Senior Data Analyst/Data Scientist

Experis Austria; Maryland Heights (MO); On-site; USD 83,000 - 87,000; Full time

Job summary

Experis is seeking a Senior Data Analyst/Data Scientist for an onsite role in Maryland Heights, MO (4 days per week). You will turn operational data into dashboards, reporting, and decision-ready insights using Splunk, Python, SQL, and Tableau, collaborating across Data Analytics, Product, Operations, and Executive Leadership.

You will extract and analyze large datasets, build scalable Tableau views, and align analytics with evolving business needs.

Qualifications

• Hands-on experience with Splunk and SPL searches
• Strong Python skills including pandas and NumPy
• Experience with SQL Server and Oracle; Snowflake is a plus
• Expertise in Tableau dashboards and reporting best practices
• Foundations in statistics, hypothesis testing, and ML fundamentals

Responsibilities

• Extract and analyze large operational datasets to support decision-making
• Design and develop Tableau dashboards and executive reports
• Translate business questions into analytical solutions and actionable insights
• Build, maintain, and monitor production-quality data pipelines and analytics assets
• Present findings to stakeholders and senior leadership in a clear way

Skills

Splunk

Python

SQL

Tableau

Data visualization

Tools

SQL Server

Oracle

Snowflake

Job description

Join Experis as a Senior Data Analyst/Data Scientist supporting an enterprise contact center team. This onsite role in Maryland Heights, MO (4 days per week) gives you the chance to work across Data Analytics, Product, Operations, and Executive Leadership. You will turn operational data into dashboards, reporting, and decision-ready insights using tools like Splunk, Python, SQL, and Tableau, helping stakeholders move from questions to clear analysis.

You will extract and analyze large operational datasets, build performance-optimized Tableau views for scalable reporting, and help align analytics solutions to evolving business needs. The position is paid on a W2 basis at $60–$63 per hour, and C2C will not be accepted at this time.

Responsibilities

• Extract and analyze operational data from large datasets using Splunk SPL, Python, and SQL to support business decision-making.
• Design and develop Tableau dashboards and executive-level reports that are scalable, user-friendly, and performance-optimized.
• Translate ambiguous business requests into clearly defined analytical solutions and actionable insights.
• Build, maintain, and monitor production-quality data pipelines, analytics solutions, and reporting assets.
• Present findings and recommendations to business stakeholders, product teams, and senior leadership in a clear and meaningful way.

Requirements

• Hands-on experience with Splunk, including SPL searches and dashboard development using operational data.
• Strong Python skills, including pandas and NumPy, with experience processing and analyzing large datasets.
• Experience with SQL Server and Oracle, plus relational database experience; Snowflake is a plus.
• Expertise in Tableau dashboard development, reporting best practices, and data visualization.
• A strong foundation in statistical analysis, hypothesis testing, machine learning fundamentals, and communicating technical findings to non-technical audiences.

Location and Pay

• Location: Maryland Heights, MO (onsite, 4 days per week)
• Pay range: $60–$63 per hour on W2 (C2C not accepted)