This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Analyst. In this pivotal role, you will oversee the Sigma BI platform, ensuring that data drives critical business decisions. This opportunity demands a proactive individual capable of transforming complex requirements into impactful reporting solutions for stakeholders, guiding internal adoption of data tools, and maintaining data integrity across platforms. You’ll contribute significantly to the efficiency and transparency of the organization’s data operations, enabling sustainable growth and aligning with our mission of community-centric lending solutions.
Accountabilities
- Administer and develop the Sigma BI platform across the organization
- Partner with stakeholders to understand reporting needs and translate them into scalable dashboard solutions
- Plan and prioritize the reporting roadmap in collaboration with the Director of Analytics
- Drive internal adoption; communicate platform capabilities, train users, and market BI as a resource
- Ensure consistent KPI definitions, data accuracy, and documentation across all reporting
- Own and maintain PDF-based lender reports including reconciliation, performance, and compliance call reports
- Support the long-term buildout of embedded lender reporting within the Sigma platform
- Collaborate with external partners and lenders on reporting requirements and delivery
- Lead the migration of existing PowerBI and SSRS reports into Sigma
- Prioritize migration backlog in partnership with stakeholders and the analytics team
- Maintain documentation of migrated vs. outstanding reporting inventory
- Ramp on the Taktile decisioning platform through structured knowledge transfer
- Progressively own maintenance of existing flows and support new flow development
- Write and optimize complex SQL queries in Databricks to support reporting and analysis
- Collaborate on ETL improvements and data pipeline reliability
Requirements
- 4+ years of experience in data analytics, BI engineering, or a closely related field
- Demonstrated experience owning a BI platform or reporting suite end-to-end
- Advanced SQL expertise, particularly in Databricks or Snowflake
- Strong experience with BI tools such as Sigma, Looker, Tableau, or Power BI
- Proven ability to partner with business stakeholders translating needs into solutions
- Experience building scalable reporting frameworks rather than one-off reports
- Ability to operate independently and manage competing priorities without close oversight
- Experience with Sigma, Python proficiency (Pandas, PySpark, automation, or report generation)
- ETL, data pipeline, or data engineering experience
- Exposure to decisioning platforms or rules engines
- Experience with external client-facing reporting or lender reporting
- Background in FinTech, lending, or financial services data
Benefits
- Growth & Opportunity: Be part of a company that values professional development and encourages new ideas
- Community Impact: Join a team that supports local communities and social responsibility
- Creative & Transparent Culture: An open, collaborative environment that values innovation and honest communication
- Comprehensive Benefits: Medical, dental, vision, and additional wellness coverage for your overall well-being
- Unlimited PTO: Flexible time off to support work-life balance.
- Stock Options: Opportunity to share in the company’s growth and success.
Why Apply Through Jobgether?
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
