Staff Data Analyst
New
M
Mission LaneFintech
Remote, United StatesFull-TimeStaff
Salary145,000 - 155,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLBusiness IntelligenceMicrosoft Power BISnowflakeTableauData modelingdbtGenerative AI
Requirements
- 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.
- 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.
- Provided leadership and mentorship to analytics engineers and data analysts.
Responsibilities
- 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 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.
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