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Associate Data Analyst Jobs in Maple Shade, NJ (NOW HIRING)

Join a diverse team helping high-profile clients understand, analyze, and respond to a wide array ... KPMG is currently seeking a Senior Associate to join our Economic & Statistical Consulting practice.

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

Associate Analyst

Mount Laurel, NJ · On-site

$23 - $24/hr

Conduct routine data entry and basic calculations for non-complex analyses. * Maintain accurate ... Associate's or Bachelor's degree in a scientific discipline preferred. * Must be 21 or older with a ...

Associate Analyst

Mount Laurel, NJ · On-site

$23 - $24/hr

Conduct routine data entry and basic calculations for non-complex analyses. * Maintain accurate ... Associate's or Bachelor's degree in a scientific discipline preferred. * Must be 21 or older with a ...

Associate Analyst

Mount Laurel, NJ · On-site

$23 - $24/hr

Conduct routine data entry and basic calculations for non-complex analyses. * Maintain accurate ... Associate's or Bachelor's degree in a scientific discipline preferred. * Must be 21 or older with a ...

Associate Analyst

Mount Laurel, NJ · On-site

$23 - $24/hr

Conduct routine data entry and basic calculations for non-complex analyses. * Maintain accurate ... Associate's or Bachelor's degree in a scientific discipline preferred. * Must be 21 or older with a ...

Associate Analyst

Mount Laurel, NJ · On-site

$23 - $24/hr

Conduct routine data entry and basic calculations for non-complex analyses. * Maintain accurate ... Associate's or Bachelor's degree in a scientific discipline preferred. * Must be 21 or older with a ...

The ideal candidate thrives in a fast-paced, data-driven environment and is comfortable working ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Showing results 41-60

Associate Data Analyst information

See Maple Shade, NJ salary details

$33.8K

$82.3K

$135.4K

How much do associate data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for associate data analyst in Maple Shade, NJ is $82,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $96,500.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Maple Shade, NJ?

The most popular types of Data Analyst jobs in Maple Shade, NJ are:

What are popular job titles related to Associate Data Analyst jobs in Maple Shade, NJ?

For Associate Data Analyst jobs in Maple Shade, NJ, the most frequently searched job titles are:

What job categories do people searching Associate Data Analyst jobs in Maple Shade, NJ look for?

The top searched job categories for Associate Data Analyst jobs in Maple Shade, NJ are:

What cities near Maple Shade, NJ are hiring for Associate Data Analyst jobs?

Cities near Maple Shade, NJ with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Maple Shade, NJ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,250 per year, or $39.5 per hour.

Senior Data Engineer, AI Value Realization

Pennsylvania Medicine

Philadelphia, PA • On-site

$107K - $145K/yr

Full-time

Posted 11 days ago


Penn Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

231st of 898 rated healthcare providers


Job description

Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
  • Entity: Corporate Services
  • Department: PennDNA Data Management and Ops
  • Location: Remote based out of 3535 Market St
  • Hours: 8hr Days

Summary:
This Senior Data Engineer role will be a key contributor to Penn Medicine's efforts to measure and demonstrate the real-world impact of AI-enabled clinical technologies, including ambient listening and other provider workflow interventions. The individual will design and develop scalable data products, analytical datasets, and measurement frameworks that enable the organization to evaluate how these technologies influence clinical, operational, provider, and patient outcomes.
Working closely with clinical, operational, analytics, and informatics stakeholders, this role will build data engineering solutions that support the development of metrics and models focused on outcomes such as provider satisfaction, reduction in after-hours documentation ("pajama time"), documentation and coding quality, patient satisfaction, care delivery efficiency, and broader health outcomes. The successful candidate will help establish trusted, scalable data foundations that enable rigorous evaluation of AI interventions and support data-driven decision making across the health system.
Responsibilities:
  • Data Integration and Processing: Design and architect scalable and reliable data pipelines to ingest, process, and transform large volumes of healthcare data from diverse sources, including electronic health records (EHR), clinical systems, research databases, and external data feeds.
  • ETL/ELT Development: Build and optimize ETL/ELT processes and work within Cloud technology such as Azure and Databricks to ensure efficient data extraction, transformation, and loading while maintaining data quality, consistency, and integrity. Collaborate with a variety of stakeholders across the organization to understand data requirements and translate them into effective ETL/ELT solutions that meet organizational goals.
  • Cloud Infrastructure and Technologies: Implement and maintain cloud-based data platforms and services, leveraging technologies such as AWS, Azure, or Databricks. Design and deploy data solutions using cloud-native services, such as Azure SQL Database, to support advanced analytics, machine learning, and data visualization initiatives.
  • Data Governance and Security: Enforce data governance policies, standards, and procedures to ensure compliance with regulatory requirements (e.g., HIPAA, GDPR) and organizational data security policies. Participate in implementation of metric standards, access controls, encryption, and auditing mechanisms to protect sensitive healthcare data and ensure data privacy and confidentiality.
  • Performance Monitoring: Monitor performance of data pipelines ETL/ELT processes, databases and data warehouses, troubleshoot issues, and implement optimizations to improve efficiency, reliability, and scalability.
  • Collaboration: Collaborate with cross-functional teams to define project requirements and develop solutions that meet organizational needs. Provide technical leadership and mentorship to junior data engineers and associate data engineers, fostering a culture of continuous learning and innovation within the data engineering team.
  • Continuous Improvement: Demonstrate a commitment to continuous learning and professional development. Stay current with industry trends, best practices, and emerging technologies in data engineering, ELT/ETL processes and data transformation. Look for opportunities to optimize the team's processes and workflows.
  • Performs duties in accordance with Penn Medicine and entity values, policies, and procedures.
  • Other duties as assigned to support the unit, department, entity, and health system organization.

Credentials:
  • Epic Clarity Data Model (must be completed within 6 months of start date

Education or Equivalent Experience:
  • Bachelor's degree in Computer Science, Information Systems, or related field is required.
  • 3+ years of experience in data engineering, database management, or related roles, with significant experience managing work is required.
  • Proven track record of leading and executing moderately complex projects with minimal oversight is required.

We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.

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