Senior Data Analyst, Steritech

Overview

This client-facing, strategic role is responsible for analyzing large and complex data, developing and implementing insights that address cost efficiency, advanced AI, and predictive analytics, and providing improvement recommendations for both clients and internal business partners. The role leads and manages analytics projects to develop solutions through understanding client strategies and providing analytical recommendations that enable clients (and the Steritech business) to achieve business goals.

• Obtain a deep understanding of relevant business areas, both internally and for clients, to recommend data‑driven solutions that address cost, efficiency, and quality improvements.
• Create and statistically analyze complex data (both internal and external) and identify patterns and trends to provide forward‑looking insights and recommendations to stakeholders.
• Lead and manage analytics project requirements and goals from start to finish, ensuring they are delivered on time and meet quality standards.
• Design and develop innovative business solutions (analytical models, data structures) that meet business needs and deliver them to client or business leadership.
• Engage stakeholders to establish measurable business metrics and analytical frameworks that evaluate the health of products, customer experience, and client performance.
• Prototype new analysis and reports to enhance business processes, operations, and information flow.
• Stay current with the latest developments in the analytics industry, championing the adoption of new technologies, tools, and best practices.
• Conduct research and analysis into process problems, including root‑cause analysis, and recommend solutions through clear reports, charts, and graphs.
• Coordinate and present concise summaries and briefings to senior management and client leadership that highlight key insights and recommended actions.
• Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and redesigning data infrastructure for greater scalability.
• Lead the research and development of data models to produce insights around complex and impactful problems for internal business challenges and client initiatives.
• Analytically investigate data using machine learning, text‑mining/NLP from structured and unstructured data to support new product development and customer service improvements.
• Retrieve, synthesize, and present critical data in a format that is immediately useful to answer specific questions.
• Regularly review and update existing data, models, and algorithms to ensure they remain relevant for client usage.
• Establish consultative relationships with key personnel throughout assigned client organizations to deliver high‑quality insights.
• Mentor junior team members.
• Perform other duties as assigned.

• Education: Bachelor’s degree in Mathematics, Statistics, Economics, Operations Research, Analytics, Engineering, or a related field; plus at least 5 years of relevant experience.
• Optional
  
  Education:
  
  Master’s degree in Business, Computer Science, MIS, or Business Analytics.
• Experience: 5–10 years in business intelligence and the technical space, managing projects and providing insightful recommendations.
• Technical
  
  Skills:
  
  Experience acquiring, cleaning, and analyzing large data sets; proficiency in SAS, R, Matlab, Python (Pandas/Scipy), Qlik, Tableau, PowerBI, or similar visualization tools.
• Programming: Advanced SQL knowledge and programming skills.
• Analytical Competence: Familiarity with relevant methodologies, tools, and techniques.
• Communication: Outstanding communication skills, with the ability to influence at all levels and convey complex technical information succinctly.
• Leadership: Experience leading and motivating others while demonstrating empathy and collaboration.
• Critical Thinking: Ability to formulate hypotheses, interpret results, and propose data‑driven solutions.
• Business Acumen: Intellectual curiosity, results orientation, persistence, and a strong understanding of business structure and operations.
• Mentorship: Demonstrated ability to coach less experienced business analysts.
• Expertise: In data structures, Excel, and PowerPoint.

$85,600 – $111,200 per year.

• Health benefits, including medical, dental, vision, disability, and life insurance, beginning on day1 for full‑time colleagues.
• 401(k) retirement plan with company‑matching contributions.
• Vacation days, sick days, company‑paid holidays, and floating holidays.
• Professional development programs and tuition reimbursement (full‑time).
• Work‑life balance initiatives and a flexible company mindset.

Rentokil is committed to equal opportunity employment and complies with all federal, state, and local laws regarding the employment of qualified individuals with disabilities. In Massachusetts, no lie detector test is permitted as a condition of employment.