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Data Operations Assistant Jobs in Philadelphia, PA

Vici Media

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Growth Marketing & Operations Partner - Remote Position

Philadelphia, PA · Remote

$65K - $85K/yr

This is not an admin-heavy assistant role; it is an execution-heavy partnership designed for a self ... Data guides your decision-making. You immediately see the story behind the numbers across Google ...

IQVIA

Client Transition Specialist

Wayne, PA · On-site

$73K - $183K/yr

... level assets. Assist with onboarding, migration, and implementation activities. * Monitor ... Partner with Go-to-market, Project Management, Commercial, Client Services, Data Operations, and ...

CYNET SYSTEMS

Client Transition Specialist

Wayne, PA · On-site

$25 - $30/hr

... level assets. Assist with onboarding, migration, and implementation activities. * Monitor ... Partner with Go-to-market, Project Management, Commercial, Client Services, Data Operations, and ...

Stern & Eisenberg PC

Accounting Assistant

Warrington, PA · On-site

$26 - $30/hr

Support budget tracking by compiling data and assisting with budget-to-actual variance reports. * Coordinate with third-party electronic vendors to support accounting operations. * Assist with year ...

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All JobsData Operations JobsData Operations Assistant JobsData Operations Assistant Jobs in Philadelphia, PA

Data Operations Assistant information

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How much do data operations assistant jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data operations assistant in Philadelphia, PA is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $22.55 per hour, depending on experience, location, and employer.

What is a data operations assistant?

Data Operations Assistants support the management, processing, and quality control of data within an organization. They handle tasks such as data entry, updating records, verifying accuracy, and assisting with data reporting. Their role helps ensure that business data is accurate, up-to-date, and easily accessible for analysis or decision-making. They often work closely with data analysts, IT teams, or operations managers to maintain data integrity and streamline workflows.

What are the key skills and qualifications needed to thrive as a data operations assistant?

To thrive as a Data Operations Assistant, you need strong analytical skills, attention to detail, and proficiency with data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with database systems, Microsoft Excel, and data management software such as SQL or CRM platforms is typically required. Excellent organizational abilities, problem-solving skills, and effective communication help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, supporting business operations, and facilitating informed decision-making.

What are some common challenges faced by data operations assistants, and how can they be overcome?

Data Operations Assistants often encounter challenges such as managing large volumes of data with tight deadlines, ensuring data accuracy, and coordinating with multiple departments for seamless data flow. To overcome these, it’s important to develop strong organizational and communication skills, become proficient in data management tools, and establish clear processes for data validation. Regular collaboration with team members and proactive troubleshooting can help minimize errors and improve workflow efficiency.

What is the difference between Data Operations Assistant vs Data Analyst?

AspectData Operations AssistantData Analyst
Required CredentialsAssociate degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, data management, support rolesData interpretation, reporting, analysis
Employer & Industry UsageBusinesses needing data support, administrative tasksOrganizations analyzing data for insights
Search & Comparison IntentUnderstanding support roles in data managementAnalyzing data to inform decisions

The Data Operations Assistant primarily handles data entry, management, and support tasks within organizations, often requiring an associate degree or relevant certifications. In contrast, a Data Analyst focuses on analyzing data, creating reports, and deriving insights, typically holding a bachelor's degree. While both roles work with data, the Assistant supports data workflows, whereas the Analyst interprets data for strategic purposes.

What is a data operations assistant's salary?

The salary for a data operations assistant typically ranges from $40,000 to $60,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced assistants with technical skills or certifications can earn higher wages.

What are the most commonly searched types of Data Operations jobs in Philadelphia, PA?

The most popular types of Data Operations jobs in Philadelphia, PA are:

What are popular job titles related to Data Operations Assistant jobs in Philadelphia, PA?

For Data Operations Assistant jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Operations Assistant jobs in Philadelphia, PA look for?

The top searched job categories for Data Operations Assistant jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Operations Assistant jobs?

Cities near Philadelphia, PA with the most Data Operations Assistant job openings:

Data Operations Assistant jobs near you
Infographic showing various Data Operations Assistant job openings in Philadelphia, PA as of August 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% In-person job distribution, with an average salary of $41,596 per year, or $20 per hour.

Data Engineer - Operational Support (Co-op)

Campbell Soup Company

Camden, NJ • On-site

$115K - $138K/yr

Full-time

Re-posted 5 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Operational Support Data Engineer (Co-op)
We are seeking a motivated and curious Data Engineer to join our Enterprise Data & Analytics team. This co-op provides hands-on experience building and supporting cloud-based data platforms and pipelines that power enterprise analytics, reporting, and AI/ML solutions.
You will work with tools such as Databricks, Snowflake, Azure, ADLS, ADF, Power BI, and SAP integrations in an Agile environment.
If you are passionate about data, cloud technologies, and solving complex problems, we want to hear from you.
Key Responsibilities
  • Build Data Pipelines: Develop and support scalable data pipelines and ETL/ELT workflows.
  • Data Ingestion & Integration: Ingest data from SAP, APIs, databases, flat files, and cloud platforms.
  • Data Transformation: Build transformations using Python, PySpark, and SQL.
  • Data Modeling & STTM: Support STTM, semantic layers, and data modeling for analytics.
  • Support Analytics & AI/ML: Prepare datasets for reporting, AI/ML, and advanced analytics.
  • Monitor & Troubleshoot: Track pipeline health and resolve failures, performance, and data quality issues.
  • Data Operations: Support incident triage, root cause analysis, and operational monitoring.
  • BI Collaboration: Support Power BI datasets, semantic models, and reporting solutions.
  • DevOps & CI/CD: Assist with deployments, testing, and automation.
  • Agile Delivery: Participate in sprint planning, stand-ups, and retrospectives.
  • Documentation: Create runbooks, designs, and technical documentation.
  • Automation & AI: Explore automation and AI-driven improvements.
  • Monitoring & Troubleshooting: Learn how to monitor platform health, data refreshes, workloads, and integrations; help investigate and troubleshoot failures or performance issues.
  • Incident & Problem Resolution:Support issue resolution by partnering with senior engineers to perform basic root-cause analysis and document fixes and learnings.

Learning & Development Opportunities
  • Hands-on experience with Databricks, Snowflake, Azure, ADLS, and ADF.
  • Exposure to ETL/ELT, data modeling, orchestration, and CI/CD.
  • Mentorship from Data, Platform, and AI/ML Engineers.
  • Experience working in Agile/Scrum and DevOps environments.
  • Exposure to enterprise use cases across supply chain, finance, reporting, and AI/ML.

Qualifications
  • Pursuing a degree in Computer Science, Data Engineering, Data Science, or related fields.
  • Basic knowledge of SQL and relational databases.
  • Programming in Python and/or PySpark.
  • Understanding of ETL/ELT, data modeling, or STTM concepts.
  • Familiarity with Databricks, Snowflake, Azure, ADF, ADLS, or Power BI is a plus.
  • Exposure to AI/ML, CI/CD, or DevOps is beneficial.
  • Strong problem-solving and analytical skills.
  • Strong communication and teamwork skills.
  • Self-motivated with a willingness to learn.

The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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