At a Glance
- Tasks: Transform complex data into actionable insights for marketing and sales strategies.
- Company: Join a leading pharma company focused on innovation and analytics.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative culture with mentorship opportunities and a focus on AI solutions.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Master’s degree and 5+ years in analytics; experience in pharma is a plus.
The predicted salary is between 40500 - 49500 £ per year.
The Senior Specialist, Business Insights & Analytics (BIA) is a strategic analytics partner supporting commercial, marketing, and omnichannel decision-making across priority therapeutic areas. This role transforms complex internal and external data into clear, actionable insights that shape brand strategy, customer engagement, sales effectiveness, and business performance. Acting as a data translator, the Senior Specialist BIA bridges business needs with analytics, data science, market research, and technology teams. The role contributes actively to a data-driven culture, ensures alignment with global analytics frameworks, and may mentor junior analysts while collaborating within the international BIA community.
WHAT YOU WILL DO
- Business & Commercial Insights
- Analyse current and historical performance data to identify trends, opportunities, and risks across brands, campaigns, customers, and channels.
- Provide fact-based recommendations to support marketing strategy, sales execution, forecasting, and omnichannel effectiveness.
- Translate complex analytics into clear narratives tailored to senior and non-technical stakeholders.
- Deliver ad-hoc analyses to support strategic and operational decision making.
- Performance Measurement & Reporting
- Contribute to the design of dashboards and standard reports tracking KPIs related to brand performance, sales force effectiveness, and customer engagement.
- Ensure consistency, equity, and robustness of KPIs across therapeutic areas and functions.
- Monitor campaign, brand, and omnichannel performance, highlighting insights and opportunities.
- Continuously improve reporting processes in collaboration with IT, global teams, and external partners.
- Advanced Analytics & Synthesis
- Leverage advanced analytics outputs (e.g. forecasting, segmentation, spend optimization) to enrich insights and recommendations.
- Partner closely with Data Science teams to contribute to or interpret predictive models when relevant.
- Support business planning and forecasting accuracy through analytical input and scenario analysis.
- Identify and integrate new data sources such as primary or secondary Market Research.
- Partner with IT, Data Stewards, and external providers to ensure data quality, integrity, and governance.
- Support compliant data usage in line with local and global policies (e.g. GDPR, market research standards).
- AI-Enabled Productivity & Insights
- Embrace AI as a core capability and proactively identify opportunities to apply AI solutions to business challenges and operational processes.
- Champion the responsible adoption of AI, balancing innovation with governance, compliance, and ethical considerations.
- Use AI tools to augment analysis, decision-making, content development, and workflow execution, improving team productivity and business impact.
- Contribute to and support the design and implementation of AI-enabled solutions that deliver measurable value and accelerate business outcomes.
- Cross-Functional Collaboration & Enablement
- Act as a trusted analytics partner to Marketing, Sales and DHH Capabilities Enablement teams.
- Collaborate within the global BIA community to share best practices and ensure strategic alignment.
- Contribute to data literacy initiatives and mentor junior analysts where applicable.
WHAT YOU MUST HAVE
- Master’s degree in Business, Economics, Statistics, Data Science, or related field.
- 5+ years in analytics or data analysis (regulated industry preferred).
- Commercial, marketing, or sales support experience required; pharma/healthcare a plus.
- Advanced skills with Excel, SQL, Tableau, Power BI; Python/R knowledge is beneficial.
- Working knowledge of AI and Generative AI technologies, including responsible and compliant use within a business environment.
- Experience leveraging AI tools to improve productivity, analysis, content development, and decision-making.
- Ability to interpret complex data, deliver actionable insights, and communicate effectively.
- Strategic problem solver with strong business acumen and storytelling skills.
- Collaborative team player experienced across business and technical teams.
- Adaptable and willing to learn new tools and approaches.
- Professional English for global collaboration is required; fluency in local language is preferred.
Required Skills: Advanced Analytics, Analytics Insights, Business Analysis, Business Decisions, Business Process Improvements, Customer Engagement, Governance Management, Marketing Management, Measurement Reporting, Performance Metrics, Program Management, Scenario Planning, Stakeholder Relationship Management, Strategic Planning, Tableau (Software), Workday Advanced Reporting.
Preferred Skills: Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA.
Sr. Spclst, Business Insights & Analytics - TW/HK employer: MSD
MSD is an exceptional employer that champions inclusivity and diversity, making it a great place for individuals looking to thrive in a supportive environment. With a strong focus on employee growth and development, particularly in the dynamic field of animal health, team members benefit from collaborative partnerships and innovative sales strategies tailored to the unique needs of farmers in Wales. The company fosters a culture of high performance while ensuring that employees feel valued and empowered to make a meaningful impact in their roles.
StudySmarter Expert Advice🤫
We think this is how you could land Sr. Spclst, Business Insights & Analytics - TW/HK
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MSD!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Sr. Spclst, Business Insights & Analytics - TW/HK at MSD.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MSD.
✨Apply Directly through Our Website
When you find a suitable opening like Sr. Spclst, Business Insights & Analytics - TW/HK at MSD, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Sr. Spclst, Business Insights & Analytics - TW/HK
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MSD, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MSD. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MSD
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MSD!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
