Procurement & Purchasing Data Analyst

When joining PerkinElmer, you select an experienced and trusted leader in scientific solutions, with the support of a global service network and distribution centers, providing the right solution, at the right time, to meet critical customer needs.  With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world, our dedicated team collaborates closely with commercial, government, academic and healthcare customers to deliver our broad portfolio of analytical solutions, and OneSource services. Job Title
Procurement & Purchasing Data Analyst
Location(s)
United Kingdom - OneSource Remote
Job Description
About PerkinElmer
Imagine a world where you could detect health issues sooner to treat them more effectively. Where food and water are always safe, even in remote corners of the earth.

And where scientific and medical research are enhanced to solve the greatest challenges of our times. At PerkinElmer, we imagine this world every day. Then, we innovate and collaborate to make it happen everywhere.

Our dedicated team of about 16,000 employees worldwide, pioneers scientific technologies for better detection, imaging, and informatics to help our customers work to create healthier families, improve the quality of life, and sustain the well-being and longevity of people globally. If you are seeking a meaningful, impactful, and stimulating career, look no further.

The Procurement & Purchasing Data Analyst will partner with Procurement, Finance and Insights to ensure customer and PerkinElmer data is complete, accurate, and accessible. This role has a specific focus on contract intelligence, vendor performance, and procurement decision support - translating operational data from OneSource and ServiceMax into actionable insights that drive smarter contracting decisions. The Data Analyst duties include collaborating with other data professionals to extract data figures, creating reports based on their findings, and monitoring key performance indicators (KPIs) to determine business initiatives’ success.

Job Responsibilities:

Interpret data, analyze results using statistical techniques and provide ongoing reports

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

Acquire data from primary or secondary data sources and maintain databases/data systems

Identify, analyze, and interpret trends or patterns in complex data sets

Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

Work with management to prioritize business and information needs

Locate, define, and go live with new process improvement opportunities

Vendor Performance & Capability Insights
Provide visibility into vendor performance beyond individual assets - analyzing trends across asset classes, sites, and regions, including response times and resolution rates

Support identification of appropriate vendors when assets are not on contract, enabling comparisons based on capability, speed of response, and repeat visit rates

Define What Good Looks Like for Contract Recommendations
Specify and maintain mandatory elements for every contract recommendation, including: contract status and entitlement, warranty position, asset criticality and utilization, failure and downtime history, and strategic supplier linkage

Contract Data Ownership & Quality
Own the contract data model linking assets, contracts, entitlements, and work orders; identify and take accountability for data quality

Maintain system linkage between contract records and operational performance data, ensuring integrity across connected platforms

Contract Decision Rules
Translate operational practice into structured decision logic covering: non-negotiable rules (warranty, regulatory), best-practice guidance (risk-based coverage), prioritisation logic (criticality vs redundancy vs cost vs uptime), and retrospective review logic to assess whether the right contract decisions have historically been made - including ad hoc vs contract spend analysis

Basic Qualifications:
Technical expertise regarding data models, database design development, data mining and segmentation techniques

Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Adept at queries, report writing and presenting findings

Bachelors Degree and 5+ years of relevant work experience OR

Associates Degree and 7+ years of relevant work experience OR

Highschool Diploma and 10+ years of relevant work experience

Preferred Experience:
Proven working experience as a Data Analyst or Business Data Analyst

BS in Mathematics, Economics, Computer Science, Information Management or Statistics or related experience

Experience with Data Visualization Software, preferably PowerBI

Proficient in use of SAP or similar ERP systems

Knowledge of EAM / CMMS systems desired; experience with SAP

Understanding of procurement and contract management principles, including vendor assessment, entitlement management, and spend analysis

Experience querying or working with Salesforce / ServiceMax data, or equivalent CRM / FSM platforms, to support operational and procurement reporting

Excellent written and oral communication skills

Proven operational ability to visualize, identify steps and implement processes

Exhibits strong bias for action and results orientation, tackling tough problems with firm deadlines, championing positive change