Data Analyst, Project Manager

Thermo Fisher Scientific is a healthcare and life sciences company whose Fisher Healthcare business serves the lab diagnostics industry. The Data Analyst, Project Manager will support digital marketing and broader commercial teams by building dashboards, analyzing marketing and commercial data, leading SEO insights, and managing initiatives from intake through benefit tracking. The role will also standardize measurement processes, deliver decision support, and drive cross-functional continuous improvement.

Responsibilities:

• Build Power BI dashboards and reporting ready for leadership; ensure the accuracy, tagging, and flow of data across Adobe Analytics, Eloqua, and Salesforce, and translate performance across channels and campaigns into clear, actionable recommendations
• Analyze transactional and finance data to support sales performance, pricing, and growth initiatives; use SQL and Databricks to model and pull data from our enterprise data platform, and deliver insights that shape commercial decisions
• Lead organic search insight generation using tools such as Semrush; diagnose traffic and visibility trends, identify root causes, and set direction for global team members, contractors, and consultants, then report on how efforts are materializing
• Standardize campaign structure, tagging, and tracking across email and digital channels; partner with operations, marketing automation, and creative teams to verify each step works end to end so reporting is consistent and reliable
• Develop segmentation, funnel, and journey analyses leveraging Salesforce/CRM data to understand customer groups, account structures, and behavior across the healthcare care continuum
• Manage marketing and commercial initiatives end to end, from intake and prioritization through execution and benefit tracking; build weekly project plans in Smartsheet and Excel while keeping portfolio status, funding, and milestones current in Workfront for visibility across the division
• Communicate status, deadlines, tradeoffs, risks, and plans to get back to green proactively; frame decisions with options and recommendations, and present to leadership with confidence
• Build productive relationships across divisional and corporate teams in a large matrixed organization, and streamline reporting and analysis through automation and Generative AI tools

Requirements:

• Bachelor's degree or equivalent
• 5+ years of relevant data analytics experience across marketing and commercial domains, including project management of your own workstreams
• Proven proficiency with Power BI, SQL, Databricks, Adobe Analytics, Eloqua or comparable marketing automation platforms, Salesforce.com or other enterprise CRMs, and Generative AI tools
• Experience working with transactional and finance data, including modeling and pulling data from enterprise data platforms
• SEO and organic search analysis experience with tools such as Semrush; able to interpret trends and set direction rather than simply pulling reports
• Experience managing projects at both the execution level, with detailed plans in tools like Smartsheet and Excel, and the portfolio level, in enterprise work management systems such as Workfront, including intake, prioritization, and status reporting
• Strong analytical and data skills, with proven ability to transform marketing and commercial data into meaningful, actionable initiatives that support business growth; an innovative problem solver with an outstanding customer first mentality
• Disciplined project management: organized, accountable, and able to keep multiple workstreams on track at both a detailed and portfolio level
• Self-motivated with an owner's mindset; able to weigh tradeoffs, form a recommendation, and move work forward with minimal direction, adapting as business needs shift
• Collaborative influencer with superb communication and presentation skills; builds trust across corporate and divisional teams and can direct extended teams and vendors without formal authority
• ideally with focused training in data or marketing analytics
• Familiarity with Agile and Six Sigma is an advantage
• familiarity with healthcare account structures, contract membership (CMTs), GPO/IDN relationships, and healthcare data is a material advantage
• Experience in healthcare, diagnostics, or medical distribution is a plus