Senior Analyst of Business Analytics, Wisetack

• 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
• 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
• 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

Desirable

• 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 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
• 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