Operations Data Analyst

1-800 Contacts; United States; Hybrid; USD 85,000 - 120,000; Full time

Job summary

SeekWell, the parent company of 1-800 Contacts, Luna, and The Framery, seeks a data analyst to turn data into insights that drive smarter decisions across the business. You will collect, clean, and transform data from multiple sources, build Databricks Silver tables, and develop dashboards to present findings.

Strong communication and 4+ years in a corporate analytics role are required. Hybrid work with two days in Draper, UT is supported.

Qualifications

• 4+ years of data analyst experience in a corporate setting.
• Proficiency with Databricks and SQL.
• Excellent written and verbal communication skills.
• Hybrid Work Requirement: two days per week in Draper, UT.

Responsibilities

• Collect, clean, and transform data from multiple sources to ensure accuracy and consistency.
• Support data migration projects by analyzing requirements and translating logic to new platforms.
• Build and maintain Databricks Silver tables for analytics and reporting.
• Collaborate with Data Engineers to articulate data needs for analysis.
• Monitor data quality and contribute to data infrastructure and tools.
• Conduct exploratory data analysis to identify trends and anomalies.
• Develop and maintain interactive dashboards and visualizations.
• Communicate findings to stakeholders via reports and presentations.

Tools

Databricks

SQL

Python

R

Excel

Tableau

Power BI

SAS

SPSS

Job description

Remote

Who we are

SeekWell is the parent company of 1-800 Contacts, Luna, and The Framery. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, pioneering products and businesses that make consumers cheer. We’re owned by KKR – one of the world’s largest and most successful private equity investment companies. We’ve built an excellent company and changed an industry by putting the customer first, always. The best is yet to come!

Why you want this job

In this role, you’ll work closely with SeekWell’s operations teams to turn data into insights that help the business make smarter decisions and improve how we work. You’ll collaborate with teams across the organization, dig into data, and have the opportunity to see your work make a real impact. If you’re a go-getter who enjoys solving problems with data, this is a great opportunity to grow your skills and build your career with a collaborative team.

What you’ll do

• Collect, clean, and transform data from multiple sources to ensure accuracy and consistency in analysis, maintaining all necessary data dictionaries.
• Support enterprise data migration projects by analyzing data requirements, translating current operational logic into new platforms, and refactoring processes to maintain data integrity.
• Build and maintain Databricks Silver tables designed to serve analytics and reporting needs, ensuring data quality and consistency throughout data migrations.
• Work closely with Data Engineers and Analytics Engineers to clearly articulate the data needs for analysis and actively participate in the collaborative data modeling process.
• Continuously monitor data quality and provide recommendations for improvement and contribute to the development and maintenance of data infrastructure and tools.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain interactive dashboards and visualizations to present data-driven insights.
• Clearly communicate findings to stakeholders through reports, presentations, and informal communication channels like Slack.

What you'll need

• 4+ years of data analyst experience in a corporate setting
• Proficiency with Databricks and SQL
• Excellent written and verbal communication skills with the ability to convey complex information clearly and concisely
• Hybrid Work Requirement: Ability to work in the office two days per week in Draper, UT

Why we will love you

• Experience with data analysis tools such Python, R, and Excel
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Experience with statistical software (e.g., SAS, SPSS)
• Strong analytical and problem-solving skills, with a keen attention to detail
• Ability to work collaboratively in a team environment and adapt to changing priorities
• Comfortable interacting with stakeholders from all levels of the organization
• Familiarity with data management best practices and regulatory requirements for sensitive data (e.g., HIPAA, CCPA)