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Director of Analytics

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Before you apply
SalaryNo pay range posted
LocationLos Angeles Office
Work modehybrid
Typefull-time
SeniorityDirector
Experience7+ yrs
DepartmentData
Company size5+ people
PostedAug 27, 2026 · 2mo ago
Verified live3d ago
California law requires most employers to post a pay range.
May no longer be actively hiring
Posted by the company on Aug 27, 202660% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
7+ years in analytics, BI, or data science, with a proven track record of leading teams and analytics initiatives
Ability to bridge the gap between technical data work and non-technical stakeholders
Advanced SQL and Python proficiency
Strong experience with modern data modeling (dbt) and BI platforms (Looker)
Practical experience applying generative AI or LLMs within a BI or data context
Strong project management skills with the ability to balance long-term strategic projects against fast-paced, high-priority ad hoc analyses
Bachelor’s degree in a quantitative field (CS, Math, Economics, Statistics, Master’s degree is a plus) or equivalent professional experience
Experience in fintech, a high-growth startup, or a highly regulated industry is preferred
Skills
SQL
Python
dbt
Looker
AI
LLM
Benefits
Remote work
Unlimited PTO
Health insurance
401(k)
About SoLo Funds
SoLo Funds is a full-stack, AI-powered community banking platform, empowering financial autonomy for underserved communities. Launched in 2018 as an on-demand marketplace, SoLo enables its members to request and fund emergency loans, without predatory interest rates. We are VC-backed, supported by Techstars, and have strategic partnerships with Visa and Kiva.
About the Role
As the Director of Analytics, you will lead our analytics strategy, ensuring data is transformed into clear, actionable insights that drive business decisions across every department. You will own the full analytics lifecycle—from defining metrics and building scalable reporting infrastructure to championing AI-powered data accessibility. This role combines strategic leadership with hands-on technical expertise, requiring you to partner with cross-functional stakeholders while mentoring a high-performing analytics team.
Key Responsibilities
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Analytics Leadership: Partner with Product, Engineering, Growth, Finance, and Operations to translate complex business questions into actionable analytics. Present business narratives and recommendations to senior leadership.
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Strategy & Roadmap: Define and execute the company’s analytics strategy, ensuring data initiatives directly support business goals and executive decision-making.
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Infrastructure & Governance: Oversee the semantic layer and scalable data models (SQL, dbt, Looker) to ensure data accuracy, consistency, and trusted, self-service reporting across the organization.
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AI Innovation: Lead the implementation of modern AI-powered analytics tools (e.g., conversational analytics, LLMs) to streamline reporting, improve data accessibility, and accelerate time-to-insight.
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Team Development: Manage, mentor, and scale the analytics team, providing technical guidance, prioritization, and professional development.
What You Bring
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Experience: 7+ years in analytics, BI, or data science, with a proven track record of leading teams and analytics initiatives.
•
Excellent Communicator: Ability to bridge the gap between technical data work and non-technical stakeholders, influencing strategy through data-driven storytelling.
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Technical Stack: Advanced SQL and Python proficiency; strong experience with modern data modeling (dbt) and BI platforms (Looker).
•
AI/LLM Application: Practical experience applying generative AI or LLMs within a BI or data context to solve real-world business problems.
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Environment: Experience in fintech, a high-growth startup, or a highly regulated industry is preferred.
•
Operational Excellence: Strong project management skills with the ability to balance long-term strategic projects against fast-paced, high-priority ad hoc analyses.
•
Education: Bachelor’s degree in a quantitative field (CS, Math, Economics, Statistics, Master’s degree is a plus) or equivalent professional experience.
Our Benefits:
•
Remote Workplace
•
Unlimited Vacation Policy
•
Full Healthcare Benefits
•
401K Offered