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

JPC Partners is looking for a Data Analyst I that will provide expertise in developing solutions ... Knowledge/Experience with SQL and Oracle PL/SQL * Knowledge /Experience with Tableau and Databricks ...

New

Data Analyst Engineer

Wayne, PA · On-site

$150K - $180K/yr

... in SQL, Python, and Spark for data transformation and analysis. · Experience working in an Agile environment, specifically scrum. · Experience working with workflow orchestration tools such as ...

Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability translating technical terminology for non technical stakeholders * Experience leading data science ...

Senior Data Analyst

Crum Lynne, PA · On-site

$90K - $150K/yr

Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability translating technical terminology for non technical stakeholders * Experience leading data science ...

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop ... Strong experience with SQL databases Experience using SSIS to develop ETL packages Experience using ...

Data Analyst

Dresher, PA · On-site

$65 - $90/hr

Data Analyst Full Time Fort Washington, PA, US 3 days ago Requisition ID: 1170 Looking for a career ... Knowledge of Query Languages such as SQL * Possesses strong analytical skills with the ability to ...

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Data Analyst Python Sql information

See Lansdowne, PA salary details

$32K

$77.9K

$128.2K

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

As of Sep 7, 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 are popular job titles related to Data Analyst Python Sql jobs in Lansdowne, PA?

For Data Analyst Python Sql jobs in Lansdowne, PA, the most frequently searched job titles 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:

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.

Data Analyst - Network & Firewall Analytics

Fixity Technologies LLC

Mount Laurel, NJ • On-site

Full-time

Re-posted 17 hours ago


Job description

Must Have Technical/Functional Skills

•  3+ years of experience as a Network Engineer, followed by experience as a Data Analyst or Security Analyst.

•  Strong understanding of networking fundamentals (TCP/IP, NAT, routing, ports, protocols).

•  Hands on experience analyzing firewall logs and network traffic.

•  Proficiency in SQL and at least one scripting language (Python preferred).

•  Experience with SIEM tools (Splunk, Sentinel, Elastic, etc.).

•  Ability to interpret large datasets and identify anomalies or trends.

•  Strong communication skills and the ability to translate technical findings into business insights

Roles & Responsibilities

•  Analyze firewall logs, network traffic, and security events to identify anomalies, trends, and potential risks.

•  Apply your network engineering knowledge to interpret patterns related to routing, NAT, ACLs, and firewall rule behavior.

•  Investigate spikes in blocked traffic, unusual outbound connections, repeated failed attempts, and other suspicious activity.

Support troubleshooting.

•  Build dashboards and automated reports covering:

•  Present findings to both technical and non technical stakeholders.

•  Develop KPIs and reporting frameworks to support ongoing monitoring and compliance.

•  Clean, normalize, and transform large volumes of log data from multiple sources.

•  Use SQL, Python, or similar tools to automate data extraction and analysis.

•  Work with SIEM platforms (Splunk, Sentinel, QRadar, Elastic, etc.) to build queries, alerts, and dashboards.

•  Collaborate with engineering teams to improve data quality and logging standards

Education

Engineering