On-Site Data Scientist & Senior Analyst

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

Job summary

Experis is seeking a Data Scientist/Senior Data Analyst for a Maryland Heights, MO on-site role. You will extract and analyze data from large datasets, build dashboards, and present insights to senior leadership.

You should have hands-on experience with Splunk SPL, Python (pandas, NumPy), SQL Server/Oracle, and Tableau. Strong communication and ability to translate business questions into analytical solutions are essential.

Qualifications

• 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 working with SQL Server, Oracle, and relational databases; Snowflake experience is a plus.
• Expertise in Tableau dashboard development, reporting best practices, and data visualization.
• Strong foundation in statistical analysis, hypothesis testing, machine learning fundamentals, and communicating technical findings to non-technical audiences.

Responsibilities

• Extract and analyze data from large operational 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.

Skills

Splunk SPL

Python pandas NumPy

SQL Server

Oracle

Snowflake

Tableau

Statistical analysis

Machine learning basics

Data visualization

Tools

Tableau

Snowflake

SQL Server

Oracle

Job description

Experis is seeking a Data Scientist/Senior Data Analyst for a Maryland Heights, MO on-site role. You will extract and analyze data from large datasets, build dashboards, and present insights to senior leadership.

You should have hands-on experience with Splunk SPL, Python (pandas, NumPy), SQL Server/Oracle, and Tableau. Strong communication and ability to translate business questions into analytical solutions are essential.