Merck Director, Business Analytics, and Insights Cheyenne, Wyoming
Director, Business Analytics and Insights is a critical leadership role with responsibility to proactively uncover quantitative and qualitative insights, explore business opportunities, and drive meaningful actions.
This leader will be instrumental to deliver incremental revenue and / or reduce cost for the organization and enable better experience for the customers.
We expect this individual can tell a data driven cohesive story and guide Companion Animal and Equine Business Unit (CABU) leaders with strategic perspectives to make informed strategic and operational decisions.
This role will provide direction and thought leadership to a team of 4 committed analysts so that they can derive actionable insights and provide business impacting recommendations for different projects.
Read all the information about this opportunity carefully, then use the application button below to send your CV and application.
Goal of this leadership position is to help the organization leverage data to further reveal the value of our innovations and drive efficiencies across the Profit and Loss (P&L).
This role will serve as an analytics leader who leverages quantitative reporting and meaningful insight from data to make better business decisions.
This individual will be playing a vital role and collaborating cross-functionally with marketing, sales, strategic account, channel management, commercial operations, and IT teams to facilitate continuous improvement efforts via feedback and ROI analysis.
Critical thinking, problem solving and communication skills to influence without authority and driving decisions in a fast-paced business environment are critical skills in this role.
Responsibilities :Skills :
- Organizational Skills
- Understands the value of process-centric and strategic approach to business analysis and change management.
- Self-starter and be able to handle multiple tasks and priorities in a matrix organization.
- Strong analytical and problem-solving skills balanced with a creative mindset.
- Ability to communicate at all organizational levels including peer level cross-functional teams as well as executive management.
- Strong project management, multi-tasking, and business planning skills; must be strategic and analytical thinker.
- Ability to work independently and within a team and direct the resolution of highly complex or unusual business problems.
- An innovative spirit, can-do attitude, and strong sense of customer service.
- Possess strategic planning, communication and presentation skills who attentively listens to diverse point of view and influences, and be proficient in data management.
- Technical Skills
- Proficiency in Microsoft Office suite of products : Word, Excel, and PowerPoint.
- Advanced Excel skills to develop models for predictive analytics from different data sources.
- Experience with data visualization tool and statistical modeling.
- Proficiency in using query languages and statistical programming.
- Understanding of machine learning techniques and algorithms.
- Experience with data science and big data toolkits.
Minimum Qualifications :
- Master’s degree in Marketing, Data Science, Accounting, Finance, Mathematics, Economics, Computer Science, Statistics or Business Administration (MBA).
- 5 years of work experience with data analysis and marketing intelligence to identify trends extract relevant insights and making strategic recommendations.
- Experience leading cross-functional teams to facilitate continuous improvement efforts collaboratively with team and peers across organization preferred.
- Preferred Animal Health experience.
US and Puerto Rico Residents Only :
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities.
Please click here if you need an accommodation during the application or hiring process.
We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics.
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