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Senior Director, Product Analytics

extra holidays - extra parental leave

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

Over 15 years of experience in data analysis, Extensive experience with SQL and analytics tools, Proficient in Python, R, Tableau, and Power BI, Strong analytical skills and statistical knowledge.

Key responsabilities:

Define analytics vision and strategy
Partner with teams to align analytics with goals
Build and mentor analytics team
Develop and track KPIs for financial products
Conduct A/B testing and improvement initiatives
Translate data findings into business recommendations

Oportun Financial Services Large https://www.oportun.com

1001 - 5000 Employees

See all jobs

Job description

ABOUT OPORTUN

Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009.

WORKING AT OPORTUN

Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups.

POSITION SUMMARY

_{We are looking for a passionate, curious and creative problem solver to be a Senior Director, Product Analytics. Your role will be focused on democratizing product insights and using data to drive product strategy. If you're passionate about making a meaningful difference in people's lives in partnership with a smart, driven and fun-loving team, we're excited to meet you.}

RESPONSIBILITIES

Define the analytics vision and strategy for financial products.
Partner with product managers, engineering, risk, marketing, and finance teams to align analytics with business goals.
Build and mentor a high-performing analytics team.
Develop and track key performance indicators (KPIs) for financial products (e.g., adoption rates, churn, revenue growth, conversion rates).
Conduct A/B testing and experimentation to improve product features and financial services.
Partner with data engineering to enhance data pipelines, dashboards, and infrastructure and ensuring data quality, governance, and consistency across datasets.
Translate complex data findings into business recommendations and influence strategic decisions by providing data-backed narratives.
Present actionable insights to senior executives and stakeholders.
Document findings, insights, and recommendations for product enhancements and communicate them effectively to stakeholders.

QUALIFICATIONS

Experience: Over 15+ years of experience in data analysis and related roles.
Technical Expertise: Extensive hands-on experience with SQL, data visualization, and analytical tools.
Proficiency: Skilled in data analysis tools and programming languages, including SQL, Python, and R, as well as data visualization platforms such as Tableau, Domo, and Power BI.
Analytical Skills: Expertise in developing quantitative analyses, data-driven decision frameworks, cash flow and NPV modeling, ad-hoc reporting, and segmentation models. Adept at extracting meaningful insights from raw data to influence product decisions and strategic direction.
Communication & Collaboration: Strong communication and collaboration skills with the ability to present insights effectively to executive leadership.
Work Ethic: A self-starter with an ownership mindset, eager to thrive in fast-paced, startup environments.
Statistical Knowledge: Solid understanding of statistical principles, including statistical significance and hypothesis testing.

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We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate.

California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/.

We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3).