ZipRecruiter

Log In

1

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

KIPP

Data Analyst

Houston, TX · Hybrid

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 ...

KIPP Texas Public Schools

Data Analyst

Houston, TX · Hybrid

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 ...

New

IES Holdings, Inc.

Data Analyst IV

Sugar Land, TX · On-site

Extract, clean, and transform data from multiple sources including SQL Server, Azure, APIs, and ... Analytics Delivery & Visualization * Design and deliver dashboards and reports for executive ...

Sphere

Data Analyst (Spring, TX)

Spring, TX · On-site

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 ...

Houston-Galveston Area Council

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 ...

KIPP

Data Analyst

Houston, TX · Hybrid

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 ...

KIPP

Data Analyst

Houston, TX · On-site

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 ...

Saransh Inc

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 ...

Gunvor

Power Analyst

Houston, TX · On-site

Power Analyst Contract Type: Permanent Time Type: Full time ROLE OVERVIEW The Power Analyst ... Python, SQL, R, MATLAB, or C++. Familiarity with YES Energy, ISO portals, or market data platforms ...

Gunvor

Power Analyst

Houston, TX

Power Analyst Contract Type: Permanent Time Type: Full time ROLE OVERVIEW The Power Analyst ... Python, SQL, R, MATLAB, or C++. Familiarity with YES Energy, ISO portals, or market data platforms ...

Vitol

Python Data Engineer

Houston, TX · On-site

... analytical capabilities, working closely with traders, analysts, and data scientists ... etc. • Oracle / PL SQL development experience including stored procedures • Strong ...

previous page

Showing results 41-60

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Cypress, TX

Data Analyst Python Sql information

See Cypress, TX salary details

$29.3K

$71.2K

$117.1K

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

As of Aug 8, 2026, the average yearly pay for data analyst python sql in Cypress, TX is $71,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $83,600.00 per year, depending on experience, location, and employer.

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 job categories do people searching Data Analyst Python Sql jobs in Cypress, TX look for? The top searched job categories for Data Analyst Python Sql jobs in Cypress, TX are:
What cities near Cypress, TX are hiring for Data Analyst Python Sql jobs? Cities near Cypress, TX with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Cypress, 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 $71,183 per year, or $34.2 per hour.

Analyst, Lead Data Engineering

Enterprise Products Partners L.P.

Houston, TX

Full-time

Re-posted 12 days ago

Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

1st of 53 rated energy and utility

Job description

Tap into the professional possibilities of the largest publicly traded energy partnership that features one of the most diversified cash flow streams in the midstream segment of the energy industry. With dynamic career opportunities and a creative and supportive environment, our unique midstream energy organization offers the chance to share and be recognized for your ideas.  Join our team and increase your opportunities for success.

We are currently seeking an experienced Data Engineer to join the Big Dat and Advanced Analytics department. The Data Engineer will work closely with business domain experts to create an Enterprise Data Lakehouse to support data analytic use cases for the midstream oil and gas operations, engineering, and measurements business units.  Responsibilities include, but are not limited to:

  • Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse.
  • Design and implement data quality pipelines to ensure data correctness and building trusted datasets.
  • Design and implement a Data Lakehouse solution which accurately reflects business operations.
  • Assist with data platform performance tuning and physical data model support including partitioning and compaction.
  • Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives.
  • Automate and optimize the data lifecycle, find insights from raw data, and applying DevOps principle to data pipelines.
  • Work with business leaders to deliver custom software solutions meeting data needs.
  • Build and support a data platform for data engineering teams to build, deploy and manage applications.

The successful candidate will meet the following qualifications:

  • 5 years of experience as a Data Engineer designing and maintaining data pipeline architectures.
  • 5 years of in-depth programming experience in Python and SQL.
  • 5 years in software development lifecycle experience with software engineering, development, testing, version control, refactoring, and deployment.
  • Experience with common Python Data Engineering packages including pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3.
  • Experience in implementing a Data Lakehouse using Apache Iceberg or Delta Lake.
  • Experience with data platform architecture responsible for high-level design, strategy and implementation of data infrastructure, including data modelling, designing scalable architectures and ensuring data governance, security and compliance.
  • Knowledgeable of modern data platform technologies including Apache Airflow, Kubernetes, and S3 Object Storage.
  • Experience with AWS, Snowflake, dbt and Airbyte is preferred.
  • Experience with infrastructure as code, building consistent and repeatable cloud infrastructure.
     

What Enterprise Products employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply