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Senior Data Analyst Developer Jobs in Pennsylvania

PurpleLab Inc

Data Analyst Engineer

Wayne, PA · On-site

$150K - $180K/yr

The Data Analyst Engineer will play a critical role in building and maintaining the data pipelines ... senior leadership. · Perform other duties as assigned to support business needs and company ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

We're hiring across experience levels, from junior to senior. RESPONSIBILITIES: The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and ...

Amphenol TCS

Data Analyst

Yocumtown, PA · On-site

We're hiring across experience levels, from junior to senior. RESPONSIBILITIES: The Data Analyst will support engineering teams by transforming raw operational data into reliable reporting and ...

Amphenol Corporation

Data Analyst

Yocumtown, PA · On-site

$80 - $100/hr

Etters, PA The Data Analyst will support engineering teams by transforming raw operational data ... For more senior candidates: lead requirements-gathering on complex initiatives and mentor junior ...

NAVA Software Solutions

Data Analyst

Malvern, PA · On-site

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview Process Round 1: Technical Interview Round 2: Case Study (Candidates will be given a takeaway case ...

SAP

Senior Data Scientist

Newtown Square, PA · On-site

Senior Data Scientist Location: Newtown Square, PA Work Model: Hybrid work model Purpose and ... Engineering teams. Expectations and Tasks: Support product and customer analytics initiatives to ...

RAKS Group LLC

Senior Data Engineer

Blue Bell, PA · On-site

$101K - $137K/yr

As a Senior Data Engineer, you will work with the team to build complex data pipelines using a new ... The ideal candidate would have data analysis and data pipeline development experience using big ...

Techvilla Solutions

Senior Data Engineer

Rushland, PA · On-site

$102K - $139K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ...

New

Techvilla Solutions

Senior Data Engineer

Paoli, PA · On-site

$103K - $140K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ...

New

Techvilla Solutions

Senior Data Engineer

Ambler, PA · On-site

$101K - $138K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ...

New

CNCSINFOTECH LLC

Data Analyst

Philadelphia, PA · On-site

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop ... from Sr. leadership o Automate self-service reporting Requirements: Strong experience with SQL ...

Techvilla Solutions

Senior Data Engineer

Earlington, PA · On-site

$106K - $144K/yr

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and ... Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality ...

New

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Senior Data Analyst Developer information

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are popular job titles related to Senior Data Analyst Developer jobs in Pennsylvania?

For Senior Data Analyst Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Developer jobs in Pennsylvania look for?

The top searched job categories for Senior Data Analyst Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Senior Data Analyst Developer jobs?

Cities in Pennsylvania with the most Senior Data Analyst Developer job openings:

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 79% Full Time, 12% Part Time, 2% Temporary, and 5% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution.

Data Analyst Engineer

PurpleLab Inc

Wayne, PA • On-site

$150K - $180K/yr

Full-time

Re-posted 4 days ago

Job description

Description:

The Data Analyst Engineer will play a critical role in building and maintaining the data pipelines that fuel our data driven insights and empower our healthcare offerings by leveraging both technical expertise and analytical skills to ensure the highest quality healthcare data is available for analysis.


DUTIES AND RESPONSIBILITIES:

· Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure seamless ingestion and transformation of the data to be housed in the Data Warehouse. 

· Utilize Airflow (or similar workflow orchestration tool) to manage data pipelines, including custom operators, sensors, and hooks. 

· Implement robust data quality checks and validation processes using tools like Spark and SQL. 

· Analyze data for trends and patterns to proactively identify and resolve data quality issues. 

· Partner with cross-functional teams (data science, business intelligence, etc.) to ensure data accuracy, consistency, and security. 

· Support the design, development, testing, and implementation of cost-effective data assimilation and reporting strategies. 

· Champion data governance best practices and stay up-to-date on emerging data technologies and trends. 

· Develop and implement data integration and consolidation techniques to ensure high-quality data transfers. 

· Document and conduct ad-hoc analyses to support business needs, sales efforts, and proposed solutions. 

· Collaborate on projects as needed from senior leadership.

· Perform other duties as assigned to support business needs and company objectives.

Requirements:

· Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field required (Master’s degree preferred).

· 3+ years of experience in data engineering, ETL development, or a related role, preferably in healthcare or life sciences.

· Proficiency 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 Apache Airflow.

· Strong knowledge of ETL processes, data pipelines, and cloud-based data solutions (AWS, GCP, or Azure).

· Familiarity with data modeling, database design, and data warehousing concepts.

· Experience with big data technologies (e.g., Hadoop, Snowflake, Databricks) is a plus.

· Understanding of data quality frameworks, governance best practices, and data security principles.

· Strong problem-solving skills with the ability to analyze complex data sets and identify trends.

· Ability to collaborate with cross-functional teams, including data science, business intelligence, and leadership.

· Excellent communication and documentation skills to support technical and non-technical stakeholders.



The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties or responsibilities. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requests for accommodation during the application, interview, or employment process should be directed to Human Resources. Equal Employment Opportunity Statement: PurpleLab, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.