Decision Science Analyst

Kobie

. Deliver data-driven, actionable customer insights that contribute to increased sales/profit through clients’ customer loyalty programs .

Posted 10/14/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in customer analytics and marketing strategies, leveraging data visualization tools and programming skills to drive actionable insights and enhance client loyalty programs. Proficient in project management and collaboration with cross-functional teams to achieve strategic objectives.

Highest-signal resume keywords

Customer Analytics ExperienceData Visualization SkillsPython ProgrammingProject Management SkillsCustomer Segmentation Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Customer AnalyticsData VisualizationPythonSQLRFM AnalysisCluster AnalysisRegression ModelingMarketing PrinciplesData ExplorationStatistical Analysis

Soft Skills

Storytelling with DataInfluencing StakeholdersCollaborationTime ManagementProblem Solving

Tools & Technologies

TableauPowerBISigmaCRM ToolsData Engineering Tools

Certifications & Qualifications

Bachelor’s Degree in StatisticsBachelor’s Degree in MarketingBachelor’s Degree in EconomicsBachelor’s Degree in Computer ScienceMaster’s in StatisticsMaster’s in EconomicsMaster’s in Applied MathematicsMBA

Industry Keywords

Customer Loyalty ProgramsEngagement GoalsROILTVClient Strategy

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Deliver data-driven, actionable customer insights that contribute to increased sales/profit through clients’ customer loyalty programs
Collaborate 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 from in-depth, complex data sources based on client strategy, success criteria, and program objectives
Develop data visualizations and narratives for internal and external stakeholders
Collaborate with Data Engineering and Business Intelligence teams to design and develop new tools, models, and data sources
Create learning agendas, test plans, and solutions to maximize incremental ROI and LTV
Manage workflow, scope, and prioritization of client requests and company investments
Help shape clients’ strategic direction for loyalty initiatives
Create real-time dashboards to inform internal and external stakeholders

Requirements

What you’ll need

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 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
Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role

Benefits

Comp & perks

Flexible Time Off to recharge when needed
Nine Company-Wide Holidays
A diverse suite of benefits prioritizing your growth, development, and personal well-being
Flexible work environment
Remote work
Supportive, innovative, collaborative, growth-focused culture