Business Intelligence Analyst

onX • Missoula, MT

22h • Remote

About The Position

onX is seeking a Business Intelligence Analyst with a passion for marketing analytics and a strong ability to translate data into actionable insights. In this role, you will support marketing measurement efforts by analyzing performance, identifying trends, and helping stakeholders make informed decisions. You will work closely with marketing, product, and analytics partners to deliver high-quality reporting and analysis. This role is expected to operate independently on defined workstreams, contribute to team priorities, and help improve how data is used across the organization. The ideal candidate is comfortable working with data, curious about uncovering insights, and motivated to improve business outcomes through analysis. They should be able to navigate ambiguity within their scope, communicate clearly with stakeholders, and deliver reliable, high-quality outputs. This person will report to the Business Intelligence Manager.

Requirements

• 3–5 years in marketing analytics, business intelligence, or related field
• Demonstrated ability to deliver insights that support business decisions
• Experience working with stakeholders to answer business questions using data
• Bachelor’s degree in Marketing, Statistics, Data Science, Business, or related field
• Ability to travel bi-annually for multiple days to a corporate office or other onX strategic location, such as a Basecamp.

Nice To Haves

• Proficiency in analytics tools such as Tableau, Excel, SQL, Python, or similar.
• Experience with A/B testing platforms and statistical modeling is a must.
• Strong quantitative and analytical skills to translate complex data, identify trends, and make data-driven recommendations.
• Strong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Enthusiastic collaborator with Finance, Product Management, and Executive teams
• Experience working with multiple types of marketing data, such as MMP and SKAd Attribution data and models, GA4, Offline/Endemic Marketing Tactics, Market Research and Sentiment, and other organic and non-organic marketing data.
• Relevant experience building and leveraging marketing frameworks for decision making.
• Advanced organizational skills with the ability to manage large, complex projects and prioritize competing demands.
• Understanding of statistical techniques for A/B testing, incrementally testing, regression analysis, and forecasting.

Responsibilities

• Support the development and application of marketing measurement frameworks (e.g., attribution, incrementality testing) through analysis and execution
• Partner across marketing functions (e.g., brand, growth, lifecycle) to understand campaign objectives, tactics, and measurement needs
• Contribute insights that help evaluate marketing effectiveness across channels
• Partner with senior analysts to refine approaches and improve measurement over time
• Partner with brand and digital acquisition teams to support analysis that informs day-to-day decision-making, rather than owning channel performance directly
• Apply a strong understanding of top-of-funnel metrics (e.g., impressions, reach, CTR, CAC, conversion rates) to help stakeholders interpret performance and make informed trade-offs
• Translate business questions from marketing partners into structured analyses, helping clarify what is happening and why
• Provide insights on audience behavior, channel dynamics, and funnel progression, enabling marketers to optimize campaigns and investments
• Connect top-of-funnel activity to downstream outcomes (e.g., activation, engagement, conversion), helping teams understand impact without owning execution
• Support testing and learning efforts by helping design analysis, interpret results, and communicate clear takeaways to stakeholders
• Navigate ambiguous problem spaces by asking the right questions, defining scope, and proposing a clear analytical approach
• Communicate findings clearly to stakeholders, adapting level of detail to the audience
• Share learnings, document work, and contribute to improving team processes and outputs
• Proactively identify trends or opportunities in marketing performance and bring forward insights that inform stakeholder decisions
• Ensure accuracy and reliability of data used in analysis, validating assumptions and investigating discrepancies when they arise
• Develop a strong understanding of underlying data sources and definitions to ensure consistency in reporting and insights
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

Benefits

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees