Senior Analyst, Business Analytics

Wisetack Logo

Wisetack

πŸ’΅ $100k-$140k
πŸ“Remote - United States

Summary

Join Wisetack, a leading fintech company, as a Senior Analyst and play a pivotal role in shaping the future of our consumer lending product. You will develop data-driven solutions for key business functions, including growth, operations, and product, ensuring metrics are consistent and reliable. Leveraging your deep technical expertise and business acumen, you will deliver impactful insights and identify scalable opportunities. Collaborate closely with cross-functional teams to seamlessly integrate solutions into our products and workflows. In this 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 create innovative financial solutions, we encourage you to apply.

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

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

Preferred Qualifications

FinTech experience, particularly within embedded finance and consumer lending

Benefits

Equity

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.