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Data Analysis Assistant Jobs in Tuskegee, AL (NOW HIRING)

4pconsultinginc

Data Analyst 1

Auburn, AL · On-site

Data Analyst I Location: Arcadia Data Center, Auburn, Alabama Client- Southern Company Services ... Perform routine maintenance and basic troubleshooting of server hardware issues. * Assist in ...

OCV LLC

Business Analytics Intern

Opelika, AL · On-site

Provide actionable insights to the team based on data analysis. * Work alongside the development team to gain insights into app features and user interactions. * Assist in evaluating client success ...

Radix Construction Inc

Data Entry Specialist

Montgomery, AL · On-site

$16.75 - $22.50/hr

Provide general administrative support and assist with departmental projects as needed ... Basic reporting and data analysis experience. Understanding of data accuracy standards and quality ...

Tuskegee University

Systems Analyst

Tuskegee, AL · On-site

$70 - $90/hr

... * Assist in troubleshooting and resolving technical issues in lab and operational environments ... Proficiency in data analysis tools, system modeling, and documentation platforms * Preferred ...

DataAnnotation

FP&A Manager - AI Trainer

Montgomery, AL · Remote

$50 - $100/hr

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Aumovio SE

Technical On-site Resident Engineer

Auburn, AL · On-site

$70 - $110/hr

Reproduce issues reported by the customer and support root cause analysis. * Assist in the collection of data and technical trouble shooting through initial analysis and data acquisition of anomalies ...

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All JobsData Analysis JobsData Analysis Assistant JobsData Analysis Assistant Jobs in Tuskegee, AL

Data Analysis Assistant information

See Tuskegee, AL salary details

$9

$17

$24

How much do data analysis assistant jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for data analysis assistant in Tuskegee, AL is $17.42, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.57 per hour, depending on experience, location, and employer.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are the key skills and qualifications needed to thrive as a data analysis assistant?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What cities near Tuskegee, AL are hiring for Data Analysis Assistant jobs?

Cities near Tuskegee, AL with the most Data Analysis Assistant job openings:

Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in Tuskegee, AL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,228 per year, or $17.4 per hour.

Research Assistant Professor-Genomic Sequencing Data Analysis

Tuskegee University

Tuskegee, AL • On-site

$110 - $150/hr

Other

Re-posted 22 days ago

Job description

Research Assistant Professor-Genomic Sequencing Data Analysis

We are seeking a highly skilled and motivated Research Assistant Professor with expertise in genomic sequencing data analysis to join our multidisciplinary research team. The successful candidate will lead computational and statistical analyses of large-scale genomic datasets, including whole-genome, whole-exome, and transcriptomic sequencing, to advance projects in cancer biology, precision medicine, and related biomedical fields. This position offers the opportunity to develop independent research while contributing to collaborative team science.

  • Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-Seq, and spatial transcriptomics datasets.
  • Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
  • Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
  • Collaborate with wet-lab scientists to integrate genomic data with experimental results.
  • Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
  • Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
  • Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
  • Maintain data management, quality control, and reproducibility standards in accordance with institutional and funding agency guidelines.
Preferred Qualifications
  • Ph.D. or equivalent degree, with postdoctoral training in bioinformatics, computational biology, genomics, computer science, statistics, or related field.
  • Demonstrated expertise in NGS data analysis, including quality control, alignment, variant calling, and downstream interpretation.
  • Proficiency with bioinformatics tools (e.g., GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, Seurat) and programming languages (e.g., Python, R, Bash).
  • Experience working with high-performance computing and cloud-based analysis platforms.
  • Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.
Physical Demands

FLSA

FLSA Exempt

Status

Status Full-Time

Skills and Attributes
  • Familiarity with database development, workflow management systems (e.g., Nextflow, Snakernake), and reproducible research practices (e.g., Docker, Git).
  • Strong track record of peer-reviewed publications in genomic data analysis.
  • Excellent problem-solving, organizational, and communication skills.
  • Ability to work effectively in multidisciplinary research teams.
Additional Employment Details

Will this position required travel? yes

Will this position required night, weekend, and after hour work? yes

Will this positon be supported using grants or contract funding? yes

Vacancies

Number of Vacancies 1

Open Date

04/07/2026

Open Until Filled

No

Documents Needed to Apply

Required Documents

  • Resume
  • Cover Letter
  • Transcript 1
  • Letter of Recommendation 1
  • Letter of Recommendation 2
  • Letter of Recommendation 3
Optional Documents
  • Other
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