Staff Data Analyst

About the Role

Mission Lane is seeking a Staff Data Analyst to drive our push toward best in class data usage via analytical engineering, business intelligence and data analysis. This role is critical in our mission to empower our customers through the development and delivery of advanced, enterprise-wide data solutions and products. You will act as a strategic consultant to cross-functional stakeholders, accelerate complex data initiatives to completion, and champion a robust, automated data architecture that scales to support our long term goals.

Our core tech stack includes: Snowflake / dbt / Tableau / Monte Carlo / Airflow / Github

The impact you will make:

• Architect and maintain high-fidelity, scalable data models that serve as the foundational truth for both enterprise business intelligence and GenAI applications.
• Partner with data engineering, product and business partner teams to define, design, analyze, and report on key drivers that impact performance across the organization.
• Identify and communicate the business relevance of data from across the organization, leveraging analytical rigor to establish reliable sources of truth and ensure that business context is accurately captured across all data products.
• Partner with the larger Data organization to design easy-to-use, end-to-end enterprise data systems that keep Mission Lane at the forefront of data-based decision-making.
• Own the development of self-serve analytics and strategic data products that look beyond the immediate stakeholder requests to proactively reduce manual effort, mitigate technical debt, and accelerate speed to insight.
• Define and champion technical standards for analytics engineering to elevate the quality, reliability, and impact of work produced by the broader analytics team.

You will thrive in this role if you have:

• 5+ years of data analytics experience in roles focused on leveraging data to drive strategic decision making.
• Expert level SQL and Snowflake skills in architecting and optimizing complex transformations of large datasets.
• Experience using dbt to develop and orchestrate analytical data models following best practices.
• Experience implementing data management best practices to build scalable data products and self-service data solutions, including traditional BI tools (Tableau, Power BI, etc.) and custom applications (like Streamlit).
• Hands-on experience utilizing Generative AI to streamline and automate business and data delivery processes.
• Experience designing and implementing strategies that enable comprehensive and scalable data integrity monitoring across multiple domains.
• Worked directly and effectively with business leaders to define and influence how data can strategically enable their goals.
• The ability to independently manage projects across multiple stakeholders, prioritize vigilantly, and proactively identify, communicate, and mitigate roadblocks.
• A proactive growth mindset characterized by curiosity and a commitment to continuous improvement and professional development.
• Provided leadership and mentorship to analytics engineers and data analysts, effectively up-skilling the team on core competencies and technologies.

You get bonus points for:

• Previous experiences with financial services and/or credit bureau data.
• Experience implementing data strategy.