Growth Analyst | Remote  

The Revenue Team plays a critical role at MoneyGeek - we are responsible for daily optimization of our user funnel from traffic to user actions to revenue, client campaign management and pacing / performance optimizations, A/B testing, directing the build-out of our new monetization platform, competitive analysis across the media ecosystem, and anything else that will drive revenue growth.

If you like a fast-paced environment, a steady stream of fresh and varied challenges, the thrill of being an early member on a growing team, and the impact of your work being highly visible to company leadership, then this job is for you!

As a key member of this team, you will:

• Partner with the Head of Revenue to drive daily progress on initiatives with the biggest revenue impact
• Provide thought leadership and execution on campaign optimizations that will drive revenue growth
• Assess the drivers of shifts in revenue and traffic, develop action plans to amplify and extend the increases and reverse the declines, and follow through on implementation
• Execute on projects rapidly, communicate clearly and often, and create innovative and scalable solutions that will unlock the next level of growth for MoneyGeek
• Define business-driving reporting needs for a variety of ad platform and media ecosystem datasets and tools
• Analyze results and impact of CRO-focused tests, partner with testing team on implementation of winning tests, and validate post-test results
• Provide requirements for and validate the successful implementation of integrations with client partner reporting systems
• Manage multiple competing priorities with aggressive timelines and often-imperfect data; this won’t stop you from getting the job done

Minimum Qualifications:

(These are requirements)

• Strong interpersonal skills, with a track record of working well with business stakeholders
• Demonstrated experience in marketing channel optimization, customer behavior / journey modeling and prediction, yield optimization, and A/B testing
• Working knowledge of marketing, web, and advertising technologies like Google Analytics, Optimizely, Iterable, Google Tag Manager, etc.
• 3+ years of professional industry experience doing quantitative analysis; a strong preference for candidates with experience in the SEO / SEM space
• Proficient at collecting and mining data from disparate data sources, and willing to dig deeper and understand the process that creates the data
• Strong ability to synthesize data into actionable insights that will impact the business and communicate recommendations to an executive team
• Must be able to independently understand business context, effective trade-offs between incremental effort and outcomes, and competing deadlines that will drive the most value
• Excellent written and verbal communication skills, particularly when there is ambiguity involved
• Must be comfortable with unstructured, fast-moving, and constantly evolving high-growth environment
• Detail-oriented with the ability to prioritize, execute, and deliver projects on time
• Familiarity with US business models
• Must be able to work at least 6 hours per day Monday through Friday between the hours of 8am and 5pm US Pacific time

Preferred Qualifications:

(These will help you stand out from the crowd)

• Bachelor’s degree in a quantitative field (e.g. Data Science, Statistics, Math, Economics)
• Proficient in at least one programming language for data analysis
• Hands-on experience with SQL
• Demonstrated experience in statistical modeling methods with a focus on application to digital media, performance marketing, or advertising
• Experience in the insurance, credit card, or mortgage / loans industries
• Ability to autonomously identify opportunities for revenue growth without being directed
• Track record of initiating and driving projects to completion with minimal guidance
• Advanced proficiency in visualization tools such as Power BI or Data Studio