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Internship Data Quality Analyst Jobs (NOW HIRING)

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This ...

Data Quality Analyst

Washington, DC ยท On-site

$95K - $105K/yr

Provide data analytics and data quality support for federal financial reporting and audit readiness activities. * Analyze data to validate completeness, accuracy, and compliance. * Develop dashboards ...

Senior Data Quality Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 12 Months Note: W2 and C2C candidates both can apply for the role. Candidate must be currently ...

Position Summary Curant Health is seeking a highly skilled Data Quality Analyst with strong expertise in validating data accuracy, completeness, and consistency across multiple data sources. This ...

Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies ...

Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies ...

Data Quality Analyst - GenAI Be part of something groundbreaking At AIG, we are making long-term investments in a brand-new, innovative Generative AI team , designed to explore new possibilities for ...

CW Customer Data Quality Analyst Location: Plano, TX Duration: 6+ Months Pay Rate: OPEN to discuss on W2 basis This is a business (as opposed to technical) role, A recent college grad with maybe a ...

Annotate data accurately, ensuring it adheres to set guidelines. Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize error patterns and report anomalies ...

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NETs ...

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: * Use proprietary annotation tools to label objects ...

... quality control standards are maintained and setting and maintaining agreed upon service level of ... Compile and analyze data related to business'/EDI issues Be able to fully understand LOG-NET ...

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. Responsibilities: * Use proprietary annotation tools to label objects ...

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Internship Data Quality Analyst information

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$34K

$82.6K

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How much do internship data quality analyst jobs pay per year?

As of Jun 30, 2026, the average yearly pay for internship data quality analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

For an Internship Data Quality Analyst or similar entry-level data roles, starting a career in data science at age 40 is feasible, especially with relevant skills like data analysis, programming, and familiarity with tools such as SQL or Python. Many professionals transition into data science later in life, and employers value diverse experience and continuous learning, making age less of a barrier than skill and motivation.

What is the difference between Internship Data Quality Analyst vs Data Analyst?

AspectInternship Data Quality AnalystData Analyst
CredentialsTypically pursuing or recent graduate with coursework in data management or related fieldsBachelor's degree in data science, statistics, or related field; often requires some experience
Work EnvironmentInternship setting, often part-time or temporary, in corporate or tech companiesFull-time role in various industries, including finance, healthcare, and tech
Employer UsageUsed by companies to train and evaluate potential future employees or for short-term projectsPermanent position focused on analyzing and interpreting data to support business decisions

The Internship Data Quality Analyst role is typically an entry-level, temporary position aimed at gaining experience in data quality processes. In contrast, a Data Analyst is a full-time professional responsible for analyzing data to inform business strategies. While both roles require knowledge of data management, the internship focuses on learning and support, whereas the Data Analyst role involves independent analysis and decision-making.

Is QA analyst an entry-level job?

A QA analyst role can be entry-level or require some experience, depending on the company and specific job requirements. Entry-level positions typically focus on basic testing and quality assurance tasks, often requiring familiarity with testing tools and attention to detail. More advanced roles may require knowledge of scripting, data analysis, or industry-specific standards.

What does an Internship Data Quality Analyst do?

An Internship Data Quality Analyst assists in ensuring the accuracy, integrity, and consistency of data within an organization. They help identify data errors, perform quality checks, and work with teams to resolve issues related to data quality. Interns in this role may use data analysis tools, maintain documentation, and support senior analysts in improving data management processes. This position is ideal for students or recent graduates looking to gain hands-on experience in data analytics and quality assurance.

Can I do a data analyst internship?

A data analyst internship is typically available to students or entry-level candidates interested in developing skills in data analysis, including proficiency with tools like Excel, SQL, or Python. Internships often require basic understanding of data concepts and may involve tasks such as data cleaning, visualization, and reporting under supervision.

What are some common challenges faced by Internship Data Quality Analysts, and how can they overcome them?

Internship Data Quality Analysts often encounter challenges such as identifying inconsistencies in large datasets, understanding complex data structures, and communicating data issues to different stakeholders. To overcome these, interns should develop strong attention to detail, familiarize themselves with data management tools, and proactively seek guidance from senior analysts. Effective documentation and clear communication are also essential for flagging and resolving data quality issues within a collaborative team environment.

What are the key skills and qualifications needed to thrive as an Internship Data Quality Analyst, and why are they important?

To thrive as an Internship Data Quality Analyst, you need a solid understanding of data management principles, attention to detail, and academic coursework in statistics, computer science, or a related field. Familiarity with data analysis tools like Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns excel in identifying and addressing data issues. These skills ensure data integrity, support business decision-making, and contribute to successful project outcomes.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms provide opportunities in areas such as audit, consulting, tax, and advisory, often requiring strong analytical skills and relevant coursework. Internships at these firms are highly competitive and can lead to full-time roles in the accounting and consulting industries.
What cities are hiring for Internship Data Quality Analyst jobs? Cities with the most Internship Data Quality Analyst job openings:
What are the most commonly searched types of Data Quality Analyst jobs? The most popular types of Data Quality Analyst jobs are:
What states have the most Internship Data Quality Analyst jobs? States with the most job openings for Internship Data Quality Analyst jobs include:
Data Quality Analyst

Data Quality Analyst

Avani Technology Solutions, Inc.

Newport Beach, CA โ€ข On-site

Full-time

Posted 3 days ago


Job description

Role: Data Quality Analyst
Location: Newport Beach, CA
Duration: 12 Months
Top Three Skills:
3+ years of experience as an ETL QA focused on data quality, data validation, and running query optimization/performance tuning
Experience with Informatica ETL tools for back end data validation
Experience overseeing data integrity across multiple client facing applications (preferably in banking/financial services)
Job Description:
We are seeking a Data Analyst to work on the projects focusing on the development of PIMCO's data quality program, central to the analytics of the organization in providing excellence to our clients. The candidate should demonstrate an advanced level of understanding of data quality, data architecture, data processing, and RDBMS systems. Candidate should be able to lead the data quality program, develop the testing plans, implement the test cases, monitor for data anomalies, escalate and follow up on data issues.
Primary responsibilities will include:
โ€ข Responsible for ensuring the data integrity levels of various client facing applications
โ€ข Provide a high level of data quality awareness across multiple teams
โ€ข Report development and analysis in order to find defects and propose improvements
โ€ข Work with data strategy, communications, and operations teams to drive advanced data quality governance program
โ€ข Bring a curious and inquisitive approach to solving complex data quality challenges
โ€ข Drive execution and provide automation improvements to drive efficiency
โ€ข Support development of organizational data quality to drive meaningful analytics
โ€ข Designs, develops, and analyzes the results of data queries necessary to identify data quality issues and presents results in an easy-to-understand format to end users
โ€ข Works with business stakeholders to gather requirements, conduct data profiling and track metrics necessary to monitor data quality
โ€ข Perform regression testing at critical junctions to ensure preservation of existing data integrity
โ€ข Root cause analysis
โ€ข Dataset and data process quality control
โ€ข Ensure that the highest level of system and data confidentiality, integrity and data availability is maintained
โ€ข Solves complex problems and develops innovative solutions
โ€ข Provides recommendations and plans for improvement
โ€ข Executes, maintains, and reviews data QC processes benchmarking against industry best practices
Position Requirements
โ€ข 3+ years' experience in a data quality focused role
โ€ข Extremely meticulous in approach to work
โ€ข Outstanding attention to detail
โ€ข Experienced in query optimization and performance tuning for OLTP and Date Warehouse
โ€ข Knowledge of Data Architecture (conceptual, logical, physical, transactional, dimensional, and Star/Snowflake modeling)
โ€ข Excellent interpersonal and communication skills are essential
โ€ข Ability to write technical documentation materials
โ€ข Experience in banking or financial services preferred
โ€ข Working Python knowledge is a plus