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Data Analysis Assistant Jobs in Texas (NOW HIRING)

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

This individual will work closely with internal stakeholders to evaluate trends, develop recommendations, and assist leadership with data-driven decision-making. Key Responsibilities * Analyze ...

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

This individual will work closely with internal stakeholders to evaluate trends, develop recommendations, and assist leadership with data-driven decision-making. Key Responsibilities * Analyze ...

Data Analyst

Austin, TX · On-site

$75K/yr

... * Assist with the development of business requirements and specifications for data projects ... Understanding of data analysis techniques, dashboards, modeling, querying, and workflows * Strong ...

... * Assist with the development of business requirements and specifications for data projects ... Understanding of data analysis techniques, dashboards, modeling, querying, and workflows * Strong ...

... * Assist in training data analysis personnel. * Operational Excellence: Actively participate in continuous improvement initiatives, consistently working towards the achievement of individual and ...

... * Assist in training data analysis personnel. * Operational Excellence: Actively participate in continuous improvement initiatives, consistently working towards the achievement of individual and ...

Develop Excel-based reports, templates, tracking tools, and analysis workbooks to improve visibility and efficiency. * Assist with data validation, data cleanup, report documentation, and process ...

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Data Analysis Assistant information

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 are the most commonly searched types of Data Analysis jobs in Texas?

The most popular types of Data Analysis jobs in Texas are:

What job categories do people searching Data Analysis Assistant jobs in Texas look for?

The top searched job categories for Data Analysis Assistant jobs in Texas are:

What cities in Texas are hiring for Data Analysis Assistant jobs?

Cities in Texas with the most Data Analysis Assistant job openings:

Infographic showing various Data Analysis Assistant job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full-time

Posted 2 days ago

New


Job description

 

JOB SUMMARY 

The Molecular Genetics Analysis Assistant I performs quality control, reviews genetic sequencing data to determine variant identity based on HGVS standards, orders variant confirmations, and monitors the status of clinical cases. 

KEY RESPONSIBILITES 

  • 25%: quality control review of clinical samples and NGS data 
  • 50%: analyzing clinical genomics data, including variant identity using HGVS standards, variant checking in IGV, trinucleotide repeat analysis, and ordering confirmation testing 
  • 25%: case tracking and turnaround time monitoring  

QUALIFICATIONS 

Required 

  • Bachelor of Science (BS) in Genetics or related field. Desired: Master’s, PhD, MD, and/or MB(ASCP).  
  • Experience in bioinformatics analysis, variant effect prediction algorithms, and scripting languages 

COMPETENCIES 

  • Familiarity with concepts of genetics data analysis 
  • Expertise in concepts of clinical medicine, genetics, genomics, or molecular biology. 
  • Experience in data quality assessment and communicating genetic details effectively.  
  • Excellence in reading/writing medical language.  
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint, Outlook). 

 PHYSICAL DEMANDS AND WORK ENVIRONMENT 

  • Frequently required to sit, using screen, keyboard, and mouse. 
  • Punctuality attending virtual meetings 
  • Occasional weekend rotation may be needed (for example, once a month)

EEO STATEMENT

Baylor Genetics is proud to be an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome and encourage applicants from all backgrounds to apply. We do not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, pregnancy, childbirth, or any other status protected by applicable federal, state, or local law. If you need an accommodation during the application process, please contact our Human Resources team.