Data Integration & Analytics Consultant (Pharma) at Fusion Consulting

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Integration, Data Analytics, Enterprise Data Platform, Source System Analysis, Data Availability, Data Readiness, Data Quality, Source-to-Target Mapping, Data Lineage Documentation, Data Profiling, Ingestion Planning, S4HANA, Cloud Technologies, Business Intelligence, Stakeholder Collaboration

Industry

IT Services and IT Consulting

Description

Company Description Transforming Life Science Consulting Worldwide. Fusion Consulting is a globally leading Business and IT boutique consultancy specialized in the Life Sciences industry, partnering with leading companies in pharma, healthcare, and animal health. With over 450 employees and 25 offices worldwide, our mission is to revolutionize our clients' business transformation challenges and set new industry standards through innovative solutions. Focused on S4HANA, Data & Cloud, and innovative technologies, Fusion Consulting brings unparalleled expertise and commitment to excellence to every project we undertake. Grounded in our commitment to fast and intelligent decision-making, our client-first and open-hearted approach defines our ethos. With unwavering support and an entrepreneurial spirit, our global teamwork transcends boundaries and turns shared visions into reality. Job Description We are looking for a Data Integration & Analytics Consultant to support the design and delivery of a modern enterprise data platform for a global pharmaceutical organization. In this role, you will bridge the gap between business needs and technical implementation by analyzing source systems and providing clear, structured inputs on data availability, readiness, and quality. What You Will Be Doing: Identify and document data sources that support business and reporting use cases Capture source ownership, interfaces, refresh cycles, and known constraints Support source-to-target mapping and data lineage documentation Conduct basic data profiling to surface data quality issues and risks Flag readiness, connectivity, and compliance considerations early in the process Provide structured inputs to support ingestion planning and prioritization Qualifications 2+ years of experience in data analysis, business intelligence, or source system analysis Foundational knowledge of data ingestion processes, interfaces, and data quality principles Strong attention to detail and a structured, methodical working style Ability to collaborate effectively with both business and technical stakeholders Additional Information WHY YOU SHOULD JOIN FUSION: At Fusion, you’ll join a diverse team of talented professionals from around the world, united by a passion for delivering impactful digital transformation in the life sciences industry. You’ll be part of a flat-structured, collaborative organization where decisions are made efficiently, and your expertise directly shapes client outcomes. You’ll work alongside experienced consultants on complex, meaningful projects that demand both precision and innovation. Our culture emphasizes continuous learning, open knowledge sharing, and cross-functional teamwork—empowering you to grow both professionally and personally. Joining Fusion means becoming part of a company that: Builds strong, trusted partnerships with clients, delivering tailored solutions that create real business value. Drives delivery excellence, holding ourselves accountable for the quality and impact of every outcome. Encourages entrepreneurial thinking, empowering you to take initiative, solve problems, and lead change. Operates with a truly global mindset, where diverse perspectives, cultures, and collaboration fuel our success. WHAT WE OFFER - FUSION BENEFITS We’ve designed our benefits to support your growth, well-being, and global mobility. Growth & Development Invest in Your Learning: Access annual training budget for professional development. Grow Your Skills: Join regular workshops and trainings to strengthen technical and soft skills. Advance Continuously: Build the mindset, confidence, and capabilities to grow your career on your terms. Shape an Inclusive Culture: Thrive in a workplace where your individuality is valued, and your voice drives meaningful change. Recognition & Reward Earn What You’re Worth: Receive a competitive salary and benefits package that reflects your impact. Refer Talent: Get rewarded for recommending new hires through our referral program. Global Mobility & Local Support Navigate Global Moves: Get help with visas, permits, and international assignments. Benefit Locally: Enjoy perks tailored to your country of residence. Collaborate Globally: Work in a diverse, inclusive culture where global teamwork drives success. OUR SELECTION PROCESS: Your time is valuable. That’s why our hiring process is clear, efficient, and focused on mutual fit: Upload Your CV – Submit your application using the relevant button, depending on the job platform (approx. 3 minutes). Wait for Profile Review – Our Talent Acquisition team will assess your CV and experience (approx. 2 weeks). Join an Introductory Call – Our Talent Acquisition team will arrange a brief conversation (15–30 minutes via Teams or phone) to tell you more about Fusion, the role, and understand your expectations. Attend a Technical Interview – Participate in a 30-minute session with one of our experts to discuss your skills and experience in more detail. Participate in a Client Interview (if applicable) – For some roles, you may be invited to a client-facing discussion (30–60 minutes online). Receive Final Feedback – We aim to share timely feedback and move forward quickly. Fusion is an equal opportunity employer. We value diversity and are committed to fostering an inclusive workplace for all.

Responsibilities

The consultant will support the design and delivery of a modern enterprise data platform for a global pharmaceutical organization by bridging business needs and technical implementation. Key tasks involve identifying and documenting data sources, capturing interface details, supporting mapping, and conducting basic data profiling to identify quality issues.