Operations Associate: Data-Driven Process Improvement

SuperDial; New York (NY); On-site; USD 75,000 - 95,000; Full time

Benefits offered by this job

Health, dental, vision

Unlimited PTO

Equity

Job summary

SuperDial is seeking an Operations Associate to improve internal operational performance. You will analyze engagement data to identify friction points in the customer journey and own quality initiatives with the customer success team.

You will also streamline call center and support workflows through process redesign, automation, and performance tracking, collaborating with Product, Customer Success and Engineering to implement scalable systems and measure impact.

Qualifications

• 1+ year in consulting or operations at a startup.
• Strong analytical skills with experience using Excel, SQL, or other data tools.
• Highly organized and detail-oriented with proactive problem-solving.
• Ability to manage multiple tasks and work cross-functionally in a fast-paced environment.
• Strong verbal and written communication skills with the ability to present data clearly.

Responsibilities

• Analyze engagement and usage data to identify and resolve friction points in the customer journey.
• Own quality initiatives to maintain high retention alongside the customer success team.
• Improve operational efficiency across call center and support workflows through process redesign, automation, and performance tracking.
• Collaborate across teams (Product, Customer Success, Engineering) to implement scalable systems and workflows.

Skills

Analytical skills

Excel

SQL

Data tools

Job description

SuperDial is seeking an Operations Associate to improve internal operational performance. You will analyze engagement data to identify friction points in the customer journey and own quality initiatives with the customer success team.

You will also streamline call center and support workflows through process redesign, automation, and performance tracking, collaborating with Product, Customer Success and Engineering to implement scalable systems and measure impact.