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Sr. Analyst, Business Analytics

Sr. Analyst, Business Analytics

WisetackSan Francisco, CA, United States
8 hours ago
Job type
  • Full-time
Job description

Since 2018, Wisetack has been building transparent and intuitive consumer lending products that help service-based businesses thrive (think HVAC companies, veterinarians, or auto repair shops).

Our leadership team comes from top fintech companies such as Lending Club, affirm, and varo money. And we’re backed by leading VCs, including insight partners, greylock, quadrille, and bain capital ventures (investors in airbnb, , instagram, dropbox, and more).

Having raised $84M, we’re a well-funded startup and have invested in people and technology while growing our partnerships — responsibly.

We’re also proud to have received recognition from the fintech world. Awards we’ve won include :

  • Ranked #21 on 2024 Inc. 5000 based on revenue growth
  • Ranked #15 on 2024 Deloitte Fast 500 based on revenue growth
  • 2024 Best Embedded Finance Solution for Banking Tech Awards
  • 2023 Best Consumer Lending Program by Tearsheet
  • 2023 Best Point of Sale Product by Fintech Breakthrough

But what you’ll find us gleaming about the most is the recognition from our own customers, particularly our sky-high NPS rating of 79. (For reference, the average score is 44 for financial services and 36 for SaaS companies.)

As a result of our efforts in building this healthy company culture, we’ve been nominated to several great places to work lists, such as best small workplaces, best workplaces in the bay area, and best workplaces in financial services & insurance.

Like any startup, we’re in it for the long haul, and we’re looking for people willing to join our journey of building something special together.

This process starts with our company values, which guide us in everything we do — and have played a critical role in our success. We valiantly abide by them, and would expect you to do the same :

Learn more about our values here.

The Role

As a Senior Analyst at Wisetack, you will play a pivotal role in shaping the future of our consumer lending product by developing data-driven solutions for key business functions, including growth, operations, and product. You will guide the direction of projects to ensure metrics across teams are consistent, reliable, accurate, and enable data-driven strategic and operational decision-making.

You possess deep technical expertise and business acumen to be able to connect the dots, deliver impactful insights, and identify scalable opportunities that align with our strategic goals. You work autonomously and take proactive ownership of problems, solving them with data-driven solutions.

Collaboration is key in this role. You will work closely with cross-functional teams to ensure solutions are seamlessly integrated into our products and workflows, directly contributing to our mission of building transparent, intuitive consumer lending products. Your ability to communicate complex and technical topics clearly and in an actionable manner will be crucial to your success.

In our fast-paced startup environment, we value quick thinking, hands-on contributions, and a strong sense of ownership. If you are passionate about leveraging data to lead the way in creating innovative financial solutions that make a positive impact, we want to hear from you.

Responsibilities

  • Work with business stakeholders to translate business problems into analytics solutions and insights (i.e. deep-dive research and analyses, self-service dashboards, predictive models).
  • Design and build metrics / dimensions to monitor product and business performance.
  • Communicate and present insights to stakeholders, including executive leadership, of varying degrees of technical expertise in concise, non-technical language.
  • Partner closely with data engineering, data science, and product to develop an integrated, scalable analytics ecosystem.
  • Use industry-standard data tooling for data ingestion, orchestration, transformation / modeling, visualization, and deployment of solutions.
  • Write clear and thorough documentation of your work, including your thought process, and identify future opportunities for improvement where applicable.
  • Requirements

  • 3 years of professional experience in business analytics, business intelligence, decision science, or a related field; 2 Years of professional experience with an MBA.
  • Bachelor’s degree in a quantitative field (e.g. Economics, Engineering, Mathematics)
  • Experience working with cross-functional teams and building relationships across departments.
  • Proficiency in data analysis tools and statistical computing programs (e.g. SQL and Python or R).
  • Proficiency with data visualization tools (e.g. Tableau).
  • Knowledge of data ingestion, orchestration, and ETL processes and tools (e.g. Airbyte, Dagster, dbt).
  • Strong project management, problem-solving, and communication skills.
  • Bonus Points

  • FinTech experience, particularly within embedded finance and consumer lending
  • Conclusion

    The range of base salary for the position is between $100,000-$140,000, plus equity and benefits. Please note that the base salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level and competencies.

    Spend a little time on our About Us page and check out our Press page and our blog for more. If you think this might be a fit, we’d love to hear from you!

    This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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