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Analyst, Consumer Intelligence

Job in New York, New York County, New York, 10261, USA
Listing for: Upside
Full Time position
Listed on 2026-01-26
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 140000 USD Yearly USD 120000.00 140000.00 YEAR
Job Description & How to Apply Below
Location: New York

Overview

Meet Upside: We created Upside to transform brick-and-mortar commerce. Our technology uses the sophistication of online retail—profit measurement, attribution, and incrementality—to provide users with more value on their everyday purchases and brick-and-mortar businesses with new, profitable customers. We’ve helped millions of users earn 2 to 3 times more cashback than any other product, and hundreds of thousands of brick-and-mortar businesses earn measurable profit.

Billions of dollars in commerce run through the Upside platform every year, and that value goes directly back to our retailer partners, the consumers they serve, and important sustainability initiatives.

The Impact You’ll Make

We’re hiring an Analyst, Consumer Intelligence to empower business intelligence for the Consumer organization—owning reporting, dashboards, and the insights that help leadership understand and improve the health of our consumer business. You’ll quarterback reporting and insights for Upside’s consumer business, and work cross-functionally with Finance, Marketing, RGTM, and Product to standardize KPIs, operationalize a single source of truth, and turn data into clear, actionable narratives that drive decisions and outcomes.

You’ll bring strong SQL and dashboarding skills and be an exceptional data storyteller, with a focus on driving scaled and profitable growth of Upside’s consumer business.

What You’ll Do
  • Own end-to-end Consumer reporting, delivering reliable weekly/monthly/quarterly business reviews and “mission control” dashboards that provide a fast, cohesive read on performance.

  • Build, maintain, and evolve dashboards in our BI stack; write scalable SQL and apply data modeling best practices to ensure performant, trustworthy self-service.

  • Develop automated reporting and alerting to improve clarity and speed of decision-making; contribute to data quality checks and documentation for metric definitions.

  • Lead ad hoc deep-dives on business questions; transform analysis into crisp, executive-ready storytelling with a point of view and next steps.

  • Collaborate with Analytics Engineering and Data partners to improve upstream data assets; advocate for reliable pipelines and well-documented semantic layers.

  • Partner with Finance to drive profitable, scalable growth—align on national and DMA level pacing, forecasting, ROI/IRR read; translating insights into clear recommendations that influence prioritization and tradeoffs.

  • Partner with RGTM and Consumer teams to track funnel and lifecycle outcomes and quantify consumer impact on merchant performance.

  • Define and standardize Consumer KPIs and metric definitions; align with Finance and Product on a single source of truth for core metrics and drivers.

Competencies You’ll Need
  • 2+ years of experience in business intelligence, analytics, or a similar role supporting consumer or growth-oriented teams.

  • Strong SQL proficiency and dashboarding skills; proven experience building executive-ready dashboards and reports that drive action.

  • Excellent data storytelling and communication—able to simplify complex analyses, tailor for different audiences, and influence decisions.

  • Experience partnering cross-functionally with Marketing, Finance, and Product to define requirements and deliver scalable BI.

  • Experience developing data models and partnering with analytics engineers to publish those data models into production.

  • Pragmatic, quality-focused approach to metric definitions, data validation, and governance in a fast-paced, high-ambiguity environment.

Tools We Use
  • SQL (Snowflake)

  • Visualization and Note booking (Hex and Looker)

  • Data building and orchestration (DBT and Dagster)

  • Mar Tech tools (Apps Flyer, Iterable, Segment)

Location

This hybrid role is based in our NYC office. In-office attendance is required on Monday, Tuesday, and Thursday, and may increase based on project needs and changes to Upside’s in-office policy over time.

Compensation

The U.S. base salary range for this full-time position is $120,000 - $140,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions.

#LI-Hybrid
#LI-CO1

Benefits
  • M…

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