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Senior Analytics Engineer

NYC Office · New York, United States

Pay
Pay not listedSimilar roles state $122K–$190K
Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Product & Technology › Data — team source
Department: Product & Technology › Data
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require visa sponsorship to work legally in the United States (now or in the future)? This includes needing sponsorship for CPT, OPT or other visa types to work in the US.
From the employer’s application form
Apply at Confido

What you’ll work on

Full posting
  • Design, build and maintain the centralized data warehouse and analytics infrastructure

  • Develop scalable data models for reporting, dashboards and customer-facing exports

  • Track data ownership, lineage and dependencies so data is discoverable and trustworthy

  • Consolidate fragmented data models into a single source of truth

  • Build semantic layers and datasets for self-service analytics

From the employer’s posting
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.
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.
Enable self-service analytics by creating scalable datasets and semantic layers for downstream consumers.

Tools in this posting

  • SQL
  • dbt
  • Snowflake
Source — Tool mentions in context
- 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.

Posting record

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Open 4 monthsWe first saw this posting 129 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 23, 2026 · 129 days ago
Recorded sightings
93
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees.

We're building the platform they run on, and a brand they'll be proud to be part of.

Confido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number.

We’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.

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

The Role

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.

🌴 Perks + Benefits

  • 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.

Source details

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New York, United States

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