Our client is seeking a dedicated and innovative Sr Data Analyst to join their remote team. This role offers the flexibility of telecommuting and requires availability during Central Time working hours, with a focus on morning availability.

As a Sr Data Analyst, you will collaborate with a diverse team of 9 Data Engineers and Analysts, Engineering Managers/Leaders, and a Product Owner. Your primary responsibilities will include:
- Working with customers to design data extracts based on their reporting needs
- Collaborating with Data Engineers on the data exports required from data pipelines
- Analyzing data and combining datasets to develop reporting products/solutions
- Leading projects and change initiatives aligned to key priorities of the team
- Executing intermediate programming and/or scripting in at least one of our core technologies to build applications

The ideal candidate will have an undergraduate degree or equivalent experience, with a minimum of 4 years of experience in Human Capital/People Teams, business or financial analysis. You should also have 4+ years of experience analyzing data and combining datasets to develop reporting products/solutions, and 3+ years of experience building dashboards and visualizations in a data visualization tool such as Domo, Tableau, QlikView, PowerBI, or a similar Business Intelligence platform.

Additional qualifications include:
- Advanced level of experience in ETL for visualization tools
- Intermediate level of experience in SQL/HiveQL
- Experience communicating both verbally/written with people at a wide variety of levels in an organization
- Knowledge of JavaScript, CSS (Cascading Style Sheets), and HTML

Preferred qualifications include experience in data extraction, manipulation, and management, project management skills, and experience leading people or large-scale projects. A basic understanding of statistical methodologies and measurements, and 1+ years in an agile environment or with agile tools such as Rally or Swift, will set you apart.

Join our client's team and contribute to innovative solutions for both structured and unstructured data, while serving as a leader and mentor to analysts in lower grade levels.