Manager, Analytics Engineering

🕒 July 1

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Forward Financing

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💸 Finance

💳 Fintech

🤝 B2B

💰 $250M Debt Financing on 2021-05

Finance • Fintech • B2B

Forward Financing is a company that provides fast and flexible financing solutions for small businesses. They specialize in offering capital to small businesses that may struggle to secure funding from traditional financial institutions. With a simple application process, businesses can receive funding decisions within hours and may have funds transferred the same day. Their revenue-based financing model allows payments to adjust with the business's revenue. Forward Financing aims to provide clear and transparent terms, ensuring customer satisfaction and trust. They have been recognized for their excellent service and are rated highly by small business owners.

📋 Description

• Lead, coach, and develop a team of Lead and Senior Analytics Engineers - driving career growth, performance and a high-trust team culture. • Stay deeply hands-on: write and review SQL/dbt code, drive technical design, and uphold a high bar for craftsmanship, testing and documentation across our Snowflake + dbt stack. • Own the roadmap for your team’s portion of the analytics platform - prioritizing work that drives the most business impact and balancing delivery, quality and technical debt. • Drive Forward’s data centralization vision by partnering with Business Intelligence and wider Analytics group to design and deliver scalable data models, marts, and a reliable semantic layer that serves as the company’s single source of truth. • Lead the build-out of our semantic layer and metrics standards so key business KPIs are defined once, governed clearly, and consumed consistently across dashboards, models, AI agents, and downstream products. • Translate ambiguous business problems from leadership and cross-functional stakeholders into well-scoped technical solutions, communicating tradeoffs clearly to both technical and non-technical audiences. • Champion data quality, observability, and governance - including testing, lineage, cataloging, and incident response - so stakeholders can trust the numbers. • Drive technical excellence in our dbt project: model architecture, performance tuning, incremental strategies and CI/CD practices that scale as data volume and team size grow. • Help shape our hiring bar - recruit, interview and onboard exceptional Analytics Engineers as the team continues to grow.

🎯 Requirements

• 7+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence with a strong foundation in SQL and dimensional/data modeling. • 2+ years of people management experience leading senior individual contributors, including driving performance and career development. • Deep hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including incremental models, testing strategies, and macros. • Demonstrated experience designing and operating a semantic or metrics layer that serves as a trusted source of truth across an organization. • Track record of partnering directly with senior cross-functional leaders (Finance, Risk, Operations, Product, etc.) to translate business problems into durable data products. • Excellent written and verbal communication skills - able to make complex technical decisions accessible to executives and non-technical partners. • Proven ability to coach engineers, raise the technical bar, and deliver consistently against an ambitious roadmap.

🏖️ Benefits

• medical, dental, vision • flexible time-off policy • paid parental leave • RRSP match • wellness reimbursement • volunteering days • annual professional development budget • charitable donation match