
Senior Data Analyst/Data Scientist
Maryland Heights, MO · HybridContract$60–63/hrSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The Data Scientist/Senior Data Analyst will join an enterprise contact center team supporting Data Analytics, Product, Operations, and Executive Leadership. The role analyzes operational data, develops dashboards and reporting assets, builds data pipelines, and translates business requests into actionable insights. The position is on-site four days per week and pays $60–$63 per hour W2; C2C is not accepted.
Skills & qualifications
Skills
Full job description
Our Fortune 500 client is seeking a Data Scientist / Senior Data Analyst to join their team. As a Data Scientist / Senior Data Analyst, you will be part of the enterprise contact center team supporting Data Analytics, Product, Operations, and Executive Leadership Teams. The ideal candidate will have strong analytical thinking, excellent communication skills, and the ability to work independently, which will align successfully in the organization.
Job Title: Data Scientist/Sr. Data Analyst
Location: Maryland Heights, MO (On-site 4 days per week)
Pay Range: $60-63 per hour W2 (C2C will not be accepted at this time)
What’s the Job?
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Extract and analyze data from large operational datasets using Splunk SPL, Python, and SQL to support business decision-making.
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Design and develop Tableau dashboards and executive-level reports that are scalable, user-friendly, and performance-optimized.
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Translate ambiguous business requests into clearly defined analytical solutions and actionable insights.
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Build, maintain, and monitor production-quality data pipelines, analytics solutions, and reporting assets.
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Present findings and recommendations to business stakeholders, product teams, and senior leadership in a clear and meaningful way.
What’s Needed?
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Hands-on experience with Splunk, including SPL searches and dashboard development using operational data.
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Strong Python skills, including pandas and NumPy, with experience processing and analyzing large datasets.
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Experience working with SQL Server, Oracle, and relational databases; Snowflake experience is a plus.
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Expertise in Tableau dashboard development, reporting best practices, and data visualization.
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Strong foundation in statistical analysis, hypothesis testing, machine learning fundamentals, and communicating technical findings to non-technical audiences.
If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!
About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions
Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
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