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Full Time Data Quality Analyst Jobs in California

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Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ... The US base salary range for this full-time position is $30/hr. The pay offered for this position ...

Figure

Data Quality Analyst

San Jose, CA · On-site

$30/hr

We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data ... The US base salary range for this full-time position is $30/hr. The pay offered for this position ...

Figure

Data Quality Analyst

San Jose, CA · On-site

They are seeking a Data Quality Analyst to help annotate and label data for AI training applications. Responsibilities : • Use proprietary annotation tools to label objects, poses, and interactions ...

Figure

Data Quality Analyst

San Jose, CA · On-site

They are seeking a Data Quality Analyst to help annotate and label data for AI training applications. Responsibilities : • Use proprietary annotation tools to label objects, poses, and interactions ...

Figure

Data Quality Analyst

San Jose, CA · On-site

They are seeking a Data Quality Analyst to assist in annotating and labeling data for AI training applications. Responsibilities : • Use proprietary annotation tools to label objects, poses, and ...

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Full Time Data Quality Analyst information

What is a full time data quality analyst?

Full Time Data Quality Analysts are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They work full-time to monitor data sources, identify data quality issues, and develop processes for data cleansing and validation. Their role often involves collaborating with data engineers, business analysts, and IT teams to maintain high data standards, support data-driven decision-making, and comply with regulatory requirements. By implementing data quality frameworks and using specialized tools, they help minimize errors and improve the value of organizational data.

What are the key skills and qualifications needed to thrive as a full time data quality analyst?

A Full Time Data Quality Analyst typically needs strong analytical skills, attention to detail, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with data management tools, SQL, Excel, and sometimes data quality or ETL software, as well as certifications like Certified Data Management Professional (CDMP), is common. Excellent problem-solving abilities, communication skills, and an inquisitive mindset help analysts collaborate across teams and address data issues proactively. These skills ensure the accuracy, integrity, and reliability of data, which are crucial for informed business decision-making.

What are some common challenges faced by full time data quality analysts, and how are they typically addressed within a team?

Full Time Data Quality Analysts often encounter challenges such as dealing with inconsistent data sources, identifying root causes of data errors, and ensuring accuracy across large datasets. These challenges are usually addressed through close collaboration with data engineers, business analysts, and IT teams to establish data validation processes and implement data cleansing protocols. Regular communication, robust documentation, and the use of specialized data quality tools help analysts maintain high standards and quickly resolve any data integrity issues that arise.

What is the difference between Full Time Data Quality Analyst vs Data Analyst?

AspectFull Time Data Quality AnalystData Analyst
CertificationsData Quality certifications, SQL, ExcelData Analysis certifications, SQL, Excel
Work EnvironmentFocus on data integrity, validation, and quality control in corporate or tech settingsData interpretation, reporting, and visualization across various industries
Employer UsageUsed in organizations prioritizing data accuracy and complianceUsed in diverse sectors for business insights and decision-making

While both roles require strong analytical skills and familiarity with data tools, a Full Time Data Quality Analyst primarily concentrates on ensuring data accuracy, consistency, and quality. In contrast, a Data Analyst focuses on interpreting data to generate insights and support business strategies. The roles often overlap but differ in their core objectives and daily tasks.

What are the most commonly searched types of Data Quality Analyst jobs in California?

The most popular types of Data Quality Analyst jobs in California are:

What are popular job titles related to Full Time Data Quality Analyst jobs in California?

For Full Time Data Quality Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Full Time Data Quality Analyst jobs in California look for?

The top searched job categories for Full Time Data Quality Analyst jobs in California are:

What cities in California are hiring for Full Time Data Quality Analyst jobs?

Cities in California with the most Full Time Data Quality Analyst job openings:

Full Time Data Quality Analyst jobs near you

Data Quality Analyst

Pleasanton, CA • On-site

Rootshell Enterprise Technologies, Inc.
See more jobs at Rootshell Enterprise Technologies, Inc.external

Full-time

Re-posted 21 days ago

Job description

Hello All,
Greetings from Rootshell Inc.
Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Quality Analyst for one of our client, Please share your resume with current location & full contact info
Role:Data Quality Analyst
Location:Location: Pleasanton, CA (Onsite)
Job Summary:
QA Strategy and Leadership:
Define and implement robust QA strategies, methodologies, and processes for data engineering projects.
Lead and mentor a team of QA engineers, ensuring alignment with best practices and project goals.
Collaborate with stakeholders to understand data quality requirements and translate them into test plans and cases.
Testing Frameworks and Automation:
Develop and maintain automated testing frameworks for ETL pipelines, data lakes, and data warehouses on Google Cloud Platform, Databricks, and related services.
Design data validation and verification processes to ensure the accuracy and consistency of data across pipelines.
Automate regression, performance, and integration testing to minimize manual efforts.
Data Quality Assurance:
Conduct root cause analysis for data quality issues and drive corrective actions.
Ensure compliance with data governance policies and data security best practices.
Develop data profiling and monitoring dashboards using tools like Google Monitor, Power BI, or custom solutions.
Technical Skills and Qualifications:
GCP Expertise: Proficient in GCP, Dataflow, Big Query, Cloud Composer, and Google Storage services.
Databricks: Experience with Spark-based data engineering workflows, including Delta Lake.
Testing Tools & Frameworks: Strong experience with tools like PyTest, dbt (data build tool), or similar testing frameworks for data pipelines.
SQL and Scripting: Advanced SQL skills for data validation with Python proficiency for automation.
Big Data Knowledge: Knowledge of Big Data processing and distributed computing. Understand the importance of data modelling concepts.
CI/CD: Knowledge of CI/CD pipelines on or GitHub Actions, focusing on data engineering workflows.
Data Governance: Familiarity with data governance tools and concepts such as metadata management, lineage, and data cataloging.
Communication: Excellent communication skills, with the ability to synthesize, simplify, and explain complex problems to different types of audiences, including executives
Regards,
Naveen
Naveen@rootshellinc.com

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