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Data Analyst Jobs in Georgetown, TX (NOW HIRING)

Data Analyst

Austin, TX · On-site

$40 - $50/hr

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 ...

Data Analyst

Austin, TX · On-site

$75K/yr

We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate ...

We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate ...

As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data ...

Data Analyst

Austin, TX · On-site

$26 - $35/hr

We are looking for a Data Analyst to join a healthcare organization in Austin, Texas on a contract-to-permanent basis. In this role, you will turn operational data into clear insights that help ...

About the Role We are seeking an experienced, detail-minded data analyst consultant to join our global business development and strategy team. In this role, you will be embedded at Monks, serving as ...

Develop and maintain data analytics solutions focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. Develop and maintain ...

Data Analyst

Austin, TX · Hybrid

$90K - $120K/yr

About the Role We are seeking an experienced, detail-minded data analyst consultant to join our global business development and strategy team. In this role, you will be embedded at Monks, serving as ...

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Data Analyst Location: Austin, TX (Flexible / Hybrid) Reporting to: Director, GTM About Hippo: Hippo was built on a promise: make homeownership effortless. Nearly a decade later, that mission still ...

* Use multiple vendor programs to query and extract data for analysis * Maintain datasets using Oracle/SQL * Integrate automation, ETL/ELT of data, and perform exception handling * Create, maintain ...

Data Analyst Location: Austin, TX (Flexible / Hybrid) Reporting to: Director, GTM About Hippo: Hippo was built on a promise: make homeownership effortless. Nearly a decade later, that mission still ...

Data Analyst

Austin, TX · On-site

$77K - $114K/yr

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We continually strive to better ...

Use multiple vendor programs to query and extract data for analysis Maintain datasets using Oracle/SQL Integrate automation, ETL/ELT of data, and perform exception handling Create, maintain, and ...

New

Data Analyst

Austin, TX · On-site +1

$70K - $75K/yr

Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Austin, TX. (Hybrid: Monday, Wednesday, Friday in-office); Open to considering Atlanta, GA or Denver, CO.

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Data Analyst information

See Georgetown, TX salary details

$31.6K

$76.8K

$126.4K

How much do data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analyst in Georgetown, TX is $76,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Georgetown, TX? The most popular types of Data Analyst jobs in Georgetown, TX are:
What job categories do people searching Data Analyst jobs in Georgetown, TX look for? The top searched job categories for Data Analyst jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Data Analyst jobs? Cities near Georgetown, TX with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Georgetown, TX as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 76% In-person, 8% Hybrid, and 16% Remote job distribution, with an average salary of $76,783 per year, or $36.9 per hour.
Data Analyst

$40 - $50/hr

Contractor

Medical, Dental, Retirement

Posted 13 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.
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