FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Data Analytics Manager – Business Insights
TA InstrumentsData Analytics Manager leading enterprise BI and insight products at Waters Corporation, a life sciences and diagnostics technology company. Guiding analytics teams and senior leaders toward data-driven decisions.
Posted 8/15/2026full-timeMilford • Massachusetts • 🇺🇸 United StatesSeniorLead💰 $112,500 - $187,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Business Intelligence and analytics product ownership, with a strong focus on translating business strategy into actionable insights. Proficient in leading data engineering teams and defining KPIs, while effectively communicating with both technical and non-technical stakeholders.
Highest-signal resume keywords
Business Intelligence LeadershipAdvanced SQL ProficiencyData Modeling ExpertiseAnalytics Product OwnershipStakeholder Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalyticsKPI DesignData Quality ManagementProcess MiningAnalytical Vision DefinitionEvent-Based DatasetsMetric DesignData SynthesisTechnical Literacy in DataBusiness Analytics
Soft Skills
Excellent CommunicationInfluencing DecisionsTeam LeadershipStakeholder AdvisingCross-Functional Alignment
Tools & Technologies
Power BITableauCelonisSAPSalesforceModern Data Platforms
Industry Keywords
Enterprise EnvironmentData EngineeringAnalytics InitiativesMetric StandardizationAI-Enabled Insights
Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Own the vision and roadmap for business intelligence and insights across key enterprise domains
- Translate business strategy and leadership questions into analytical problems, metrics, and products
- Lead a Data Engineering and Analytics team
- Prioritize analytics initiatives based on business impact, feasibility, and strategic alignment
- Define success criteria and adoption measures for analytics products and dashboards
- Lead the definition of KPIs, scorecards, and insight narratives
- Advise senior stakeholders and support fact-based decisions through data
- Synthesize complex data into executive-ready insights and recommendations
- Drive alignment across functions on metric definitions, assumptions, and interpretation
- Provide technical guidance on solution design, data quality, and scalability
- Champion best practices in metric design, documentation, and reuse
Requirements
What you’ll need- Bachelor’s degree in a quantitative or business discipline, such as Business Analytics, Economics, Engineering, or Computer Science
- 8+ years of proven experience in Business Intelligence, analytics product ownership, or insight leadership in a complex enterprise environment
- Strong technical literacy in data and analytics
- Knowledge of data modeling and KPI design
- Advanced SQL and analytics concepts
- Understanding of modern data platforms and pipelines
- Ability to define analytical vision and translate it into delivered outcomes
- Experience with process-oriented analytics or process mining platforms, such as Celonis, Power BI, or Tableau
- Experience with event-based datasets
- Experience partnering with VP-level and above senior business stakeholders
- Experience influencing decisions through data
- Experience leading and managing customer insights and data analytics teams
- Excellent communication skills and ability to engage technical teams and non-technical leaders
- Ability to work onsite at Milford, MA Tuesday to Thursday and remotely Monday and Friday
- US Citizen or Permanent resident preferred
- Preferred: experience with SAP, Salesforce or other commercial/service platforms
- Preferred: experience supporting enterprise transformations, integrations, or large-scale metric standardization
- Preferred: exposure to advanced analytics, automation, or AI-enabled insight use cases
Benefits
Comp & perks- Hybrid work arrangement: onsite Tuesday through Thursday and remote Monday and Friday
- Equal opportunity workplace
- Affirmative action employer