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Data Analyst Python Sql Jobs in Texas (NOW HIRING)

You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

Data Analyst

Fort Worth, TX · On-site

$92K - $166K/yr

Write efficient SQL queries to retrieve, manipulate, and analyze large datasets. * Develop Python-based data analysis workflows for data exploration, modeling, and reporting. * Perform exploratory ...

Data Analyst

Fort Worth, TX · Hybrid

$92K - $166K/yr

Write efficient SQL queries to retrieve, manipulate, and analyze large datasets. * Develop Python-based data analysis workflows for data exploration, modeling, and reporting. * Perform exploratory ...

... Python, including writing scripts for data processing or automation • Working knowledge of SQL ... LP Analyst is the source for independent advisory and analysis solutions for the private equity ...

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days ... Strong SQL querying experience; exposure to R or Python is a plus. * 1+ year of front-end ...

Data Analyst

Midland, TX · On-site

$61.60 - $70.84/hr

Job Title: Data Analyst Our Vision: RigUp is where the best workers power the world's most ... SQL, Databricks, Python * Visualization & Reporting: Power BI * Oil & Gas Systems: WellView

You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy ... Data Science Expertise: * Statistical Analysis: Understanding of A/B testing (experimentation ...

Write and optimize SQL queries to pull and shape data independently. * Perform analysis in Excel and Python to identify trends, patterns, and actionable insights. * Translate analysis into clear ...

... Strong experience with SQL for data extraction and manipulation. 10 Required Experience ... Python. 1 Preferred Experience applying responsible AI practices and compliance with agency ...

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Data Analyst

Dallas, TX · On-site

$65K - $84K/yr

... Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation * 1+ years of experience with application of AI Tools: GitHub ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

Senior Data Analyst

San Antonio, TX · On-site

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

Senior Data Analyst

San Antonio, TX

$77K - $97K/yr

The Senior Data Analyst will leverage AWS, Snowflake, Fivetran, DBT, and various BI Tools to manage ... Proficient in various data specific coding languages (Python, SQL, Jinja, etc.) * Able to make ...

Technical Skills Skills Requirements: • Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. • Knowledge of statistical analysis techniques such as ...

... documented SQL, groom data backlogs, lead refinement sessions with stakeholders, and actively ... Proficiency in Python or R for analysis and automation is a plus. • Strong instincts for ...

Showing results 21-40

Data Analyst Python Sql information

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What cities in Texas are hiring for Data Analyst Python Sql jobs? Cities in Texas with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Entry Level Data Analyst

Meds

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Meds.com is a rapidly growing consumer technology firm operating a suite of healthcare businesses, including our flagship brand BlueChew. Our mission is to better patients' lives through innovative healthcare solutions. With a team of 350 professionals across various specialties, we've built scalable pharmacy, telemedicine, and e-commerce platforms using cutting-edge technology. As we continue our accelerated growth trajectory, we're launching new products to expand our patient base and accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology.
We are looking for a Data Analyst who thinks like a scientist. You won't just be building dashboards; you will be digging into the "why" behind our growth. You will help us optimize our subscription models, predict customer churn, and refine our marketing spend using both traditional SQL analysis and statistical modeling.
This is for recent grads or soon to be graduates only (Grad Dates : May 2026 - December 2026) who are looking to flex their Data Science muscles.
Join our team in Austin, TX - we're looking for someone who truly values and enjoys working in the office, not just tolerates it.
Responsibilities
  • Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer behavior, LTV (Lifetime Value), and retention.

  • Predictive Modeling: Build and maintain basic machine learning models (Regression, Random Forest, etc.) to forecast inventory needs and subscription health.

  • A/B Testing & Experimentation: Design and analyze rigorous experiments for our web platform and marketing funnels to ensure we are making data-driven product decisions.

  • Data Storytelling: Translate complex statistical findings into actionable "executive summaries" for our marketing and operations teams.

  • Self-Service Tooling: Build and optimize Looker/Tableau dashboards that empower non-technical team members to answer their own data questions.

  • Data Integrity: Partner with Data Engineering to ensure our "Source of Truth" remains accurate as we scale our data warehouse (Snowflake/BigQuery).

What We're Looking For
  • The Essentials: 3+ years of experience in a data-heavy role. You are a SQL expert and highly proficient in Python (specifically Pandas, Scikit-learn, and NumPy).

  • The "Science" Bit: Strong grasp of statistics (probability distributions, hypothesis testing, and regression analysis).

  • The "Analyst" Bit: Experience with BI tools like Tableau, Looker, or Sigma. You know how to make data look as good as it performs.

  • Product Intuition: You don't just pull data; you understand the business levers of a subscription-based telemedicine company.

  • Bonus Points: Experience with dbt (data build tool), Airflow, or specialized experience in the healthcare/pharmacy space.

Tech Stack
  • Data Warehouse: Snowflake / BigQuery

  • Languages: SQL, Python (primary), R (secondary)

  • Visualization: Tableau / Looker

  • Transformation: dbt

  • Environment: Dockerized development, Git-based version control

Qualifications
Education:
  • Bachelor's degree (or in progress) in a quantitative field (Statistics, Data Analytics, Computer Science, Economics, or Mathematics). A Master's degree is preferred.

Technical Requirements:
  • SQL Mastery: You must be highly proficient in SQL for querying large datasets, joining complex tables, and data cleaning.

  • Programming (Python/R): Proficiency in Python (Pandas, NumPy) or R for statistical analysis and automation is standard.

  • Data Visualization: Experience with Tableau, Looker (LookML), or Power BI to create dashboards that tell a story to non-technical stakeholders.

  • Excel: Advanced skills (Pivot Tables, Power Query, complex formulas) for quick ad-hoc analysis.

Data Science Expertise:
  • Statistical Analysis: Understanding of A/B testing (experimentation), hypothesis testing, and regression models.

  • Predictive Modeling: Ability to build basic models for Customer Lifetime Value (LTV), Churn Prediction, or Inventory Forecasting.

  • Machine Learning Basics: Familiarity with supervised learning algorithms (like Random Forests or Logistic Regression).

Business & Domain Knowledge:
  • Subscription Metrics: Deep understanding of SaaS/Subscription KPIs like MRR (Monthly Recurring Revenue), Churn Rate, and CAC (Customer Acquisition Cost).

  • Marketing Analytics: Experience analyzing funnel conversion, attribution models, and digital ad performance (Google/Meta ads).

  • Regulatory Awareness: Familiarity with HIPAA or general healthcare data security is a significant plus given their telemedicine nature.

Perks
  • 100% company-paid Medical, Dental, Vision premium coverage,plus Short-Term Disability and Life Insurance.

  • 401K with company match.

  • Paid time off and company-paid holidays

  • Enjoy free daily lunch

We are looking for top talent that wants to make a measurable impact in an exciting, fast-paced environment in our Austin, TX office (fully onsite).
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