Data Analyst
The Data Analyst at Confidential Client is responsible for designing and implementing data and text mining processes to analyze diverse data sets, enabling informed business decisions. This role applies statistical and quantitative techniques to extract insights from structured and unstructured data, leveraging emerging technologies to identify trends and provide actionable recommendations to management. The position requires strong analytical, problem-solving, and communication skills, with a focus on supporting business objectives through data-driven insights in an on-site setting at Memphis, TN.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Freight and Package Transportation.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is seeking a Data Analyst to design, implement, and maintain data processes and analyses that support business decisions. This is a full-time, onsite position in Memphis, TN (five days per week).
- Design and implement data and text-mining processes to prepare and transform large, disparate datasets for analysis
- Apply statistical techniques and quantitative methods to identify trends, KPIs, and business opportunities
- Build repeatable analyses and dashboards to inform stakeholders and leadership using BI tools (Power BI, Tableau, etc.)
- Write, optimize, and maintain SQL queries, ETL workflows, and data pipelines
- Prototype models and collaborate with data scientists and engineers on model deployment and monitoring
- Communicate findings and actionable recommendations to cross-functional teams and management
- Document methodologies, assumptions, and data sources; continuously improve data quality and instrumentation
- Perform other duties as assigned
Minimum Qualifications
- Bachelor’s degree in information systems, computer science, mathematics, engineering, operations research, economics, finance, or a related quantitative field — OR equivalent practical experience
- Approximately 2 years of professional experience in measurement and analysis, operations analysis, predictive analytics, or related roles
- Strong SQL skills and experience working with large-scale data processing
- Solid analytical ability and comfort with statistical concepts and experimental design
- Good written and verbal communication and collaboration skills
Preferred Qualifications
- Programming experience in Python, R, or similar languages
- Familiarity with machine learning techniques, MLOps principles, and model deployment pipelines
- Experience with cloud platforms (Azure, AWS, or Google Cloud)
- Experience building dashboards and visualizations in Power BI, Tableau, or similar tools
- Familiarity with production data engineering, unit testing for data, and data governance practices
Work Location & Schedule
- Location: Memphis, TN (onsite at a Confidential Client facility)
- Schedule: Full-time, five days per week onsite
- Employment type: FULL_TIME
Additional Information
- This role is in the Freight and Package Transportation industry.
- Related experience may offset degree requirements, and related education may offset experience requirements.
- Reasonable accommodations are available for applicants with disabilities. If you require an accommodation during the application or hiring process, please contact Careertakes for assistance.
- Employment eligibility to work in the U.S. is required.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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