Data Operations Analyst

About 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

The Operations team at Upside is a diverse group of team-oriented individuals who are committed to our mission of helping communities thrive. Every day, we strive to maximize the value we provide to consumers and merchants alike by analyzing system performance, rooting out inefficiencies, and delivering on our promises. The Merchant Operations team works cross-functionally to get locations live on the platform and tries to make our product even better for our merchants every day. We value a supportive work environment where we can learn from our mistakes while we tackle the ever-changing challenges that come with supporting a fast-growing business!

As a Data Operations Analyst, you'll drive company success by:

• Communicating effectively across levels and departments through strong verbal, written, and presentation skills
• Interacting comfortably with merchants and external partners
• Collaborating with project managers, system health, and engineering to ensure effective cross-project communication and issue management
• Participating actively in process improvement initiatives to enable operational efficiency
• Assessing existing practices, identifying deficiencies and gaps, and creating plans to remediate
• Thoroughly documenting processes and exceptions

Competencies You'll Need

• 1+ years of relevant work experience
• Demonstrated understanding of data integration and normalization
• Excellent time management and organizational skills
• Experience working in a collaborative environment
• Ability to think creatively to approach problem-solving
• Comfortability with external partner communications
• Deadline driven, self-motivated, organized, and able to multitask

Tools We Use

• Jira
• Confluence
• Hex
• Gsuite
• Slack

Location

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

Compensation

The U.S. base salary range for this full-time position is $100,000 - $115,000 + equity + benefits. The final starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Your recruiter can share more about the specific salary range during the hiring process. #LI-Hybrid #LI-CO1

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 let us know.