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Data Operations Assistant Jobs in Towson, MD (NOW HIRING)

Aquent

Senior Data Operations Specialist

Baltimore, MD · On-site +1

$65 - $85/hr

  • Medical

  • Retirement

Ensure optimal data quality and accessibility for internal analysis. * Assist with setting up triggers, events, and tags in marketing and analytics tagging platforms. What You'll Bring Required ...

Nwis

Offensive Cyber Ops SME

Fort George G Meade, MD

$64K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration ... Participate in user acceptance testing * Assist with training material development * Provide ...

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All JobsData Operations JobsData Operations Assistant JobsData Operations Assistant Jobs in Towson, MD

Data Operations Assistant information

See Towson, MD salary details

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How much do data operations assistant jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data operations assistant in Towson, MD is $18.99, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $21.39 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.

Is data operations a good job?

Data operations is a vital role that involves managing and maintaining data systems, ensuring data quality, and supporting data workflows. It often requires skills in database management, data analysis, and familiarity with tools like SQL and data pipelines. The job can offer stable employment and opportunities for skill development in data management environments.

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 or those in high-demand areas can earn more. Skills in data management tools and attention to detail are often valued in this role.

What are the most commonly searched types of Data Operations jobs in Towson, MD?

The most popular types of Data Operations jobs in Towson, MD are:

What are popular job titles related to Data Operations Assistant jobs in Towson, MD?

For Data Operations Assistant jobs in Towson, MD, the most frequently searched job titles are:

What job categories do people searching Data Operations Assistant jobs in Towson, MD look for?

The top searched job categories for Data Operations Assistant jobs in Towson, MD are:

What cities near Towson, MD are hiring for Data Operations Assistant jobs?

Cities near Towson, MD with the most Data Operations Assistant job openings:

Data Operations Assistant jobs near you

Senior Data Operations Specialist

Aquent

Baltimore, MD • On-site, Remote

$65 - $85/hr

Temporary

Medical, Retirement

Posted 22 days ago

Job description

Placement Type:
Temporary
Salary:
$65-85 Hourly
Start Date:
Aug 10, 2026
Partnering with Aquent, we're collaborating with an innovative agency client at the forefront of leveraging data to drive strategic success. This pivotal role offers an exciting opportunity to directly shape how internal strategy teams harness the power of data, ensuring they have access to high-quality, reliable information. Your expertise will be instrumental in delivering accurate and impactful insights and recommendations to clients, maintaining data integrity, and building robust data pipelines. This enables the company to make data-driven decisions with confidence and efficiency, directly contributing to the strategic success of the organization.
About Our Client
Our client, an innovative agency partnered with Aquent, is dedicated to empowering its internal strategy teams through exceptional data infrastructure. They are committed to providing reliable, high-quality information to drive impactful insights and recommendations for their clients. By fostering a data-driven environment, they enable confident and efficient decision-making, ensuring their position as a leader in their field.
The Opportunity
As a key contributor, you will be at the heart of ensuring data quality and accessibility, directly enabling the strategic success of the organization. This role is vital for maintaining data integrity and providing a reliable data infrastructure, allowing internal teams to deliver accurate insights and recommendations to clients. You will play a crucial part in building and maintaining the foundational data systems that power critical business decisions and client-facing strategies, making a direct impact on the company's ability to innovate and lead.
What You'll Do
  • Set up and connect data integrations from various sources.
  • Create and manage data pipelines to ensure efficient data flow.
  • Cleanse and manipulate raw data to normalize and standardize it for analysis.
  • Push processed data into various data storage environments, including spreadsheet applications and cloud-based data warehouses.
  • Collaborate closely with internal data and strategy teams to understand and fulfill data requirements.
  • Ensure optimal data quality and accessibility for internal analysis.
  • Assist with setting up triggers, events, and tags in marketing and analytics tagging platforms.

What You'll Bring
Required Qualifications
  • Advanced proficiency in SQL and Python (including Pandas, API integration, and ETL development).
  • Demonstrated experience consuming REST APIs, encompassing OAuth authentication, pagination, and JSON parsing.
  • Proven experience building automated data pipelines using Python, cloud automation tools, or CI/CD platforms.
  • Familiarity with APIs of leading CRM, marketing, and analytics platforms.
  • Experience connecting diverse data sources to leading Business Intelligence (BI) platforms.
  • Proficiency in Git version control and collaborative development practices.

Nice-to-Have Qualifications
  • Experience with JavaScript/TypeScript.
  • Familiarity with data transformation tools like dbt.
  • Knowledge of workflow orchestration tools such as Airflow or Prefect.
  • Experience with GraphQL.
  • Exposure to specialized marketing technology platforms.

About Skill:
Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.
Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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