(Senior) Data Analyst (f/m/d) at Clariness

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Visualization, SQL, Relational Databases, ETL Processes, Statistics, A/B Testing, Python, R, Communication Skills, Business Mindset, Dashboard Development, Data Quality, Advanced Analytics, Collaboration, Trend Identification

Industry

Pharmaceutical Manufacturing

Description

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. 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. 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. 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. For more information, feel free to reach out to recruiting@clariness.com. Have we sparked your interest? Would you like to become part of our dynamic, curious, and international culture with plenty of room for your ideas and creativity in an inspiring atmosphere? If so, we look forward to receiving your application with details of your desired salary and possible starting date, preferably via our application portal. Clariness GmbH will treat the above information strictly confidential and will especially observe the applicable provisions of the applicable data protection laws. Further information about the use of the applicant data, you will find in the data protection declaration online at https://www.clariness.com/privacy-policy/

Responsibilities

The (Senior) Data Analyst will build and maintain interactive dashboards and reports to facilitate data-driven decision-making. They will conduct analyses based on business requirements and collaborate with stakeholders to ensure data accuracy and relevance.