126 applicants

Company

onXmaps, Inc. · 1 day ago

Senior Pricing & Packaging Analyst

Bozeman, MT

Full-time

Remote

Mid, Senior Level

$105K/yr - $130K/yr

5+ years exp

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Responsibilities

Act as the central point of contact for all pricing-related experimentation. This person will be deeply involved in experiment design and analysis to help optimize our pricing strategy.

Lead the creation and iteration of pricing and packaging strategies, utilizing quantitative and qualitative research methodologies to align with customer needs and maximize revenue.

Pilot insightful pricing analytical efforts to uncover opportunities to improve profit in the short and long term.

Design and execute A/B tests to evaluate the impact of pricing changes on customer acquisition and retention.

Develop financial impact models, conduct scenario simulations, and evaluate pricing sensitivities in partnership with the finance team. Use methods like conjoint analysis, Gabor-Granger, and Van Westendorp price sensitivity measurement to support decision-making.

Analyze data on pricing performance, including metrics like customer acquisition, churn, and lifetime value, to inform pricing adjustments.

Work closely with sales, marketing, and product teams to align pricing strategies with broader business goals.

Be a leading influencer in evolving the organization to value-based pricing.

Provide other non-pricing related support for the Finance and Accounting team.

Conduct and manage comprehensive market research, including consumer segmentation, competitive benchmarking, and conjoint analysis to derive optimal pricing and packaging structures.

Create and maintain pricing models to evaluate the financial impact of pricing changes or new pricing strategies.

Establish guidelines for discounts, promotions, and special pricing to ensure profitability and market competitiveness.

Gather and analyze customer feedback to adjust pricing models in response to customer expectations and satisfaction levels.

Generate regular reports for stakeholders on pricing performance, trends, and recommendations for future pricing strategies.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Financial AnalyticsPricing ModelsData AnalysisA/B TestingTableauSQLPythonFinancial ModelingConjoint AnalysisStatistical ModelingMarket ResearchCustomer SegmentationStatistical KnowledgeGitHubRETL SolutionsProject Management

Required

5+ years of experience in financial analytics, with hands-on experience in forecasting, pricing models & strategy, recurring revenue, and subscription businesses.

Bachelor’s degree in Finance, Accounting, Data Science, Business, or related field.

Familiarity with subscription-based business models, pricing structures, and customer lifecycle metrics.

Proficiency in analytics tools such as Tableau, Excel, SQL, Python, or similar.

Experience with A/B testing platforms and statistical modeling.

Knowledge of financial modeling, revenue forecasting, subscriptions, packaging, and pricing strategy development.

Strong quantitative and analytical skills to translate complex data, identify trends, and make data-driven recommendations.

Experience with conjoint analysis, Gabor-Granger, Van Westendorp, and segmentation techniques.

Strong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders.

Ability to conduct market research, competitor analysis, and customer segmentation.

Accuracy in pricing calculations, data handling, and maintaining detailed pricing documentation.

Organizational skills to manage projects, collaborate with cross-functional teams, and meet deadlines.

Ability to adapt to changes in pricing strategy or business needs in a fast-paced tech environment.

Understanding of statistical techniques for A/B testing, regression analysis, and forecasting.

Ability to identify and solve pricing-related challenges creatively and effectively.

Permanent US work authorization is a condition of employment with onX.

Preferred

Working knowledge and high proficiency with reporting and analysis tools such as Looker, BigQuery and Tableau.

Working knowledge of GitHub and version control best practices.

Working knowledge of statistical programming packages, such as R or Python, or other programming experience.

Experience working in subscription analysis, including customer acquisition, retention, churn and lifetime value analysis.

Understanding of Extract, Transform, and Load (ETL) solutions and processes to centralize and standardize data coming from one or more source systems.