Data Analyst

Altair Data

. Conduct analysis and produce accurate datasets based on customer or management requirements .

Posted 9/29/2026full-timeBrentwood • Tennessee • United StatesJuniorMid-Level💰 $60,000 - $80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in Python and SQL for data analysis, transformation, and ETL development, with a strong focus on data quality and accuracy. Capable of leveraging AI tools for process improvement while maintaining data security and confidentiality.

Highest-signal resume keywords

Python Data CleaningSQL Query DevelopmentETL Workflow MaintenanceData Analysis and InterpretationStatistical Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisETL DevelopmentPython ProgrammingSQL ProficiencyData CleaningData TransformationStatistical AnalysisData Quality ControlAutomationDatabase Management

Soft Skills

Analytical SkillsOrganizational SkillsAttention to DetailCollaborationIndependent Work

Tools & Technologies

PandasExcelTableauPower BIAlteryxAI Tools

Industry Keywords

Data ProcessingData SecurityData VisualizationRelational DatabasesBusiness Rules

Tech Stack

Tools & technologies

ETLPandasPythonSQLTableau

About the role

Key responsibilities & impact

Conduct analysis and produce accurate datasets based on customer or management requirements
Develop and maintain Python scripts and SQL queries to extract, transform, analyze, and deliver data
Build, maintain, and troubleshoot ETL workflows combining data from multiple sources
Apply business rules and prepare datasets for analysis or client delivery
Acquire data from primary and secondary sources and maintain databases and data processing systems
Interpret data, analyze results using statistical techniques, and identify trends or patterns
Clean, validate, and reconcile data to identify errors and ensure accuracy and completeness
Use company-approved AI tools for coding, troubleshooting, documentation, and process improvement while validating outputs and following data security and confidentiality requirements
Document workflows, business rules, and quality control procedures
Work with management and internal teams to understand requirements, prioritize business needs, and deliver accurate results within established timelines
Identify opportunities to automate manual processes, improve data quality, and increase processing efficiency

Requirements

What you’ll need

At least two years of professional experience in data analysis, data processing, ETL development, or a related role
Practical experience using Python for data cleaning, transformation, and automation
Familiarity with data processing libraries such as pandas is preferred
Strong working knowledge of SQL, including joins, filters, aggregations, and queries involving multiple tables
Experience developing or maintaining ETL workflows and working with relational databases, structured data files, and data quality controls
Ability to troubleshoot processing failures, investigate data discrepancies, and implement reliable solutions
Familiarity with Excel and reporting or visualization tools such as Tableau or Power BI
Alteryx experience is a plus but is not required
Interest in leveraging AI-assisted tools to support coding, data analysis, and process improvement, with the ability to evaluate outputs for accuracy and use these tools responsibly
Strong analytical and organizational skills, basic knowledge of statistics, and attention to detail when working with large datasets
Ability to manage assigned work independently, document processes, explain findings, and collaborate with technical and business teams
Bachelor’s degree in Mathematics, Computer Science, Data Science, Information Management, Statistics, or a related field, or equivalent relevant professional experience

Benefits

Comp & perks

Hybrid remote work arrangement
AI-assisted tools to improve productivity and automate routine tasks