Data Quality Expert - Ataccama ONE at Fusion Consulting

Mainz, Rhineland-Palatinate, Germany -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, Ataccama ONE, Data Architecture, Data Pipelines, Metadata Management, KPI Monitoring, Analytical Skills, Communication Skills, Cross-Functional Collaboration, Autonomous Work, Data Governance, Data Profiling, Rule Execution, Data Monitoring, Technical Configurations, Reporting Tools

Industry

IT Services and IT Consulting

Description

Company Description Swiss Delivery Excellence: 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 seeking a proactive Data Quality Expert to support the early-stage adoption of Ataccama ONE across business units within a leading pharmaceutical environment. In this role, you will not only bring technical knowledge of data quality tools but also play a key role in educating stakeholders on the value of data quality initiatives. You will act as an ambassador for Ataccama ONE, guiding client departments through their first steps in leveraging the tool and helping them understand the business rationale behind data quality rule creation. This role is ideal for someone who can bridge the gap between business and IT, translating technical capabilities into tangible business benefits. Key Responsibilities: Implement data quality KPIs in Ataccama ONE. Engage stakeholders across business units to promote understanding and adoption of Ataccama ONE. Conduct workshops or one-on-one sessions to demonstrate the value of data quality initiatives. Support departments in defining their initial data quality needs and rules. Educate non-technical stakeholders on the business impact of data quality rules and KPIs. Guide teams through the onboarding process with Ataccama ONE, ensuring alignment with central data governance concepts. Translate business requirements into technical configurations, rules, and monitoring logic. Work closely with business consultants and concept owners to align on execution priorities and timelines. Develop, test, and deploy data quality dashboards and reports based on defined KPIs. Troubleshoot technical issues related to data profiling, rule execution, and data monitoring. Document implementation steps, processes, and data flows for audit and operational readiness. Support the handover to operations or data stewardship teams. Qualifications Must-Have Skills and Competencies: Hands-on experience with Ataccama ONE Strong technical understanding of data architecture, data pipelines, and metadata management. Experience implementing KPI monitoring and data quality rules in enterprise environments. Strong analytical skills with the ability to understand complex data models and structures. Excellent communication skills for cross-functional collaboration with business and technical teams. Ability to work autonomously while adhering to concept and governance standards. Optional Skills and Competencies: Experience working in the pharmaceutical or life sciences sector. Familiarity with data integration platforms, SQL scripting, or API-based configurations. Understanding of regulatory frameworks such as GxP or GDPR. Experience facilitating training or onboarding sessions. Experience using reporting or visualization tools (e.g., Power BI, Tableau) for KPI presentation. Additional Information Why Fusion? At Fusion, we unite entrepreneurial minds from around the globe to develop and implement game-changing solutions that build lasting relationships with our clients. We value employees who challenge the status quo through innovation, adapt to diverse client needs in ever-changing environments, and commit to continuous learning—for themselves and their colleagues. We provide a competitive salary and benefits package, along with an outstanding work environment that fosters long-term career development opportunities. Our Benefits: Workflex: Enjoy 25 days of flexibility to work from your preferred global location. Flexible Time Off: Take the time you need to recharge and maintain a healthy work-life balance, with flexibility beyond standard holiday allowances. Annual Training Budget: Access CHF 1,500 to invest in your professional development and skill enhancement. Continuous Learning: Thrive in an environment that encourages ongoing learning, with opportunities to develop new skills and broaden your expertise. Global Mobility Support: Gain assistance with international assignments, visa/permit support, and relocation services. Unity Scheme: Benefit from loyalty rewards starting after 3 years of service. Referral Program: Earn a referral fee for every successfully hired referee. Local Benefits: Access a range of country-specific benefits tailored to your location. People Focus: Unite with the best global talent in life sciences, empowered to grow and collaborate in a vibrant environment. Truly Global: Join a truly global organization where mutual support, teamwork, and diversity drive our collective success.

Responsibilities

The Data Quality Expert will implement data quality KPIs in Ataccama ONE and engage stakeholders to promote understanding and adoption of the tool. They will also educate non-technical stakeholders on the business impact of data quality rules and guide teams through the onboarding process.