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- Aufgaben: Lead a team to create innovative data strategies for pharma clients.
- Arbeitgeber: Join a forward-thinking company driving digital transformation in the life sciences sector.
- Mitarbeitervorteile: Enjoy 30 days of vacation, a pension scheme, and access to extensive learning resources.
- Warum dieser Job: Shape the future of data analytics while working with top-tier clients and cutting-edge technologies.
- Gewünschte Qualifikationen: 8+ years in Data Analytics consulting, with strong leadership and technical skills required.
- Andere Informationen: Fluency in German and English is essential; remote work options may be available.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Are you ready to drive digital transformation and shape the future of data-driven decision making in Germany?
We are looking for a Lead Consultant/Data Analytics Consultant to join our Data & Analytics practice and work with leading pharmaceutical and life sciences clients to design cutting-edge data strategies, develop scalable platforms and build the data organizations of tomorrow.
#LI-DNI
Responsibilities
- Lead and support a team in the provision of consulting and data development services
- Develop and implement data strategies that align business objectives with advanced analytics and AI-driven insights
- Advise clients on the latest technologies, platforms and best practices in data & analytics ensuring they harness their full potential
- Lead development teams, identify client needs and deliver customized high-impact data solutions
- Drive business growth by expanding existing client relationships and contributing to the evolution of our service portfolio
- Analyse data, identify trends and make strategic recommendations to clients
- Ensure that project milestones and objectives are met within the set timeframe
Requirements
- 8+ years of experience in Data Analytics consulting specifically for Pharma & Life Sciences clients
- 5+ years of experience in leading Data Analytics consulting projects
- Expertise in data management, data strategy and cloud platforms (AWS, Azure or GCP)
- Proficiency in key analytics tools such as Python, R, SQL, Tableau and Power BI
- Strong understanding of Pharma & HCLS industry processes and regulatory requirements
- Exceptional problem-solving, analytical and communication skills with the ability to engage both technical and business stakeholders
- Experience in client-facing roles and project delivery demonstrating leadership and strategic thinking
- Fluency in German and English (both written and spoken)
We offer
- 30 days holiday per annum
- Company pension scheme
- EPAM Employee Stock Purchase Plan (ESPP)
- bitkom – Corporate Benefits
- Regular corporate and social events
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
- *All benefits and perks are subject to certain eligibility requirements
#J-18808-Ljbffr
Lead Consultant/Data Analytics Consultant, Pharma & Life Sciences (m/f/d) Arbeitgeber: EPAM
Kontaktperson:
EPAM HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Lead Consultant/Data Analytics Consultant, Pharma & Life Sciences (m/f/d)
✨Tip Number 1
Make sure to showcase your extensive experience in Data Analytics consulting, especially within the Pharma & Life Sciences sector. Highlight specific projects where you've successfully implemented data strategies and advanced analytics solutions.
✨Tip Number 2
Demonstrate your leadership skills by discussing instances where you've led teams or projects. Emphasize your ability to manage client relationships and deliver high-impact data solutions that align with business objectives.
✨Tip Number 3
Familiarize yourself with the latest technologies and platforms in data management and analytics, such as AWS, Azure, or GCP. Being able to discuss these tools confidently will show your technical expertise and readiness to advise clients effectively.
✨Tip Number 4
Since fluency in both German and English is required, practice articulating your thoughts on data analytics concepts in both languages. This will help you communicate effectively with diverse stakeholders during the interview process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Lead Consultant/Data Analytics Consultant, Pharma & Life Sciences (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your relevant experience in data analytics, especially within the Pharma & Life Sciences sector.
Highlight Relevant Experience: In your CV and cover letter, emphasize your 8+ years of experience in Data Analytics consulting and your leadership roles. Provide specific examples of projects where you developed data strategies or led teams to deliver impactful solutions.
Showcase Technical Skills: Clearly list your proficiency in key analytics tools such as Python, R, SQL, Tableau, and Power BI. Mention any experience with cloud platforms like AWS, Azure, or GCP, as these are crucial for the role.
Communicate Effectively: Since the role requires strong communication skills, ensure that your application is well-structured and free of errors. Use clear language to convey your ideas and demonstrate your ability to engage both technical and business stakeholders.
Wie du dich auf ein Vorstellungsgespräch bei EPAM vorbereitest
✨Showcase Your Experience
With over 8 years in Data Analytics consulting, make sure to highlight specific projects you've led in the Pharma & Life Sciences sector. Discuss your role in developing data strategies and how they aligned with business objectives.
✨Demonstrate Technical Proficiency
Be prepared to discuss your expertise in key analytics tools like Python, R, SQL, Tableau, and Power BI. Share examples of how you've utilized these tools to deliver impactful data solutions.
✨Engage with Business and Technical Stakeholders
Your ability to communicate effectively with both technical teams and business stakeholders is crucial. Prepare to share instances where you successfully bridged the gap between these groups to drive project success.
✨Discuss Industry Knowledge
Familiarize yourself with the latest trends and regulatory requirements in the Pharma & HCLS industry. Be ready to discuss how this knowledge has informed your approach to data management and strategy development.
