Business Intelligence Analyst, Product Analytics

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About the Role

We are looking for a Business Intelligence Analyst to join our Business Intelligence (BI) team within the Product Analytics function. In this role, you will provide data, analysis, and strategic insights to support both internal and external stakeholders, helping drive key decisions and business growth. Success in this role requires a strong foundation in hands-on data analysis, the product development cycle, marketing functions, documentation, and data operations support. You will collaborate closely with other members of the Product Analytics team, as well as Marketing, Product, and Engineering, to deliver impactful business outcomes.

At Engine by Moneylion, data is at the heart of our decision-making. The work of our analysts has a far-reaching impact across the organization, influencing departments, executive leadership, client strategies, public relations efforts, parent company initiatives and most importantly the consumers who use MoneyLion daily. If you're passionate about using data to drive meaningful change, this is an opportunity to make a real impact.

Key Responsibilities

• Use SQL, Excel and Looker (our internal BI tool) to produce analyses around company and customer performance.
• Take initiative in identifying and rectifying data discrepancies across systems, guaranteeing the precision and consensus across reporting platforms.
• Builds out a model for remarketing in dbt/looker that is flexible and performant. 
• Crafts and maintains weekly and monthly reports detailing critical performance metrics for remarketing initiatives. This includes selecting relevant metrics for each function, setting benchmarks/targets, and establishing consistent reporting routines.
• Own the development of one of our key data products, Demand Benchmark reporting, utilizing Tableau to help support the optimization of our marketplace. 
• Conduct AB testing. Synthesizes data findings, recommendations, and analytical methodologies into coherent presentations for the executive team, department heads, and leaders in product and sector areas.
• Actively track and evaluate the impact of new product releases and feature updates on key performance metrics, ensuring timely adjustments to reports and analyses to reflect changes in remarketing flows and campaigns.
• Own the product analytics of one of emerging verticals, from ingestion to reporting to internal consulting to drive outcomes. 
• Answer data requests and questions from all departments, including executives and senior leadership. 
• Organize, document and maintain our core company data definitions, metrics, and calculations, and ensure that they are accurately represented throughout the BI tools and documentation we produce.
• Understand the underlying data architecture supporting marketing and product and how to use it to report on business performance.
• Partner with product management and engineering teams to identify data capture needs and organize it in a digestible way for company consumption.

About You

• Highly preferred experience with; 
• Looker, Tableau, DBT and Segment.
• Marketing Analytics (attribution modeling, LTV, ROI and optimizing marketing campaigns) and willingness to learn about marketing analytics systems such as Iterable, and Kustomer. 
•  A/B testing and statistical analysis.
• Understands the tradeoff between perfection and execution. You