Digital Product Analyst (Experimentation and Personalization)

Location: Onsite in Westlake, TX or Omaha, NE. Applicants must be authorized to work full-time in the United States without employer sponsorship.

Salary: USD $85,500–$130,000 per year, plus bonus or incentive opportunities.

Company

hirify.global provides financial services and digital experiences for clients, with a focus on experimentation, personalization, and evidence-based product decisions.

What you will do

• Own measurement strategies for experimentation and personalization, including KPIs, program health, platform utilization, adoption, outcomes, and business impact.
• Build dashboards, recurring reports, and executive-ready portfolio views that support priorities and investment decisions.
• Design and analyze A/B tests, multivariate tests, feature experiments, and controlled evaluations using appropriate statistical methods.
• Measure personalized experiences, audiences, recommendations, decision rules, and customer journeys across digital channels.
• Integrate and reconcile data from analytics, experimentation, personalization, audience, and business platforms using SQL, Python, APIs, and enterprise data tools.
• Partner with product, analytics, data science, technology, and business teams to establish standards, improve data quality, and scale reporting capabilities.

Requirements

• Bachelor’s degree in statistics, data science, mathematics, economics, computer science, business analytics, or a related field, or equivalent practical experience.
• At least 5 years of experience in data analysis, digital analytics, product analytics, experimentation analytics, decision science, or a related discipline.
• Experience designing measurement frameworks, defining KPIs, and building dashboards or recurring performance reports.
• Hands-on experience with hypothesis testing, confidence intervals, statistical power, sample size, and minimum detectable effect.
• Proficiency in SQL and at least one analytical programming language, preferably Python, plus experience working with APIs and multiple enterprise data sources.
• Ability to communicate analytical findings clearly, lead cross-functional work, build consensus, and influence technical and business stakeholders.

Nice to have

• Graduate-level education or advanced coursework in statistics, experimentation, analytics, or a related quantitative field.
• Experience with Adobe Analytics, LaunchDarkly, Optimizely, Adobe Target, Power BI, Tableau, or equivalent platforms.
• Experience with personalization, audience management, recommendation systems, customer decisioning, or next-best-action capabilities.
• Experience evaluating model or audience performance and working with cloud data platforms, enterprise warehouses, or data transformation workflows.
• Experience in digital products, mobile applications, financial services, or another regulated enterprise environment.

Culture & Benefits

• In-office collaboration with a focus on trust, collaboration, continuous learning, and meaningful work.
• 401(k) with company match and employee stock purchase plan.
• Paid vacation, volunteering time, parental leave, and family-building benefits.
• Twenty-eight-day sabbatical after every five years of service for eligible positions.
• Tuition reimbursement and medical, dental, and vision insurance.