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Data Analyst Python Sql Jobs in Reading, PA (NOW HIRING)

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Build and optimize SQL queries, ETL processes, and data transformation workflows * Develop analytics solutions using Python and PySpark * Support data pipeline design, validation, and governance ...

Amazon.com Services LLC

Data Analyst, ReLo

Reading, PA · On-site

... advanced SQL, Python, Tableau - Experience using data to drive root cause elimination and process improvement PREFERRED QUALIFICATIONS- 2+ years of Microsoft Office products and applications ...

Danaher

Digital Analyst Internships

Reading, PA · On-site

$94K - $111K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Broadcom

MES Software Engineer/Data Analyst

Breinigsville, PA · On-site

$108K - $130K/yr

Collaborate with data science and AI teams to integrate predictive analytics, machine learning, and ... Programming experience in SQL, Python, C#, JavaScript, .NET * Knowledge of REST APIs, OPC UA, MQTT ...

Valco Companies

SQL Developer & Analyst

New Holland, PA · On-site

$70K - $80K/yr

This role exists to translate business needs into well-structured data, applications, and insights ... as a SQL Developer or Business Analyst (manufacturing preferred) - SQL, Microsoft SQL Server ...

Valco Companies

SQL Developer & Analyst

New Holland, PA · On-site

$70K - $80K/yr

This role exists to translate business needs into well-structured data, applications, and insights ... as a SQL Developer or Business Analyst (manufacturing preferred) - SQL, Microsoft SQL Server ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $58/hr

Build and optimize SQL queries, ETL processes, and data transformation workflows * Develop analytics solutions using Python and PySpark * Support data pipeline design, validation, and governance ...

Mondo

Senior Maintenance Analyst

Reading, PA · On-site

$55 - $70/hr

Build and optimize SQL queries, ETL processes, and data transformation workflows * Develop analytics solutions using Python and PySpark * Support data pipeline design, validation, and governance ...

Phytogenx Incorporated

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

Foundational knowledge of machine learning concepts and data analysis. * Experience with Python, SQL, AI frameworks, computer vision tools, visualization software, or automation platforms is a plus.

Saransh Inc

Data Architect (DWH)

Reading, PA · On-site

$61.25 - $78.75/hr

... analytical environments • Expertise with Data Engineering/Big data tools such as Python, PySpark, Kafka, API's, Talend and BODS, etc. • Expertise with relational SQL and NoSQL databases • ...

FocusKPI

Marketing Operations Analyst

Reading, PA · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Reading, PA

Data Analyst Python Sql information

See Reading, PA salary details

$32.7K

$79.4K

$130.6K

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

As of Jul 27, 2026, the average yearly pay for data analyst python sql in Reading, PA is $79,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $93,200.00 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 job categories do people searching Data Analyst Python Sql jobs in Reading, PA look for? The top searched job categories for Data Analyst Python Sql jobs in Reading, PA are:
What cities near Reading, PA are hiring for Data Analyst Python Sql jobs? Cities near Reading, PA 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 Reading, PA as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 5% Part Time, and 22% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $79,363 per year, or $38.2 per hour.
Senior Maintenance Analyst

Senior Maintenance Analyst

Mondo

Reading, PA • On-site

$55 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 10 days ago

Job description

Apply now: Senior Data Analyst, location is Hybrid/Onsite. The start date is ASAP for this contract-to-hire position.

Job Title: Senior Data Analyst Location-Type: Hybrid (Reading, PA)- Onsite to start, then more of a flexible hybrid schedule Start Date Is: ASAP Duration: 6-Month Contract-to-Hire (must be able to convert without sponsorship) Compensation Range: $55-$70 per hour W2 ONLY Benefits: Eligible for Health, Dental, Vision, 401K Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Seeking a Senior Maintenance Analyst to support the development of scalable data products, analytics solutions, and reporting capabilities that drive operational decision-making across multiple business functions.

Day-to-Day Responsibilities:

  • Develop and maintain scalable, reusable data products for cross-functional business teams
  • Build and optimize SQL queries, ETL processes, and data transformation workflows
  • Develop analytics solutions using Python and PySpark
  • Support data pipeline design, validation, and governance initiatives
  • Partner with stakeholders to gather requirements and translate business needs into data solutions
  • Collaborate with data science, engineering, and reporting teams to deliver standardized data products
  • Evaluate and recommend appropriate technologies based on business requirements, cost, and scalability
  • Support data visualization and reporting initiatives
  • Ensure data quality, integrity, and governance standards are maintained
  • Analyze large-scale datasets and provide actionable business insights

Minimum Requirements:

  • 3-5 years of data analytics, data engineering, or related experience
  • Expert-level SQL skills including joins, CTEs, window functions, and complex query development
  • Experience with ETL processes and data cleansing
  • Strong Python development experience
  • Experience developing solutions using PySpark
  • AWS cloud services experience
  • Experience working with large datasets and enterprise-scale data environments
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Ability to work independently and take ownership of projects

Preferred Qualifications:

  • Experience with Tableau, Qlik Sense, or similar visualization tools
  • Experience with SQL Server, Oracle, IBM DB2, or related databases
  • Power Platform experience
  • Exposure to data science, forecasting, or predictive analytics initiatives
  • Knowledge of geospatial analysis or ESRI/ArcGIS concepts
  • Experience supporting cloud and on-premises data ecosystems