Senior Business Intelligence Analyst

Summary

Join onX as a Senior Business Intelligence Analyst and play a pivotal role in shaping our marketing analytics strategy. You will lead cross-functional initiatives, influence executive decisions, and develop analytic insights to prioritize resources. This role requires expertise in marketing measurement frameworks, data analytics, and campaign performance evaluation. You will also develop customer segmentation strategies and manage multiple marketing analytics projects. The ideal candidate possesses strong analytical, communication, and project management skills, along with experience in various analytics tools. This position offers competitive compensation, comprehensive benefits, and opportunities for growth within a dynamic and supportive team.

Requirements

• 8+ years of experience in marketing analytics, with significant experience leading strategic initiatives and teams
• Demonstrated success in driving measurable business outcomes through advanced analytics methodologies, including attribution modeling, MMM, and incrementality testing
• Bachelor’s degree in Marketing, Statistics, Data Science, Business, or a related field
• Familiarity with marketing measurement frameworks for both endemic and non-endemic marketing
• 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 Operation 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
• Advanced organizational skills with the ability to manage large, complex projects and prioritize competing demands
• Understanding of statistical techniques for A/B testing, incrementality testing, regression analysis, and forecasting

Responsibilities

• Partner in piloting marketing measurement frameworks using advanced methodologies such as incrementality testing, MMM, and attribution models
• Assess and advise on marketing effectiveness by leveraging the multi-tiered framework for balanced perspective
• Analyze and interpret marketing data to identify trends, patterns, and actionable insights
• Develop and maintain marketing dashboards and performance reports, ensuring data accuracy and timely delivery
• Track key performance indicators (KPIs) across marketing channels, including digital, email, social media, and content
• Collaborate with marketing teams to evaluate the performance of campaigns, identifying what drives success and areas for improvement
• Use A/B testing, segmentation, and other data-driven methods to optimize marketing efforts and improve future campaign performances
• Provide insights on audience engagement, funnel conversion, and ROI to support decision-making
• Develop and implement customer segmentation strategies based on data to support targeted marketing efforts
• Analyze customer behavior and feedback to improve customer journey, satisfaction, and loyalty
• Work with product and vertical teams to ensure alignment on customer insights
• Develop frameworks to measure brand awareness, sentiment, and perception in both qualitative and quantitative terms, tracking shifts in brand equity over time and working with the team to inform long-term brand strategy
• Manage multiple marketing analytics projects, ensuring deadlines and quality standards are met
• Coordinate with stakeholders to gather requirements, set goals, and communicate progress and outcomes
• Collaborate with our data engineering team to plan, build, and develop marketing data sets that solves business needs and analytics needs
• Shape and lead the marketing measurement strategy across the organization, incorporating frameworks such as incrementality testing, MMM, and multi-touch attribution models
• Serve as a strategic advisor to senior leadership, presenting insights and recommendations that guide high-level decision-making and resource allocation
• Act as a champion for data-driven decision-making, advocating for investments in tools, talent, and processes to strengthen analytics capabilities
• Collaborate closely with Executive, Product, and Marketing leadership to align data initiatives with company objectives and growth strategies

Preferred Qualifications

A Master’s degree or additional certifications in analytics tools

Benefits

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan
• Parental leave plan of 5 or 13 weeks fully paid
• 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 in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays