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Data Analytics Jobs in Austin, TX (NOW HIRING)

Data Analyst

Austin, TX ยท On-site

$40 - $50/hr

Required Qualifications: * 3+ years of experience in Data Analytics, Business Intelligence, or a related field. * Strong experience performing both ad hoc (70%) and recurring (30%) data analysis.

Data Analyst (Statewide)

Austin, TX ยท On-site

$4.8K/mo

... analytics needs. -Interpret results to identify significant differences in data. -Assist in identifying and interpreting data patterns and trends and assessing data quality. -Assist with the ...

Data Analyst

Austin, TX ยท On-site

$77K - $114K/yr

As a part of this vision, Zynga Analytics partners with studios to release and grow multiple games, while also owning the analytics stack and central tools. Zynga's Data Science and Analytics team ...

Data Analyst (Austin)

Austin, TX ยท On-site

$5.1K - $5.4K/mo

YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance ...

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Data Storytelling: Translate complex statistical findings into actionable "executive summaries" for ...

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Data Storytelling: Translate complex statistical findings into actionable "executive summaries" for ...

Showing results 21-40

Data Analytics information

See Austin, TX salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Austin, TX is $54.25, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.44 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Austin, TX? The most popular types of Data Analytics jobs in Austin, TX are:
What are popular job titles related to Data Analytics jobs in Austin, TX? For Data Analytics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Austin, TX look for? The top searched job categories for Data Analytics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Analytics jobs? Cities near Austin, TX with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,845 per year, or $54.3 per hour.

Data Analyst

Solomon Page

Austin, TX โ€ข On-site

$40 - $50/hr

Contractor

Medical, Dental, Retirement

Posted 24 days ago


Job description

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard development initiatives. This role requires strong analytical skills with expertise in SQL, Python, and Tableau to transform data into meaningful business insights. The ideal candidate will work closely with stakeholders to create new dashboards, maintain existing reporting solutions, and perform both recurring and ad hoc analysis to support strategic business decisions.
  • Location: Austin, TX (Hybrid)
  • Contract Duration: 12+ Months
  • Rate Range: $40-50/hr on W2

Responsibilities:
  • Perform complex ad hoc and recurring data analysis to support business and management requests.
  • Design, develop, and maintain interactive dashboards using Tableau (preferred) or similar BI tools.
  • Write complex SQL queries to extract, transform, and analyze data from multiple sources.
  • Develop Python-based analytical solutions for data processing and automation.
  • Evaluate data quality and identify opportunities to improve reporting accuracy and consistency.
  • Create methodologies for collecting, analyzing, and presenting business data.
  • Produce reports and presentations that communicate actionable insights to business stakeholders.
  • Research new data sources and analytical techniques to enhance reporting capabilities.
  • Collaborate with cross-functional teams to understand reporting requirements and deliver timely solutions.
  • Identify process improvement opportunities and contribute to data-driven decision-making.

Required Qualifications:
  • 3+ years of experience in Data Analytics, Business Intelligence, or a related field.
  • Strong experience performing both ad hoc (70%) and recurring (30%) data analysis.
  • Hands-on expertise in SQL for complex data extraction and analysis.
  • Proficiency in Python for data analysis and automation.
  • Experience developing and maintaining dashboards using Tableau (preferred) or similar visualization tools.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to interpret business requirements and translate them into meaningful data solutions.
  • Experience working with large datasets and ensuring data quality.

Required Skills:
  • SQL
  • Python
  • Tableau (Preferred)
  • Dashboard Development & Maintenance
  • Ad Hoc & Recurring Data Analysis
  • Data Visualization
  • Reporting & Analytics
  • Data Quality Assessment
  • Business Intelligence
  • Data Interpretation

Technical Skills:
  • SQL
  • Python
  • Tableau
  • Excel
  • Data Analysis
  • Reporting & Dashboarding
  • Data Visualization
  • ETL/Data Processing Concepts

Preferred Qualifications:
  • Experience with enterprise BI environments.
  • Exposure to statistical analysis or predictive analytics.
  • Experience supporting product, operations, or customer analytics.
  • Knowledge of modern data platforms and cloud-based analytics tools is a plus.

Additional Information
  • Hybrid role based in Austin, TX.
  • Focus will be approximately 70% ad hoc analysis and 30% recurring reporting.
  • Strong communication skills are essential for presenting findings to technical and business stakeholders.

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.
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