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Data Analyst Python Sql Jobs in Spring, TX (NOW HIRING)

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 ...

This role will have the opportunity to interface directly with our traders, analysts, researchers ... Oracle / PL SQL development experience including stored procedures * Strong understanding of object ...

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

... Python, SQL, and common data science libraries (numpy, pandas, scipy, scikit-learn). • Hands-on ... analytical skills • Ability to communicate well with other members of the development team ...

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

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 Analyst

Houston, TX · On-site

$60K - $75K/yr

Support regional planning efforts through advanced land use modeling, data analysis, and ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site ... Working knowledge of SQL for basic querying and data exploration * Experience following or ...

Strong proficiency in Excel required; experience with SQL, Python, or other data management tools ... Strong analytical and problem-solving skills with exceptional attention to detail * Excellent ...

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

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$30.3K

$73.5K

$121K

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

As of Jul 17, 2026, the average yearly pay for data analyst python sql in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 Spring, TX? For Data Analyst Python Sql jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Spring, TX look for? The top searched job categories for Data Analyst Python Sql jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Analyst Python Sql jobs? Cities near Spring, TX with the most Data Analyst Python Sql job openings:
Data Analyst II

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Sagis Diagnostics is an entirely physician-led sub-specialty pathology group supported by a CAP-accredited histology lab located in the heart of Houston, Texas. Led by a team of board-certified pathologists, our lab is at the forefront of diagnostic science. We offer the highest quality services to physicians, physician groups, ambulatory surgery centers, and hospitals.

One of our many strengths is we develop strong collaborative relationships with each of our referring physicians by offering accurate, prompt, and clear diagnoses in a personal and customized manner.

Position Overview-  Onsite in Houston, TX 77092


Sagis seeks a motivated Data Analyst II to support the needs of our Revenue Cycle Management, Financial, and Accounting Departments. You'll report to the Director of Data Architecture within the Innovation Team, but daily you will work closely with our financial analyst and RCM teams to deliver data-driven insights.

The ideal candidate will have solid data analysis skills, be eager to learn the healthcare revenue cycle, and be able to work independently or as part of a team.

Educational Requirements

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or Business 
  • With 2-5 years of work-related experience

Key Responsibilities
Data Extraction and Analysis

  • Extract and analyze data from our healthcare operations and billing databases to support performance tracking 
  • Create queries and build visualizations using business intelligence tools (Zoho Analytics, Power BI, or DataBricks) to help identify trends in key metrics like charges, payments, denial rates, and DSO 
  • Support senior analysts in complex data analysis projects

Reporting and Documentation

  • Develop standard reports and maintain existing dashboards that track operations and revenue cycle performance 
  • Document data processes and maintain report specifications for team reference 
  • Assist in preparing presentations for leadership on key findings and recommendations

Process Support and Improvement

  • Work with all departments to gather requirements and understand data needs 
  • Assist in implementing solutions to improve workflows and revenue performance 

Compliance and Quality Assurance

  • Help monitor data quality and flag potential compliance issues 
  • Support efforts to ensure accurate lab and RCM practices through data validation 
  • Assist with regulatory reporting requirements

Team Collaboration

  • Work with billing staff, coding specialists, and other departments to understand their reporting needs 
  • Provide support to operational teams in understanding and using reports 
  • Collaborate with senior analysts on larger analytical projects
     

Technical Skills

  • Strong, demonstrable SQL skills - required (writing complex joins, CTEs, and aggregations against relational databases). Python or R is a plus. 
  • Experience with Zoho Analytics and/or Databricks is a huge plus (we use both heavily); experience with Power BI is also a plus. 
  • Experience with Microsoft Business Central is a strong plus (the Finance and Accounting team is adopting it). 
  • Understanding of relational databases and basic database concepts 
  • Advanced Excel skills - required (pivot tables, complex formulas, lookups, and financial modeling)
  • Healthcare Knowledge (Preferred but not required)
  • Basic understanding of healthcare revenue cycle concepts 

Analytical Skills

  • Strong problem-solving abilities and attention to detail 
  • Ability to work with large datasets and identify meaningful patterns 
  • Capability to learn new systems and processes quickly

Communication Skills

  • Good written and verbal communication skills 
  • Ability to explain technical concepts to non-technical users 
  • Comfortable asking questions and seeking clarification when needed
  • Success Indicators
  • Self-motivated with strong organizational skills 
  • Ability to manage multiple assignments and meet deadlines 
  • Eager to learn and grow within the healthcare analytics field 
  • Team player who takes initiative on assigned tasks 
  • Detail-oriented with a focus on accuracy 
  • Comfortable working in a fast-paced environment

At Sagis, we offer:

  • Medical, Dental, and Vision Insurance
  • Company-Paid Short-term and Long-term Disability, Basic Life, EAP
  • Voluntary Accident/Critical Illness/Life insurance
  • Fair Wages
  • 401(k) Contribution
  • Vacation
  • Paid Parental Leave
  • Floating Holidays
  • Scheduled Holidays
  • Comfortable work environment
  • Wellness Initiatives
  • Tuition Assistance
  • Job Training/Career Development
  • Great Team Leaders

Sagis Diagnostics is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.