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

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Sr. Data Engineer

Wayne, PA · On-site

$96K - $130K/yr

Skills required would be Python, SQL, Spark, AWS Infrastructure and CI/CD Pipelines (GitHub). * ETL ... Provides data analysis guidance as required. * Designs and conducts training sessions on tools and ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Expertlevel SQL with experience building, validating, and maintaining complex queries and datasets ... Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Expert-level SQL with experience building, validating, and maintaining complex queries and datasets ... Advanced Python experience for analysis, modeling, and automation (e.g., pandas, NumPy, stats/ML ...

Opex

Data Analyst

Moorestown, NJ · On-site

$70K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Expert Python skills in data cleaning, data wrangling, and data analytics. * Familiarity with data visualization tools like Tableau. * Outstanding skills in MS Excel and PowerPoint for data ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Candidates should be highly proficient in SQL, with experience cleaning, transforming, and modeling large data sets to build sustainable data products and deliver meaningful analysis. Familiarity ...

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Data Analyst Python Sql information

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$32K

$77.9K

$128.2K

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

As of Aug 17, 2026, the average yearly pay for data analyst python sql in Lansdowne, PA is $77,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $91,400.00 per year, depending on experience, location, and employer.

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 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.

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 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 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 job categories do people searching Data Analyst Python Sql jobs in Lansdowne, PA look for?

The top searched job categories for Data Analyst Python Sql jobs in Lansdowne, PA are:

What cities near Lansdowne, PA are hiring for Data Analyst Python Sql jobs?

Cities near Lansdowne, 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 Lansdowne, PA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,887 per year, or $37.4 per hour.

Marketing Data Analyst

Kanak Elite Services Inc

Malvern, PA • On-site

Contractor

Re-posted 28 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Marketing Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : Marketing Data Analyst

Location          : Malvern, PA Hybrid

Duration         : long term contract

Responsibilities

  • Translate marketing and business needs into analytical requirements E.g., data, models required to build strategic analytical solution
  • Establish the analytical framework to successfully deliver business OKRs
  • Design a robust and streamlined data-lead strategy to drive marketing optimization at scale
  • Run BAU, proposed and other “what if” scenarios assessments to validate approach and evaluate impact
  • Design an actionable marketing operations and experimentation roadmap
  • Build consensus and influence senior stakeholders to gain confidence in analytics proposals
  • Continuously evangelize analytical and data-driven problem solving, strategic mindset & experimentation best practices across the organization

Qualifications

  • Bachelor’s degree and industry certification preferred, 8+ years’ experience and relevant skillset in the subject matter required, has extensive knowledge of subject matter and extensive knowledge of the business

Key Focus Areas:

    • The analyst will work within the Marketing Analytics team, which supports multiple business partners across various marketing functions.
    • This role involves leveraging existing data science models—developed by a separate data science team—to design, execute, and optimize marketing campaigns.
    • The analyst will focus on translating model outputs into actionable marketing strategies, helping the business understand how to use data to improve campaign effectiveness and targeting.
    • A solid understanding of marketing analytics concepts, campaign creation, and performance optimization is essential.
    • Experience with forecasting, data-driven decision-making, and campaign performance measurement will be highly valuable.

Technical Requirements:

    • Proficiency in SQL for data extraction, manipulation, and analysis.
    • Working knowledge of Python for data analysis and automation.
    • Strong analytical and communication skills to collaborate with marketing stakeholders and translate technical insights into business outcomes.
    • While domain experience isn't important these resources need to have supported large enterprises, worked with large sets of data and supported big data platforms (AWS or Azure)