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Senior Analytics Engineer

extra holidays - extra parental leave

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor’s degree, minimum 3 years experience, Expertise in data technologies like Databricks, Proficiency in SQL, Python, R, Experience with data visualization tools.

Key responsabilities:

Perform in-depth data analysis
Collaborate on product development and improvement
Plan and analyze A/B tests
Create reports and dashboards

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.

The Sr. Analytics Engineer will be implementing new data integrations, semantic layer modeling and implementation. They will help with reduction of system efficiencies and help with initiatives on platform and data governance. With their efforts, the data and analytics platform will continue to grow in visibility and usage with expanded reach and self-servicing. The Sr. Analytics Engineer is needed to create a cost effective platform structure, stability and performance at scale.

RESPONSIBILITIES

Data Analysis: Perform in-depth data analysis to identify trends, opportunities, and areas for improvement related to Oportun's financial products.
Market Research: Stay updated on industry trends and customer needs, providing insights and recommendations for product enhancements.
Product Development: Collaborate with product managers, engineers, and designers to contribute to the development and improvement of financial products.
A/B Testing: Plan, execute, and analyze A/B tests to evaluate the performance of product changes and optimize features.
Customer Insights: Leverage customer feedback, surveys, and research to understand user behavior, preferences, and pain points.
Reporting: Create and maintain detailed reports and dashboards to track product performance and KPIs. The work spans both structured roadmap tasks on data analytics from a variety of business and product team stakeholders, as well as ad-hoc tasks for data analytics.
Competitive Analysis: Analyze competitors' products and strategies to identify opportunities for Oportun's product differentiation.
Cross-Functional Collaboration: Work closely with various teams, including marketing, compliance, and operations, to align product strategies with business goals. They are expected to understand the end-to-end business flows along with the data mapping at various steps of the work, to help various stakeholders with analytics of various metrics from diverse data sources.
Documentation: Document findings, insights, and recommendations for product enhancements and communicate them effectively to stakeholders. They will help create templates for analytics tasks and automate repetitive tasks.

REQUIREMENTS

Bachelor’s degree and a minimum of 3 years of related experience; or an advanced degree with relevant internships.
·The Sr. Analytics Engineer will have the expertise to work with data technologies like Databricks, Alation, Microsoft Excel, and various data sources like MariaDB, AWS Redshift, etc. to deliver on their work responsibilities. Proficiency in data analysis tools and languages e.g., SQL, Python, R; and data visualization tools e.g., Tableau, Domo, Power BI.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information, with the ability to identify and address system issues and data discrepancies.
Ability to work independently and manage multiple projects simultaneously.
Strong communication and interpersonal skills to effectively collaborate with stakeholders at all levels.
Detail-oriented and highly organized with a focus on delivering results.
Strong customer service orientation, with the ability to provide timely and effective support to system users.
Good working proficiency with data technologies like Databricks / Snowflake / any large-scale data lake.
Good working proficiency with dashboarding tools like Domo / Power BI or equivalent.
Knowledge of data governance tools like Alation / DBT
Should have advanced knowledge and experience with Microsoft Excel.

#LI-REMOTE

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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).