About Figure 

Figure is transforming the trillion dollar financial services industry using blockchain technology. 

In three short years, Figure has unveiled a series of fintech firsts using the Provenance blockchain for loan origination, equity management, private fund services, banking and payments sectors - bringing speed, efficiency and savings to both consumers and institutions. Today, Figure is one of less than a thousand companies considered a unicorn, globally.

Our mission requires us to have a creative, team-oriented, and supportive environment where everyone can do their absolute best. The team is composed of driven, innovative, collaborative, and curious people who love architecting ground-breaking technologies. We value individuals who bring an entrepreneurial mindset to every task and will embrace our culture of innovation. 

Every day at Figure is a journey in continuous learning along with a focus on getting work done that makes a difference. Join a team of proven leaders who have already created billions of dollars in value in the FinTech space!

Forbes America’s Best Startup Employers

Forbes Top 50 Blockchain Companies

Figure Series D Announcement

About the Role

The Director Data Analytics - Marketing Focus is a key team leader primarily supporting the Marketing and Data Science departments with analytics that enable quality, data-driven decisions. You will use advanced data modeling, predictive modeling, and analytical techniques to interpret key findings from company data.  But we also don’t shy away from digging deep into the data with SQL and visualizations – if that is what is needed to solve a problem.  We are looking for a driven, data-loving, team player that will jump in and thrive in a fast-paced startup environment.

However, we aren’t just here to give good, well-researched answers – we also make sure the business is asking the right questions as well – and ensure these questions that can be adequately answered with the data we have available.  At times, this means seeking out new data sources to enable better understanding.

What you'll do

• Own the surfacing of insights that will optimize and drive our prospecting and prospecting spend for Figure. This will include working in very close collaboration with our Marketing and Data Science teams to assess various spend and modeling strategies to derive the best ROI for Figure. 
• Use analytical concepts and statistical techniques to develop hypothesis, design and test experiments, analyze data, draw conclusions and develop (and present) actionable recommendations for your business partners
• Use both descriptive and predictive modeling to increase and optimize customer experiences, revenue generation, underwriting as well as other business outcomes.
• Be a champion for data accuracy and consistent reporting.
• Develop Tableau visualizations that drive and optimize business outcomes, knowing that a picture really can be worth 1000 words (or numbers) and painstakingly craft data visualizations for both improved understanding and communication
• Use your deep understanding of how our business processes operate – and the challenges and opportunities therein – to derive the datasets and metrics needed and then communicate those requirements clearly to our analytics engineers so they can build them
• Partner with our advertising agencies on metrics and attribution methodology
• Design quasi-experiments and custom attribution methodologies for offline media where strict A/B test are not always possible
• Work with partners that utilize our API to devise quantitative methods to optimize our filtering criteria and presentation of offers with the target of maximizing KPIs
• Partner with our Data Science team to assess and track model performance, helping to craft hypotheses to test and iterate our sophisticated machine learning models.
• Analyze performance of campaigns on a variety of media sources (linear and connected tv, terrestrial and satellite radio, billboards, and digital)
• We anticipate scaling up this function rapidly, so you will be expected to quickly assess your team’s needs – present and future – and take ownership of crafting job descriptions and interviewing candidates

What we're looking for

• Expert ability to engage with Marketing partners, get them to ask the right questions, and willingness to present your findings directly    
• 6+ years of professional experience manipulating and extracting value from large, complex marketing datasets… all while making insights easy to consume for a general audience.
• You have solved multiple complex business problems through the use of data and have communicated your findings to executives on a regular basis. There is a heavy emphasis on cross-functional work and you must be able to deal with ambiguity and rapidly shifting priorities.
• Appreciation for the value of statistical thinking to help bring clarity around areas like causation, selection biases, and experimental design
• You enjoy and appreciate the “sleuthing” aspect of digging in and figuring out exactly why a metric is behaving strangely (or not moving at all)
• Solid SQL Skills - while you don’t need to be an expert on all the intricacies of advanced SQL like stored procedures and recursive queries, you do need to be able to pull your own data from well-formed, cohesive, and clean tables provided by our analytics engineers
• Expertise in time-series analysis to separate marketing effects from seasonality and overall trends
• You know the difference between Marketing Mix Modeling and Multi-Touch Attribution and the strengths and weaknesses of each
• You have the ability to move beyond last-click attribution to better reflect the “real world” where media sources assist each other in guiding the customer through our funnels
• Proven leadership abilities to clearly define and communicate a strong vision for your team and the skills to coordinate and ensure successful execution

Bonus Points

• Fintech and/or Adtech experience
• Hungry to learn and grow, especially from mistakes (we all make them)!
• Unsolved puzzles irk you.