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Operations Data Analyst
1-800 CONTACTS. Collect, clean, and transform data from multiple sources to ensure accuracy and consistency in analysis, maintaining all necessary data dictionaries .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data collection, cleaning, and transformation, with extensive experience in Databricks, SQL, and data visualization tools. Strong analytical skills and the ability to communicate complex findings effectively to stakeholders.
Highest-signal resume keywords
Databricks ProficiencySQL ExpertiseData Visualization (Tableau, Power BI)Data Analysis (Python, R, Excel)Statistical Software Experience (SAS, SPSS)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CollectionData CleaningData TransformationData AnalysisData Quality MonitoringData ModelingDashboard DevelopmentExploratory Data AnalysisData MigrationData Integrity
Soft Skills
Excellent Communication SkillsAnalytical Problem-SolvingAttention to DetailTeam CollaborationAdaptability
Tools & Technologies
DatabricksSQLTableauPower BIPythonRExcelSASSPSSSlack
Industry Keywords
Data Management Best PracticesRegulatory Requirements (HIPAA, CCPA)Data InfrastructureData DictionariesData Migration Projects
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- 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 articulate data needs and participate in collaborative data modeling
- Monitor data quality, recommend improvements, and contribute to data infrastructure and tools
- Conduct exploratory data analysis to identify trends, patterns, and anomalies
- Develop and maintain interactive dashboards and visualizations
- Communicate findings to stakeholders through reports, presentations, and Slack
Requirements
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
- Ability to work in the office two days per week in Draper, UT
- 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)
Benefits
Comp & perks- Free eye exams for your entire family
- Deep discounts on lenses, glasses, and other services
- Amazing healthcare coverage
- 401(k) match
- Flexible PTO
- Tuition reimbursement program
- In-house restaurant with highly discounted meals (Steak dinner under $6)
- Free snacks, ice cream, and drinks every day
- Full onsite gym