Decision Science Analyst @Kobie Marketing
Data Analysis
Salary unspecified
Remote Location
Job Type full-time
Posted 4d ago

[Hiring] Decision Science Analyst @Kobie Marketing

4d ago - Kobie Marketing is hiring a remote Decision Science Analyst. 💸 Salary: unspecified 📍Location: Worldwide

Role Description

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.

This position is a client-facing, hands-on role that is responsible for helping shape our clients’ strategic direction for their loyalty initiatives.

  • 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.
  • Collaborate 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.
  • 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.
  • Proactively create learning agendas, test plans, and solutions that maximize key KPIs such as incremental ROI and LTV.
  • Manage workflow, scope, 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, PowerBI, or Sigma.
  • Demonstrated success using customer segmentation techniques such as RFM, cluster analysis, and regression modeling.
  • 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.

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.

Company Description

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 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 named a Top Workplaces in the USA.

We celebrate and embrace diversity at Kobie! Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence.

We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day.

Before You Apply
worldwide Be aware of the location restriction for this remote position: Worldwide
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Decision Science Analyst @Kobie Marketing
Data Analysis
Salary unspecified
Remote Location
Job Type full-time
Posted 4d ago
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worldwide Be aware of the location restriction for this remote position: Worldwide
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
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