Melanin Kapital Neobank · 1 month ago
Manager of Analytics Engineering
Melanin Kapital Neobank is seeking a Manager of Analytics Engineering to lead their analytics engineering team. In this role, you will develop data modeling strategies, manage a team of analytics engineers, and collaborate with cross-functional teams to ensure a reliable data foundation that scales with the business.
FinTechGreenTech
Responsibilities
Manage, mentor, and grow a team of 4–5 analytics engineers—fostering a culture of technical excellence, knowledge sharing, and continuous improvement
Define and prioritize the analytics engineering roadmap in partnership with stakeholders across Product, Engineering, Marketing, RevOps, and Data
Lead cross-functional efforts to align on core metrics, semantic layers, and taxonomy—ensuring scalable, reusable data assets across teams
Partner with Data Engineering to evolve our data platform and ensure pipelines are efficient, maintainable, and cost-optimized
Champion high standards for documentation, testing, and governance to ensure reliability and trust in our datasets
Own the end-to-end development of canonical data models in dbt—ensuring clarity, performance, and alignment with business needs
Build and maintain key data pipelines and LookML models powering dashboards, experimentation, and ML workflows
Contribute to the development and monitoring of operational data flows (e.g. reverse ETL pipelines via Census)
Implement and iterate on quality controls, including dbt tests, anomaly detection, and alerting tools (e.g. Monte Carlo, Great Expectations)
Stay current on advancements in the modern data stack and continuously improve our tooling and development workflows
Translate business requirements into scalable, maintainable data solutions—enabling self-service and improving data access across the org
Advocate for data best practices and coach stakeholders on the effective use of our BI tools (Looker, etc.)
Help define how success is measured through collaboration on experimentation instrumentation, analytics enablement, and metric standardization
Represent the Analytics Engineering function in planning cycles, vendor/tooling discussions, and cross-functional initiatives
Qualification
Required
7+ years of experience in analytics/data engineering, with 2+ years in a team lead or management capacity
Deep expertise in SQL, dbt, and modeling performant data sets in modern cloud data warehouses (Snowflake, BigQuery, Redshift)
Experience working with tools like Looker, Census, and workflow orchestrators (e.g. Airflow, Dagster)
Familiarity with Python for scripting, automation, or orchestration tasks
Strong communication skills and a proven track record of cross-functional partnership and stakeholder alignment
A mindset of mentorship and a passion for helping others grow technically and professionally
Preferred
You've led or contributed to initiatives around data governance, semantic modeling, or reverse ETL at scale
You've helped scale a data team or shaped processes for testing, CI/CD, and deployment of data models
Experience working with event tracking systems (e.g. Segment, Rudderstack) and supporting experimentation workflows (Amplitude, Growthbook)
You've worked in a high-growth, product-led SaaS company and understand the importance of enabling fast, reliable decision-making
Company
Melanin Kapital Neobank
Melanin Kapital Neobank is the 1st Carbon Bank providing access to finance digitally to African SMEs from the green economy.
Funding
Current Stage
Early StageTotal Funding
$0.23MKey Investors
Ecobank Fintech ChallengeAdaverseTechstars
2024-09-30Grant· $0.01M
2023-08-07Pre Seed
2022-11-21Non Equity Assistance
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