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Data Analyst Python Sql Jobs in Texas (NOW HIRING)

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis * Assess the quantitative and qualitative impacts of possible actions based on your insight, taking ...

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Leverage your SQL/Python coding skills to pull and organize data that is needed for your analysis * Assess the quantitative and qualitative impacts of possible actions based on your insight, taking ...

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Senior Python Software Engineer - SQL & Generative AI Location: Austin, TX - Onsite Role Job Type ... Collaborate with product managers, data engineers, and cross-functional teams to deliver high ...

Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to ... Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.

Partner with Engineering, Data Science, and other teams to identify and use the data needed to ... Proficiency in either SQL, Python, or R conducting complex analyses on large datasets * Working ...

Experience working with python or R * Proficiency in Excel, Word, and PowerPoint * Time management ... Experience with SQL or equivalent academic experience is a plus * Experience with Tableau is a plus

Product Data Analyst

Roanoke, TX · On-site

$40 - $44/hr

Product Data Analyst Location : Westlake, TX (Hybrid) Pay Range: $40/hr - $44/hr on W2 Duration: 12 ... Python, and PL/SQL. * Apply knowledge of dimensional, relational, and unstructured data modeling ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Showing results 41-60

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.

Data Analyst Senior/Business Analyst Senior - Data and Automation (SQL, Python, Data Quality, AI ...

PNC Bank

Dallas, TX • On-site

$85K - $107K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Analyst Senior within PNC's Data and Automation organization, you will be based in Dallas-TX or Strongsville-OH.
Support regularly occurring data provisioning for Commercial model monitoring, model development, third parties, and other analytics.
Work closely with data scientists, model analytics management, and downstream consumers to understand and fulfill evolving data requirements.
Support onboarding and validation of new data domains (e.g., Marketing) into enterprise analytics environments (e.g., ACZ Bronze), including coverage analysis, reconciliation, and readiness assessment.
Perform handson data validation and user acceptance testing (UAT) to ensure datasets are complete, accurate, wellunderstood, and fit for use by modeling and analytics stakeholders.
Support acquisitionrelated data efforts (e.g., historical data ingestion, pointintime and fullhistory datasets) and contribute to repeatable frameworks that can be applied to future acquisitions.
Streamline and refactor existing code using best practices in SQL and Python to enhance performance, scalability, and maintainability across platforms.
Translate and modernize legacy data processes (e.g., SASbased workflows) into cloud and bigdatanative solutions (e.g., SQL, PySpark), including effective use of AIassisted tooling to accelerate and validate code translation.
Develop new scripts and processes to automate repetitive tasks, reduce manual effort, and improve testing and validation efficiency.
Conduct thorough data quality assessments and clearly articulate data anomalies, risks, and constraints to management and data consumers using rootcause analysis and trend reporting.
Partner with stakeholders to resolve data quality issues and implement preventative controls to reduce recurrence.
Adhere to change management practices to ensure that all code and process changes are reviewed, tested, documented, and approved prior to implementation.
Track and document changes to data processes, validation results, and decisions to support auditability, transparency, and knowledge transfer.
Occasionally participate in scrum or agile development teams, supporting Enterprise Data Management and analytics initiatives through planning, development, testing, and delivery activities.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards.
  • Advises end-users on data manipulation, end-user support systems and statistical analysis.
  • Selects new information sources and acquires stock. Catalogs and indexes new materials.
  • Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses.
  • Researches customers needs, conducts awareness and promotional sessions for potential customers.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), Structured Query Language (SQL)CompetenciesApplication Design, Architecture, Business Intelligence, Data Architecture, Data Mining, Emerging Technologies, Informatics/Information Sciences, Information Management, IT Environment, Modeling: Data, Process, Events, Objects, Requirements AnalysisWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $75,000.00 - $150,000.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 06/15/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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