Sr. Analyst, Business Analytics

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.