Lead Analyst - Product Analytics

Lead Analyst - Product Analytics

Credit Sesame is a hyper growth company in the exploding FinTech industry. We are creating a whole new market category in financial services that sits at the intersection of a credit market place and credit builder digital banking services with the clear purpose to make financial inclusion and wellness a reality for everyone. 

We are looking for a seasoned analytics expert who can help unleash the full power of data and analytics to drive the business  and support the growth of the Analytics team. This role provides a unique opportunity to both solve our company’s most interesting problems and develop new product, customer and business strategies.

This is an Individual Contributor role and the exact title could vary based on experience.

You'll...

    • provide end-to-end analytic services to partners from Product as well as CRM, Business Development, Engineering, Finance and more;
    • own and support all analytic needs of your stakeholders and business functions;
    • manage stakeholder relationships;
    • maintain a strong partner mindset, anticipate needs and proactively propose solutions;
    • unleash full power of data and analytics to gain deep understanding of our products, their features and their usage across various customer segments, cohorts, personas, and channels such as web, mobile web and app;
    • define key business metrics and KPIs to analyze customer journey on our products and monitor the health across the funnels on Web and App;
    • drive product adoption at each touchpoint in the customer journey;
    • drive optimizations of products and features in Web and App based on analytic insights; identify areas of opportunity for new products and features and improving customer engagement and experience;
    • design, build and maintain business metrics, reports and dashboards;
    • carry out complex data analyses using a variety of tools and techniques in order to answer business questions, analyze emerging trends, connect cause and effect, solve problems and identify opportunities; enable data-driven decision making, automate and scale insight generation, and achieve business growth;
    • pull, interpret, clean, validate and integrate data. Design, build and maintain source-of-truth datasets by stitching together data from multiple sources;
    • ensure data quality, consistency and reliability;
    • translate business requirements into analytic tasks, execute those tasks and re-translate analytic solutions into business decisions and outcomes;
    • synthesize findings clearly and concisely and make thoughtful recommendations to partners by combining business savvy and analytic rigor;
    • validate business hypotheses with data. Size and quantify potential impact of business opportunities to help set up features, campaigns, experiments and interventions;
    • partner with Product teams to size, estimate and validate customer outcomes for proposed product features;
    • design, measure and analyze business experiments across the product ecosystem;
    • draw inferences and learnings from past experiments and campaigns, uncover insights and make recommendations for future iterations;
    • automate the process to iterate and scale while ensuring quality, consistency and speed;
    • create automated analytic capabilities.

You're a great fit for our team because...

    • you have experience with leading a product analytics function at a digital-native business e.g. e-commerce, B2C SaaS, fintech; experience with tools like Mixpanel, Optimizely, Braze, Recurly is a big plus;
    • experience with B2B or B2C SaaS/Subscription products is a plus;
    • you have a bachelor’s degree or higher in a quantitative discipline;
    • you have technical expertise in business analytics, statistics, econometrics or data science;
    • you have experience managing customer life cycle, defining, measuring and optimizing KPIs for revenue, retention, engagement, LTV;
    • you're a master of SQL. Ability to write complex queries and deliver production-grade code with necessary optimizations;
    • you have experience with large datasets and Big Data ecosystem, preferably AWS, and production systems like Git, Airflow etc;
    • you're able to design and build complex reports and dashboards. Expert proficiency in at least one visualization tool e.g. Looker, Tableau, PowerBI;
    • you have  good knowledge of statistical analysis, especially hypothesis testing, experiment design, measurement and optimization, A/B and multivariate testing, you have basic scripting skills with Python. Advanced programming in Python is desirable (experience with R and the willingness to move to Python works too);
    • you have experience with Data Engineering processes, ETL, data flows, analytics automation and best practices;
    • you have strong communication and presentation skills with the ability to convert analytic solutions into business insights and recommendations;
    • you're comfortable with being process-driven like an engineer and purpose-driven like a business manager;
    • you have an ability to juggle multiple tasks in a  fast-paced environment with firm deadlines;
    • you have an ability to work in a cross-functional team and manage multiple stakeholders;
    • you have an ability to balance short-term, medium-term and long-term objectives and successfully deliver on all fronts;
    • you desire to work, excel and grow in a diverse, challenging and highly collaborative ecosystem.

You'll love it here because...

    • you‘ll have huge potential to grow with a company that’s a category leader;
    • you’ll have equity in a pre-IPO company backed by top VCs;
    • we offer comprehensive medical, dental, and vision insurance with many plan options;
    • we offer monthly fitness, phone and internet reimbursement;
    • you can fuel up at our stocked kitchens with endless snacks and drinks;
    • we prize EQ and empathy, and have a culture that emphasizes total wellness, including work-life harmony.
Office Location

We are open to hiring remotely for this role. You could also work out of our Toronto, San Francisco or our Mountain View office—you decide!

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.



We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

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