Senior Analytics Engineer - 6 Month Contract to Hire
Direct-to-Consumer Financial Services Brand | Remote (US)
We’re partnering with a fast-growing, consumer-centric financial services brand that operates entirely direct-to-consumer. The business is digital-first, marketing-driven, and highly focused on understanding customer behavior, conversion performance, and growth efficiency.
This Senior Analytics Engineer role is a key hire to help scale how data is modeled, transformed, and activated across the business.
Why This Role Exists
The company runs a high-velocity, D2C growth engine supported by a lean analytics team. Today, one senior analytics leader is carrying a large portion of the modeling and transformation workload. This role adds senior engineering capacity to help centralize data, improve analytics foundations, and unlock better insights across marketing and customer experience.
This is not a passive reporting role. You’ll be embedded in the business.
What You’ll Do
Design and maintain scalable, well-structured data models in Snowflake
Transform and integrate customer, marketing, and event-based data for analytics and activation
Work with data from sources such as marketing platforms, customer surveys, reviews, support systems, and behavioral events
Partner closely with analytics leadership to enable faster, more reliable decision-making
Improve analytics foundations including semantic layers, documentation, and data usability
Support real growth questions, including:
Which campaigns are driving ROI?
Where are customers dropping off in the funnel?
How can targeting and personalization improve conversion rates?
How do we measure and optimize customer engagement over time?
What We’re Looking For
This is a senior role because of judgment, ownership, and problem-solving ability, not because we expect mastery of every tool.
Core Skills
Advanced SQL and hands-on Snowflake experience
Strong data modeling and transformation experience
Experience working with event data, customer data, or marketing analytics
Comfortable working in Git and modern analytics engineering workflows
Experience with orchestration tools like Airflow or Dagster is a plus
Experience
4–7 years in analytics engineering, data engineering, or similar roles
Proven ability to work independently on loosely defined problems
Background in direct-to-consumer, retail, e-commerce, or marketing analytics is highly valued
Financial services experience is not required
What Actually Matters
Sharp, inquisitive, and growth-oriented
High mental acuity and strong analytical instincts
Comfortable with ambiguity and fast iteration
Able to translate business questions into practical data solutions
Learns quickly and enjoys building clarity where none exists
Why This Role Is Compelling
High-impact work tied directly to growth and revenue
Close partnership with experienced analytics leadership
Opportunity to shape analytics practices as the company scales
Fully remote with senior-level autonomy and ownership
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