Senior Analytics Engineer

Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations, unified in one system for the first time.

We're growing 5x year over year with a small team in New York City; the people who join now will shape the product, the culture, and the company itself.

If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.

At Confido, data powers everything from customer-facing insights to internal decision making. We are looking for an Analytics / Data Engineer to build the foundation that enables scalable reporting, trusted metrics, and seamless data access across the company.

What You'll Do

• Design, build, and maintain our centralized data warehouse and analytics infrastructure.

• Develop scalable data models that power reporting, dashboards, operational workflows, and customer-facing data exports.

• Serve as the steward of Confido's data landscape, creating visibility into data ownership, lineage, and dependencies while ensuring data is discoverable, trustworthy, and easy to consume across the organization.

• Consolidate and standardize data models across multiple products and teams, creating a single source of truth for the business.

• Establish data engineering best practices, including data modeling standards, testing, documentation, monitoring, and governance.

• Partner closely with Engineering, Product, Operations, and Customer teams to define metrics and deliver actionable insights.

• Improve data quality, reliability, and accessibility across the organization.

• Enable self-service analytics by creating scalable datasets and semantic layers for downstream consumers.
  

What We're Looking For

• 4-8+ YOE building and operating modern data warehouses and analytics platforms.

• Strong SQL skills and experience modeling large datasets.

• Deep experience with distributed data processing, including designing performant ETL pipelines and optimizing large-scale data workloads.

• Experience with data pipeline orchestration, ETL/ELT workflows, and data infrastructure.

• Familiarity with modern analytics tooling such as Snowflake, dbt, or similar technologies.

• Ability to balance immediate business needs with long-term platform investments.

• Excellent communication skills and a track record of working cross-functionally with technical and non-technical stakeholders.
  

Success in This Role

Within your first year, you'll establish the foundation of Confido's analytics platform by building a scalable data warehouse, unifying fragmented data models across teams, and creating the infrastructure and standards that allow every engineer to reliably publish and consume data. Your work will directly enable faster decision-making, better customer insights, and a more data-driven organization.

• Equity — own a meaningful piece of the company you’re helping build

• Fully paid health coverage through Aetna — we cover 100% of employee premiums

• Top-tier dental and vision coverage through Guardian

• Carrot Fertility Pro — comprehensive fertility and family-forming support

• 12 weeks of paid parental leave

• Unlimited PTO — plus regular 4-day holiday weekends we actually take

• 401(k) through Vestwell

• Paid relocation support — we’ll help you make the move to NYC

• Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup

• Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.