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Kpm Analytics Jobs (NOW HIRING)

Our team is known for being subject matter experts of KPM processes for Kroger Model and owners of a broad set of analytical and external-facing tools. We solve complex client and customer problems ...

You will liaise with airline customers to deliver their KPM objectives in a safe and secure manner ... Monitor and analyze operational and financial reports to identify areas for improvement and profit ...

Finance & Accounting Reports To: CFO / Principal / Comptroller Role Overview We are looking for a detail-oriented and financially sharp Treasury & Finance Operations Analyst to own daily treasury ...

Finance & Accounting Reports To: CFO / Principal / Comptroller --- Role Overview We are looking for a detail-oriented and financially sharp Treasury & Finance Operations Analyst to own daily treasury ...

Analyze Key Performance Metrics (KPM's) * Manage Procurement and Resource allocation * Ensure high quality construction work that adheres to all safety policies and procedure * Manage all ...

Analyze Key Performance Metrics (KPM's) * Manage Procurement and Resource allocation * Ensure high quality construction work that adheres to all safety policies and procedure * Manage all ...

... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ... KPM), Mission Planning Meetings (MPM), and Test Phase Reviews (i.e. Mission Planning Review [MPR ...

Attend Kick-off Planning Meetings (KPM), Mission Planning Meetings (MPM), and Test Phase Reviews (i.e., Mission Planning Review [MPR], Mission Analysis Review [MAR], Mission Readiness Review [MRR ...

New

Attend Kick-off Planning Meetings (KPM), Mission Planning Meetings (MPM), and Test Phase Reviews (i.e., Mission Planning Review [MPR], Mission Analysis Review [MAR], Mission Readiness Review [MRR ...

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Kpm Analytics information

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$64.5K

$125.3K

$179K

How much do kpm analytics jobs pay per year?

As of Jun 6, 2026, the average yearly pay for kpm analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is KPM Analytics and what do they do?

KPM Analytics is a company that develops and manufactures analytical instruments and solutions for industries such as food, agriculture, environmental, and industrial markets. Their products help businesses measure, analyze, and ensure the quality of their products by providing precise and reliable data. KPM Analytics offers a wide range of technologies, including near-infrared, imaging, and wet chemistry analysis, to support quality control, process optimization, and regulatory compliance.

What are the typical collaborative dynamics for analysts working at KPM Analytics, and how do cross-functional teams contribute to project success?

Analysts at KPM Analytics often work closely with cross-functional teams that include engineers, product managers, and sales professionals. This collaborative environment allows you to gain insights from various perspectives and ensures that analytical findings are effectively integrated into product development and client solutions. Regular meetings, data-sharing platforms, and project management tools support seamless teamwork. Being adaptable and proactive in communication is essential, as projects may shift priorities based on client needs or technological advancements.

What are the key skills and qualifications needed to thrive as a KPM Analytics Specialist, and why are they important?

To thrive as a KPM Analytics Specialist, you need strong analytical abilities, data interpretation skills, and a background in fields like chemistry, engineering, or food science. Familiarity with laboratory instrumentation, data analysis software, and certifications in quality control or analytical testing are typically required. Strong attention to detail, problem-solving skills, and effective communication help professionals excel in this role. These competencies are crucial for ensuring accurate measurement, quality assurance, and actionable insights in process or product analytics.

What is the difference between Kpm Analytics vs Data Analyst?

AspectKpm AnalyticsData Analyst
Required CredentialsBachelor's in Business, Analytics, or related field; certifications like CAP or Microsoft Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst or Google Data Analytics
Work EnvironmentCorporate settings, consulting firms, or analytics agenciesBusiness, finance, healthcare, or tech industries in office environments
Employer & Industry UsageUsed by companies seeking analytics solutions, often in consulting or internal teamsEmployed by organizations analyzing data to inform decisions across sectors

While both roles involve data analysis, Kpm Analytics typically refers to a specialized analytics service or platform, whereas Data Analysts are professionals performing data analysis tasks. The roles overlap in skills and certifications but differ in scope and application.

More about Kpm Analytics jobs
Infographic showing various Kpm Analytics job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 10% Hybrid, and 11% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

Senior Data Scientist (P1553)

84.51°

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)
You will be joining a team of data scientists operating within the PL&S at 84.51°. Our team partners across multiple portfolios, including Our Brands, Kroger Personal Finance, and the Kroger Enterprise Marketing organization, to support media strategy & execution, targeting, measurement, and enterprise level marketing initiatives.
We work closely with the Our Brands and Kroger Personal Finance teams to plan, execute and measure targeted media and deliver insights that drive growth and efficiency. The team leads the execution of brand loyalty mailers for the Big 3 Our Brands, with a focus on rewarding high-brand-loyal households that drive the greatest business value. We also collaborate with Kroger Marketing to execute and measure activations across a range of initiatives, ensuring data driven insights inform business decisions.
Our team is known for being subject matter experts of KPM processes for Kroger Model and owners of a broad set of analytical and external-facing tools. We solve complex client and customer problems by applying the most appropriate statistical and analytic approaches to answer meaningful business questions. In this role, you will be on the front lines supporting Sales and Account Management partners, while also developing deep expertise in retailer data.
You will work hands-on with large-scale retailer databases and leverage the full suite of 84.51° technical and visualization tools, including Python, SQL, Excel, Power BI, and internal platforms, to deliver timely, relevant, and actionable insights. We expect all data scientists on our team to be deeply engaged in advanced analytics and comfortable working directly with data to drive impact.
Responsibilities:
  • Lead end-to-end analytics and data science projects, managing stakeholders and delivering solutions on time, within scope, and to business objectives.
  • Develop a strong understanding of the end-to-end CRM (Our Brands Loyalty Mailer) targeting and measurement process to ensure the timely, accurate delivery of mailers and the generation of actionable insights.
  • Apply optimizations and scientific enhancements in targeting to improve customer engagement and maximize ROI.
  • Partner closely with Sales and Account Management to own the analytic relationship for OB, driving engagement and shaping analytical offerings through feedback and insight.
  • Translate complex first-party data into clear, actionable customer stories and recommendations that inform media strategy, optimization, and business decisions.
  • Drive continuous improvement through stronger measurement methodology, increased automation, and clearer data visualization that leads to more actionable insights.
  • Attain deep expertise in 84.51° and KPM data assets, measurement techniques, QA processes, and analytic capabilities, confidently applying them to internal and external business needs.
  • Collaborate across data science, product, engineering, and capabilities teams to validate new use cases, assess data quality, and support innovation.
  • Mentor and support junior data scientists through onboarding, coaching, and knowledge sharing, while championing best practices across the data science community.

Qualifications, Skills and Experience:
  • Bachelor's degree in statistics, mathematics, business analytics, economics, marketing, or related discipline.
  • 2+ years of experience in retail, ad technology, digital media, and/or advertising analytics.
  • 2+ years of experience in data science, ad technology, digital media, and/or advertising analytics.
  • 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients.
  • 2+ years of experience using advanced algorithms, programming languages (Python, SQL), or technologies in the development of technical analytics solutions, capabilities, and ad hoc analyses.
  • Experience working cross-functionally to continuously improve existing solutions based on client feedback and validated demand.
  • Strong interpersonal and communication skills including excellent verbal, written, presentation, and consultation skills.
  • Comfortable conveying complex data science techniques and methodological approaches to less technical audiences - both internal and external.
  • Strong analytical, problem-solving and decision-making skills.
  • Strong data visualization and business acumen skills to link analysis to business impact (grocery and/or retail experience is a plus).
  • Natural curiosity that welcomes and embraces ambiguity and change, with a willingness to try new things and to fail.
  • Excellent attention to detail, organization skills and ability to work in a collaborative environment.

#LI-AB1
Pay Transparency and Benefits
  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$98,000-$169,050 USD