> Markdown version of [/jobs/ext/3817798-data-analyst-call-center](https://www.wearedevelopers.com/jobs/ext/3817798-data-analyst-call-center). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst Call Center - **Company:** Auto Club - **Location:** Costa Mesa, CA, United States - **Salary:** $74,500.0 - $99,500.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Data Validation, Extract Transform Load (ETL), Relational Databases, Document-Oriented Databases, Python (Programming Language), Standard Sql, Salesforce.Com, SQL Databases, Tableau (Software), Unstructured Data, Genesys, Snowflake, Information Technology, Data Analytics, Data Pipelines - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=09f6b6c2612f3646 ## About the Role * You have either a bachelor's degree in a quantitative or technical field (math, statistics, computer science, engineering) or comparable experience. * You have excellent communication skills, both written and verbal, to effectively convey complex ideas and findings throughout the entire duration of each project (Discovery, Meeting with Stakeholders, Validation and Presentation). * You're proficient in SQL and working with relational databases to query, analyze, and manipulate both structured and unstructured data. * You able to conduct calculations with data manipulations for thorough data validation and analysis. * You have intermediate to advanced Tableau Desktop and Tableau Prep experience. * You have experience with Salesforce and Genesys Cloud preferred ## Description * You'll design, build, and maintain reporting that measure key performance indicators (KPIs) such as Service Quality, Growth, Turnover, Efficiency, and Accuracy. * You'll develop and deliver internal performance and financial reports, including expense tracking, incentive program analysis, and goal progress. * You will provide ad hoc data analysis across multiple data sources using tools and languages such as Snowflake, AWS, SQL, Python, and Tableau. * Perform trend identification and root cause analysis, and present data-driven solutions to stakeholders. * Document data processes, workflows, and reporting logic for implementation and ongoing production support. * You'll create and maintain data flow models to support ETL (Extract, Transform, Load) processes and data pipeline development. * You'll retrieve and analyze Salesforce and Genesys Cloud data from Snowflake to support reporting, operational insights and business decision-making.