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Data Operations Assistant Jobs in Dallas, TX (NOW HIRING)

... and assist in transitioning them to automated, repeatable solutions • Monitor pipeline ... Required : • 0-3 years of experience in a data, analytics, or operations role • Hands-on ...

First (1st) Shift Operations Assistant Shift: 7:00am -; 3:30pm, Monday-Friday with mandatory OT as ... Ensure that all receiving data entry is completed on time to allow picking documentation to be ...

... that Operations and Consulting teams can deliver timely, high-quality insights to clients ... Track day-to-day issues related to clients' pharmacy plans and assist team members in closing out ...

Support operational analytics. * * Assist with analysis involving billing, eligibility, carrier files, commissions, agent/member data, CRM data, cancellations, payments, and other operational ...

... * Assist in campaign optimizations for best results based on research insights * Advise on ... a data operations or ad measurement role at a leading advertiser, publisher, media agency or ...

Admin Assistant

Plano, TX · On-site

$17.25 - $23.25/hr

As an Administrative Assistant at Ascentt, you will support daily business operations for a fast-paced AI and data solutions organization specializing in AI/ML, cloud, analytics, and enterprise ...

... a data operations or ad measurement role at a leading advertiser, publisher, media agency or ... Teads utilizes or may utilize artificial intelligence to assist in the screening and selection ...

... a data operations or ad measurement role at a leading advertiser, publisher, media agency or ... Teads utilizes or may utilize artificial intelligence to assist in the screening and selection ...

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Data Operations Assistant information

See Dallas, TX salary details

$10

$19

$30

How much do data operations assistant jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data operations assistant in Dallas, TX is $19.60, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $22.12 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a Data Operations Assistant, and why are they important?

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 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 are Data Operations Assistants?

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 most commonly searched types of Data Operations jobs in Dallas, TX? The most popular types of Data Operations jobs in Dallas, TX are:
What are popular job titles related to Data Operations Assistant jobs in Dallas, TX? For Data Operations Assistant jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Operations Assistant jobs in Dallas, TX look for? The top searched job categories for Data Operations Assistant jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Operations Assistant jobs? Cities near Dallas, TX with the most Data Operations Assistant job openings:
Data Analyst - Data Operations

Data Analyst - Data Operations

LP Analyst

Dallas, TX • On-site

Full-time

Posted 25 days ago


Job description

Job Summary:
LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their operations team, responsible for the collection, processing, and delivery of financial data to clients.
Responsibilities:
• Support the build-out and maintenance of ETL/ELT pipelines that collect, transform, and load financial data from multiple sources into our internal platform, ensuring accuracy and completeness
• Leverage AI-based tools for automated data extraction and validation, helping to assess output quality and flag exceptions that require review or correction
• Write and optimize SQL queries to support data transformation, validation, and quality assurance across our internal data platform
• Identify manual, Excel-heavy workflows and assist in transitioning them to automated, repeatable solutions
• Monitor pipeline performance and data quality, flagging and resolving issues to ensure accurate and timely client data delivery
• Interpret varied reporting formats and practices across private capital strategies, applying judgment to ensure data is accurately captured and consistently represented regardless of source format
• Communicate effectively with team leads, senior colleagues, and non-technical teammates, translating technical processes and findings into clear business terms and escalating issues through appropriate channels
• Contribute to documentation of pipelines, data flows, and processes to build shared knowledge across the team
• Assist in testing and QA of new pipeline builds and enhancements before deployment
• Respond to ad hoc data requests from internal teams, pulling and summarizing data as needed to support day-to-day business operations
• Adhere to data governance standards including naming conventions, data definitions, and data integrity practices, with an awareness of the accuracy and compliance expectations of a financial services environment
• Work collaboratively with cross-functional teams, including client services, to meet service-level agreements and data delivery deadlines, adapting to shifting priorities in a deadline-driven environment
Qualifications:
Required:
• 0–3 years of experience in a data, analytics, or operations role
• Hands-on experience with Python, including writing scripts for data processing or automation
• Working knowledge of SQL, including writing queries to extract, transform, and validate data
• Exposure to AI-based data tools or a demonstrated curiosity about applying AI and automation to data workflows
• Familiarity with ETL/ELT concepts and data pipeline fundamentals
• Proficiency in Excel and/or Power Query for data manipulation and analysis
• Strong attention to detail and a genuine commitment to data quality
• Ability to work collaboratively within a team and communicate clearly with both technical and non-technical colleagues
• Bachelor's degree in Finance, Business Analytics, Data Science, Computer Science, or a related field
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position
Preferred:
• Understanding of financial data — fund accounting, investment data, or financial statements experience — is a plus
Company:
LP Analyst is the source for independent advisory and analysis solutions for the private equity investment community. Founded in 2011, the company is headquartered in Dallas, USA, with a team of 51-200 employees. The company is currently Growth Stage.