Business & Data Analyst

Darmstadt
9 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst

Business & Data Analyst

Senior Business Data Analyst

CK Group are recruiting for a Business & Data Analyst, to join a pharmaceutical company, on a contract basis, until the end of October 2025.

Salary:

€110 per hour.

Business & Data Analyst Role:

The Business & Data Analyst for the HR reporting & analytics solution will play a pivotal role in analysing requirements and collaborating with the technical team to identify and recommend fit-for-purpose technical solutions.
Be the functional expert around reporting of HR metrics and guide the team and consult stakeholders around best practice solutions.
Collaborate with the technical team to evaluate and recommend appropriate technical solutions that meet stakeholder needs and enhance the functionality of the HR Reporting tool.
Develop and manage comprehensive project plans, ensuring timely delivery of milestones and adherence to project objectives.
Collaborate with project teams and technical experts to implement necessary improvements. 
Your Background:

Experience of business/data analyst experience, with a focus on HR Reporting/HR Controlling in a global context.
Strong understanding of technical solutions in HR analytics, with experience in requirement gathering and solution recommendation.
Experience with SAP SuccessFactors, SAP BW and SAP Analytics Cloud preferred.
Proven ability to analyse complex data sets and find ways to transform them into actionable recommendations for stakeholders.
Excellent interpersonal and communication skills to effectively engage and influence stakeholders at all levels. 
Company:

Our client is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. They have an interdependent global manufacturing network that's committed to delivering a compliant, reliable supply to customers and patients on time, every time, across the globe.

Location:

This role is based at our clients site in Darmstadt, Germany.

Apply:

Please quote job reference (Apply online only) in all correspondence. 

Please note: 

This role may be subject to a satisfactory basic Disclosure and Barring Service (DBS) check.

If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (cka-group) and follow us to see our latest jobs and company news

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.