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

Write and optimize SQL queries to extract, structure, and prepare data for reporting, dashboarding, and analysis. * Assist in 80/20 segmentation analysis across products, customers, markets, or other ...

Data Engineer

Mercedes, TX

$107K - $129K/yr

You'll partner closely with analysts and stakeholders to turn questions into durable data products ... SQL, or equivalent) * Proficiency in Python development for data engineering use cases (pandas ...

SQL Tutor

Edinburg, TX · Remote

$40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deposit Quality Control Analyst

Mcallen, TX · On-site

$22.75 - $30.75/hr

Ability to create and interpret QA dashboards, reports, SQL, and performance metrics using data analysis tools. * Skilled in using AI enabled review tools for documentation, error detection, and ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

... analytics. * Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Data Analyst Python Sql information

See McAllen, TX salary details

$32.3K

$78.5K

$129.2K

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

As of Jun 11, 2026, the average yearly pay for data analyst python sql in McAllen, TX is $78,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 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 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.

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.

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 McAllen, TX? For Data Analyst Python Sql jobs in McAllen, TX, the most frequently searched job titles are:
What cities near McAllen, TX are hiring for Data Analyst Python Sql jobs? Cities near McAllen, TX with the most Data Analyst Python Sql job openings:

80/20 Data Analyst

Xylem

Chihuahua, TX • On-site

Full-time

Posted yesterday


Xylem rating

7.3

Company rating: 7.3 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

300th of 518 rated manufacturers


Job description

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

. Essential Duties / Principal Responsibilities

  • Support the MCS Business Operations team in executing analytics tied to 80/20 transformation, growth initiatives, and operational productivity.
  • Collect, organize, validate, and analyze data from multiple sources to support leadership decision-making and cross-functional business reviews.
  • Build, maintain, and enhance Power BI dashboards and recurring reports that provide visibility to key business performance indicators.
  • Write and optimize SQL queries to extract, structure, and prepare data for reporting, dashboarding, and analysis.
  • Assist in 80/20 segmentation analysis across products, customers, markets, or other dimensions to identify the critical few opportunities and simplification priorities.
  • Support KPI monitoring, variance analysis, and trend analysis to help teams understand business drivers and performance gaps.
  • Help develop clear and accurate executive-level reporting materials, including charts, summaries, and data-driven business narratives.
  • Translate complex datasets into concise insights and recommendations that can be understood and acted upon by non-technical stakeholders.
  • Partner with stakeholders across functions to clarify reporting needs, understand business questions, and deliver timely analytics support.
  • Monitor and improve data quality, reporting accuracy, and consistency in definitions, logic, and presentation.
  • Support scenario analysis and trade-off modeling to inform business prioritization and operational decision-making.
  • Identify opportunities to streamline reporting processes, simplify analysis workflows, and improve the accessibility of insights.
  • Maintain documentation for reports, metrics, assumptions, and data logic to support transparency and continuity.
  • Demonstrate strong responsiveness, professionalism, and follow-through in supporting leadership requests and routine reporting needs.

3. High-Impact Behaviors

  • Data-to-Decisions Mindset: Focuses on using data to support practical, timely, and business-relevant decisions.
  • Learning Agility: Quickly learns new business concepts, systems, and analytical methods in a dynamic environment.
  • Stakeholder Engagement: Builds productive working relationships and actively supports the needs of cross-functional partners.
  • Clear Communication: Explains complex data and analytical findings in simple, concise language tailored to the audience.
  • Action Orientation: Delivers accurate work with urgency, ownership, and attention to deadlines.
  • Analytical Curiosity: Asks thoughtful questions, investigates trends and variances, and seeks to understand root causes.
  • Collaboration: Works effectively with others, welcomes feedback, and contributes positively to team objectives.
  • Operational Rigor: Applies consistency, discipline, and attention to detail in reporting, analysis, and follow-through.
  • Continuous Improvement: Identifies opportunities to simplify reporting, improve data quality, and strengthen business insight generation.
  • Professionalism: Demonstrates reliability, integrity, sound judgment, and a customer-focused approach in all interactions.

4. Minimum Qualifications

  • Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Systems, Statistics, Engineering, or a related field.
  • 3-7 years of experience in analytics, reporting, business intelligence, finance, operations, or a related area through coursework, internships, co-ops, or professional experience.
  • Demonstrated proficiency in SQL for querying, extracting, and manipulating data.
  • Demonstrated proficiency in Power BI for dashboard development, visualization, and reporting.
  • Strong analytical and problem-solving skills with the ability to work with structured and complex datasets.
  • Ability to quickly understand business needs and synthesize data into relevant insights for decision-making.
  • Strong written and verbal communication skills, including the ability to explain data clearly to non-technical stakeholders.
  • Effective organizational skills with the ability to manage multiple tasks, priorities, and deadlines.
  • Proficiency in Microsoft Office applications, particularly Excel and PowerPoint.
  • Ability to work collaboratively in a cross-functional environment and support leadership with professionalism and responsiveness.

5. Preferred Qualifications

  • Experience with business performance reporting, KPI dashboards, or operational analytics in a corporate or manufacturing-related environment.
  • Exposure to 80/20 analysis, segmentation, profitability analysis, or business prioritization frameworks.
  • Familiarity with variance analysis, forecasting support, scenario modeling, or plan-versus-actual reporting.
  • Experience working with large datasets and multiple data sources to create business-ready reporting outputs.
  • Knowledge of data governance, data validation, or reporting controls that improve data quality and consistency.
  • Exposure to enterprise systems, reporting platforms, or data environments relevant to business operations.
  • Experience supporting leaders or cross-functional stakeholders with data-driven insights.
  • Demonstrated ability to create compelling visualizations and concise business narratives from analytical findings.

Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.


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