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Data Analyst Python Sql Jobs in The Woodlands, TX

Analyze member, financial, and operational data from core banking (DB2) and SQL Server systems to identify trends, patterns, and opportunities that support credit union decision-making. Design, build ...

Strong, demonstrable SQL skills - required (writing complex joins, CTEs, and aggregations against ... Python or R is a plus. * Experience with Zoho Analytics and/or Databricks is a huge plus (we use ...

... SQL, data visualization tools (e.g., Power BI or Tableau), and/or programming languages used for data analysis (e.g., Python or R). • Exposure to data analysis through coursework, internships ...

Ideal Background: * 5-10 years of experience in data engineering, analytics, or data science. * Strong programming skills (Python, SQL, R), with experience in big data tools (Spark, Airflow) and BI ...

Data Reporting * Execute complex ad-hoc data requests using SQL and other query languages to ... Strong background in statistical analysis required, with proficiency in Python or R * Mastery of ...

Data Reporting * Execute complex ad-hoc data requests using SQL and other query languages to ... Strong background in statistical analysis required, with proficiency in Python or R * Mastery of ...

Data Reporting * Execute complex ad-hoc data requests using SQL and other query languages to ... Strong background in statistical analysis required, with proficiency in Python or R * Mastery of ...

Python Lead (Python + Oracle, PL/SQL)

Houston, TX · On-site

$133K - $164K/yr

Role: Python Lead (Python+ Oracle, Pl/sql) Location: Houston, TX (Onsite from Day 1) Job Type ... Covering data modeling, query optimization, and transaction management. *Champions DevOps and CI/CD ...

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Data Analyst Python Sql information

See The Woodlands, TX salary details

$30.4K

$73.8K

$121.5K

How much do data analyst python sql jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst python sql in The Woodlands, TX is $73,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,600.00 per year, depending on experience, location, and employer.

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 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.

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 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 are popular job titles related to Data Analyst Python Sql jobs in The Woodlands, TX?

For Data Analyst Python Sql jobs in The Woodlands, TX, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in The Woodlands, TX look for?

The top searched job categories for Data Analyst Python Sql jobs in The Woodlands, TX are:

What cities near The Woodlands, TX are hiring for Data Analyst Python Sql jobs?

Cities near The Woodlands, TX with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in The Woodlands, 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,816 per year, or $35.5 per hour.

Full-time

Re-posted 13 days ago


Job description

Role:

The Data Analyst aggregates data into decision-ready insights for leadership and executives enabling well-informed business decisions. Working within the Data Operations Department, the Data Analyst collects and analyzes data from core banking, lending, and member-facing systems - sales figures, market and member research, operational metrics, and more. This role partners closely with Data Engineering on data pipelines and warehouse structures, and increasingly supports the credit union's on-premises analytics initiatives by ensuring the underlying data is clean, well-documented, and trustworthy.

Essential Functions & Responsibilities:

Analyze member, financial, and operational data from core banking (DB2) and SQL Server systems to identify trends, patterns, and opportunities that support credit union decision-making.

Design, build, and maintain reports and dashboards (Power BI, Excel, SQL-based reporting) that translate raw data into clear, actionable insights for business stakeholders.

Partner with the Data Engineering and Data Operations team to define reporting requirements, validate data warehouse outputs, and ensure data accuracy across source systems.

Document data definitions, business rules, and key metrics; maintain a consistent, well-understood data dictionary to support self-service reporting across the credit union.

Perform other job duties as assigned, including ad hoc analysis in support of regulatory, audit, and operational requests.

Performance Measurements:

  1. Create intelligent, informative written and visual reports or dashboards that stakeholders can act on.
  2. Identifies and implements key measurements used in the day-to-day management of the credit union.
  3. Maintains accurate, well-documented data definitions and reporting logic.
  4. Ability to analyze data efficiently and accurately at a high level.

Knowledge and Skills:

Experience: Three years to five years of similar or related experience.

Education: (1) A bachelor's degree, or (2) achievement of formal certifications recognized in the industry as equivalent to a bachelor's degree (e.g., information technology certifications in lieu of a degree).

Interpersonal Skills: Work involves much personal contact with others inside and/or outside the organization for the purpose of first-level conflict resolution, building relationships, and soliciting cooperation. Discussions involve a higher degree of confidentiality and discretion, requiring diplomacy and tact in communication.

Other Skills:

  • A high knowledge of mathematical and analytical ability
  • Report writing 
  • The ability to analyze, model and interpret data
  • Problem-solving skills
  • Accuracy and attention to detail
  • Knowledge of data profiling and proven experience in data mining, collation and dashboard creation
  • Strong, professional written and verbal communication skills with the ability to work with all levels within the credit union; confidence in your ability to anticipate what is needed; flexibility and ability to us initiative
  • Strong analytical skills with proven experience of managing/ handling data
  • A wealth of data management experience and working knowledge of reporting universe structures and processes
  • Advanced skills in presentation of data
  • Working knowledge of relational databases and how they are manipulated
  • Experience in using statistical techniques in a credit union environment
  • Ideally the experience or ability to learn SQL or JAVA
  • Excellent time management and organization skills and be able to deliver deadlines
  • Good understanding of business drivers and service standards and have a proactive approach to service improvement
  • Personable, positive and resilient creative thinker 
  • Team Player with strong work ethic
  • A 'can-do' attitude and high degree of energy and focus on engaging with new ideas
  • Pragmatic approach to problem solving and ability to use initiative as appropriate 
  • Friendly, confident and positive person who remains calm and professional under pressure 
  • Must be able to work flexibly to meet the needs of the business
  • Excellent skills in Microsoft Office, in particular Excel (formulas, data capture and pivot tables), and in-depth knowledge of integrated business and accounting systems
  • Any other duties that may be required from time to time for the smooth running of the credit union