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Decision Science Analyst

Job in Saint Petersburg, Pinellas County, Florida, 33739, USA
Listing for: Kobie
Full Time position
Listed on 2026-01-16
Job specializations:
  • Business
    Data Analyst
Job Description & How to Apply Below

Join a National Top Workplace

Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth‑focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers.

Work

Location

While our headquarters are in St. Petersburg, Florida, Kobie embraces a flexible work environment. Teammates have the freedom to work remotely from anywhere.

Benefits
  • Flexible Time Off to recharge when needed
  • Nine Company‑Wide Holidays
  • A diverse suite of benefits prioritizing your growth, development, and personal well‑being
injectionx Opportunities

We find actionable insights in our clients’ loyalty data that help drive enterprise value. We create real‑time dashboards to inform internal and external stakeholders. This position is a client‑facing, hands‑on role that is responsible for helping shape our clients’ strategic direction for their loyalty initiatives.

Responsibilities
  • Play a key role as part of a team responsible for delivering data‑driven, actionable customer insights that directly contribute to increased sales/profit through our clients’ customer loyalty programs, while collaborating closely with Strategy and Client Services teams to align on client objectives and deliver impactful results.
  • Build and maintain audience lists to support the CRM team in executing targeted campaigns and achieving engagement goals.
  • Provide actionable recommendations that drive business objectives by drawing out key insights from in‑depth, complex data sources based on a thorough understanding of client’s strategy, success criteria, and program objectives.
  • Develop data visualizations and narratives that make data and analysis consumable by all levels and expertise of internal and external stakeholders.
  • Collaborate with Data Engineering and Business Intelligence teams to design and develop new tools, models, and data sources to support our clients’ business objectives and overcome challenges.
  • Proactively create learning agendas, test plans, and solutions that make attribution unassailable and maximize key KPIs such as incremental ROI and LTV.
  • Manage workflow ndooping and prioritization of client requests and Kobie investments.
Qualifications
  • 2–4+ years previous relevant customer analytics and/or marketing/CRM experience.
  • Great storyteller with data that can influence senior stakeholders with insights and recommendations.
  • Familiarity with data exploration and data visualization tools like Tableau, Power

    BI, or Sigma.
  • Demonstrated success using customer segmentation techniques such as RFM, cluster analysis, and regression modeling to drive targeted marketing.
  • Solid project management skills and experience in juggling multiple projects at a time.
  • Bachelor’s Degree in Statistics, Marketing, Economics, or Computer Science.
  • Python/SQL programming experience preferred.
  • Master’s in Statistics, Economics or Applied Mathematics, or MBA, preferred.
  • Proficiency in fundamental marketing and loyalty principles, preferred.
About Kobie

As a trusted partner, Kobie delivers market‑leading, end‑to‑end loyalty solutions designed to enable customer experiences for the world’s most successful brands. We do this with a strategy‑led technology approach that uncovers the truth behind what drives coverage consumers on an emotional level. We believe that our team’s passion and expertise are the driving forces behind our success and are proud to be الأرًا named a Top Workplace in the USA.

Commitment

to Diversity

Employment at Kobie is based solely

LIKE on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race, color, religion, gender, sexual orientation, gender identity / expression, nationality, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected杭 by applicable law.

We are fiercely committed to fostering a workplace where…

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