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Upside

Analyst, Consumer Intelligence

Posted 3 Hours Ago
Be an Early Applicant
Hybrid
New York, NY
120K-140K Annually
Mid level
Hybrid
New York, NY
120K-140K Annually
Mid level
As an Analyst in Consumer Intelligence, you'll manage reporting and insights for the Consumer organization, focusing on KPI standardization and cross-functional collaboration to support business growth.
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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 Notebooking (Hex and Looker)

  • Data building and orchestration (DBT and Dagster)

  • MarTech tools (AppsFlyer, 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.

Benefits:

  • Medical, dental, and vision coverage starting on Day 1

  • Equity (ISOs)

  • 401(k) program

  • Family planning programs + paid parental leave

  • Physical fitness and wellness memberships

  • Emotional and mental health support programs

  • Unlimited PTO + 10 paid federal holidays + our annual, week-long Winter Break

  • Flexible work environment

  • Lunch reimbursement for in-office employees

  • Employee Resource Groups

  • Learning and Development stipend

  • Transparent culture

  • Amazing mission!

Diversity and Inclusion:

Diversity drives innovation, and our differences make us stronger. We‘re passionate about building a workplace that represents a variety of backgrounds, skills, and perspectives, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here!

If there's anything we can do to support a disability or special need during your application or interview process, please email [email protected].

This email is for accessibility accommodations only, it should not be used to submit job applications.

Notice To Recruiters And Placement Agencies:

This is an in-house search with a dedicated recruiter. Please do not submit resumes to any person or email address at Upside. Upside is not liable for, and will not pay, placement fees for candidates submitted by any party or agency other than its approved recruitment partners.

Top Skills

Appsflyer
Dagster
Dbt
Hex
Iterable
Looker
Segment
Snowflake
SQL

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