. Identifying trends, patterns, and anomalies using advanced analytics techniques. Ensuring high data quality by validating sources, documenting assumptions, and proactively resolving inconsistencies. Requirements We would like you to have: 2–3 years of experience as a Data or BI Analyst (or equivalent experience gained through internships, research projects, or part-time roles). Bachelor's degree in a quantitative field (e.g. computer science, mathematics, statistics, engineering, physics, or similar). Experience with data visualization tools such as Tableau, Power BI, Looker, or similar. Strong SQL skills and experience working with relational databases (e.g. MySQL, PostgreSQL, Snowflake, BigQuery). Ability to analyze large datasets and turn data into clear, actionable insights. Understanding of ETL processes and data integration. Familiarity with statistics, A/B testing, or data modelling; experience with Python (pandas, NumPy) or R is a plus. Strong communication skills and business mindset, with the ability to explain insights to non-technical stakeholders. Benefits You may ask now, why should I work for you? Let us give you a few reasons – and you'll learn more during the process. A varied and exciting job with a lot of personal responsibility in an international company, where you can develop and expand your skills. Professional and personal development opportunities - incl. personal development budget. Flexible working hours and mobile working. Regular team events and open feedback culture. A versatile field of activity and challenging projects. A supportive and open company culture, providing the opportunity to collaborate with a diverse and professional team. Impact healthcare by accelerating medical innovation through improved access to clinical trials, potentially bringing needed treatments to patients faster. How to apply & what to expect: Apply via link (CV only; no cover letter required). Introductory call (30 min) → Technical interview → Take Home Test → Demo Day → Decision. We aim to move promptly and keep you updated at every step. At Clariness, we are proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, religion, gender, sexual orientation, national origin, disability or age.

Qualifikation: Arbeitskräfte

Verdienst:: n.a.

Bewerbung an: Clariness GmbH
Am Strandkai 1
De 20457 Hamburg

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