Lead Data Analyst

LendKey Technologies, Inc.

Lead Data Analyst responsible for Sigma BI platform end-to-end at LendKey. Collaborating with stakeholders to develop dashboard solutions and drive data consumption across the organization.

Posted 4/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $100,000 - $125,000 per yearWebsite

Tech Stack

Tools & technologies

ETLPandasPySparkPythonSQLTableau

About the role

Key responsibilities & impact

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 LendKey’s 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

What you’ll need

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; not just executing tickets
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 and driving adoption
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 (Taktile, Drools, Blaze, Pega, or similar)
Experience with external client-facing reporting or lender reporting
Background in FinTech, lending, or financial services data.

Benefits

Comp & perks

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.

ATS Keywords

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Hard Skills & Tools

SQLDatabricksETLdata pipelinePythonPandasPySparkreport generationreporting frameworksKPI definitions

Soft Skills

stakeholder partnershipcommunicationindependent operationprioritizationtrainingadoption drivingcollaborationdocumentationproblem-solvingproject management