Data, Analytics & Sales Force Effectiveness LeadExperience Level: Senior Level | Posted Date: 2025-04-14
Job Description
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Position overview:
Join our Digital, Data and Analytics Team! In this role you will be responsible for managing our Data, Analytics and Sales Force Effectiveness areas, developing strategies to boost our commercial success, and providing insightful analytics to the business stakeholders. You will have the opportunity to work in close collaboration with local and regional stakeholders, talented and dedicated colleagues while developing and expanding your career. This role reports to the Leadership Team member - Digital, Data & Analytics Lead - and is responsible for leading a Team of specialists, who own service-provision responsibilities in the following areas: Data & Analytics and Sales Force Effectiveness.
What You’ll Do:
Lead and Develop: Oversee a high-performing team of 4 professionals specializing in Data Analytics (D&A) and Veeva CRM System, fostering a culture of continuous improvement, innovation, and professional development.
Strategic Development and Implementation: Design and execute a comprehensive data and analytics strategy tailored for the local market, aligning closely with organizational goals to enhance data-driven decision-making across all commercial functions. Ensure this strategy is agile and responsive to evolving market conditions.
Cross-Functional Collaboration: Engage with Regional and Global Data and IT Subject Matter Experts (SMEs) and teams to architect and optimize robust data infrastructure and flow processes. Guarantee seamless data movement and integration across various platforms while safeguarding data integrity and accessibility for local stakeholders.
Stakeholder Engagement: Facilitate monthly cross-functional stakeholder meetings to present data insights and analytics findings, while assessing and reporting on the performance of commercial and customer engagement strategies. Drive alignment and strategic buy-in at all organizational levels.
BI Development and Innovation: Spearhead the development and ongoing enhancement of Business Intelligence (BI) analytical and data visualization solutions for all sales and marketing endeavors within the Polish subsidiary, leveraging advanced analytics to drive actionable insights.
Data Governance Leadership: Direct the establishment and enforcement of robust data governance frameworks and processes, ensuring compliance with regulatory standards and best practices in data management.
Organizational Training and Communication: Design, implement, and facilitate comprehensive training programs to elevate organizational knowledge on data analytics processes and tools, driving usage and adoption across departments.
Capability Evaluation and Optimization: Assess, deploy, and enhance data and analytics capabilities that empower commercial teams with actionable insights and resources necessary for effective customer engagement, fostering a data-driven culture.
Performance Tracking and KPIs: Collaborate with regional and local stakeholders to define, monitor, and analyze key performance indicators (KPIs) for sales teams, enabling precise measurement of promotional efforts and effectiveness.
Promotional Strategy Alignment: Extract and leverage customer data insights to inform and refine promotional strategies, ensuring alignment with customer feedback loops and enhancing overall customer engagement.
Sales Targets and Incentive Design: Partner with Franchise and Sales Managers to collaboratively define individual sales targets and bonus criteria, ensuring alignment with overall business objectives.
Field Force Effectiveness Program implementation: Collaborate with regional DD&A and IT functions to develop and localize capabilities that effectively track and analyze field force performance, enabling data-driven decision-making.
You should apply if you have:
Proven leadership competencies: Business savviness, Strategic planning, Coaching & Development, Execution Excellence.
When determining the ideal domain experience, consider the specific objectives of your Digital, Data & Analytics Unit and how the candidate’s expertise can contribute to those goals. Additionally, you may want to prioritize versatility in analytical skills to enable the candidate to adapt to various analytical challenges your organization may face.
We encourage you to apply, especially if you have:
Master’s degree or international equivalent degree that provided training in quantitative methods: e.g. in Econometrics, Data Analytics, Data Science, Physics, Sociology
At least 8 + extensive commercial experience with incl. people management, in a pharmaceutical company, biotech, retail, e-commerce, medical industry or start-up
Extensive experience in Statistical Analysis & Data Science, Analytical Reporting Visualization and Insights Generation; strong knowledge of BI tools
Hands on experience in programming languages (e.g. Python, R, SQL)
Robust understanding of Data Engineering aspects
Polish native, proficiency at a business level of English required.
We set financial rates based on regular market reviews. We care about equality and comfort. We provide a high standard of work tools and great development opportunities.
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Current Contingent Workers apply HERE
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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
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Job Posting End Date:
04/18/2025*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.