Data Quality Manager
Data Quality Manager
The average salary for Data Quality Manager is $98,119 / year according to Glassdoor.com
There are no updated reports for Data Quality Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Data Quality Manager role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.
As a Data Quality Manager, you will be responsible for ensuring the accuracy, completeness, and consistency of data within an organization. You will need strong analytical and problem-solving skills to identify and resolve data quality issues. Attention to detail and the ability to collaborate with cross-functional teams are essential skills for this role.
The Data Quality Manager is responsible for ensuring that the data used by an organization is accurate, complete, and up-to-date. They work with a team of data analysts and scientists to identify and correct any errors or inconsistencies in the data, and to develop processes and procedures to ensure that the data is properly maintained and updated in the future.
The most important skills for a Data Quality Manager include:
- Strong attention to detail and problem-solving skills
- Excellent communication and interpersonal skills
- Ability to work effectively with a team of data analysts and scientists
- Experience with data analysis and data science tools and techniques
- Ability to design and implement processes and procedures to ensure data quality
- Experience with data governance and data management
Some of the key tasks for a Data Quality Manager include:
- Identifying and correcting errors and inconsistencies in the data
- Developing processes and procedures to ensure data quality
- Implementing data governance and data management policies and procedures
- Conducting training and education programs on data quality and data management
- Leading and managing a team of data analysts and scientists
- Working with business and IT stakeholders to ensure data quality
The Data Quality Manager is a critical role in any organization that relies on data to make informed decisions. They ensure that the data is accurate, complete, and up-to-date, and that it is properly maintained and updated in the future. This allows the organization to make the most of its data assets and to use them to drive business success.
High-ROI Programs
Microsoft Certified: Azure Data Scientist Associate
The Microsoft Certified: Azure Data Scientist Associate is a high-ROI program designed for professionals who have expertise in applying data science and machine learning techniques to implement and manage machine learning workloads on Azure.
Databricks Certified Data Engineer Associate
The Databricks Data Engineer Certification program is highly sought after, designed to evaluate an individual's proficiency in utilizing the Databricks Lakehouse Platform for performing fundamental data engineering tasks.
Microsoft Certified: Azure Data Engineer Associate
The Microsoft Certified: Azure Data Engineer Associate program is designed for professionals who have expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems.
Google Certified Professional Data Engineer
The Google Certified Professional Data Engineer is a high-ROI program designed for experienced professionals to become highly equipped with specialty skills and functional knowledge in cloud data engineering.
AWS Certified Data Analytics — Specialty
The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
Microsoft Certified: Azure Enterprise Data Analyst Associate
The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
AWS Certified Machine Learning — Specialty Certification
The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud.
Google Certified Professional Machine Learning Engineer
The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.
Data Science for Business Leaders
Data Engineering for Data Scientists
This Nanodegree program teaches you how to access data silos, extract information from various sources, and streamline it into functional formats for analysts and high-level decision-makers. You will have the opportunity to create an impressive, machine learning-driven web application with significant real-world, life-saving implications.
Become a Data Product Manager
Become an AI Product Manager
Data Scientist Professional with Python
Data Strategy and Management
Data Scientist Professional with R
Data Engineer Career Path
This beginner-friendly skill track is perfect for learning Python, SQL, pandas, NumPy, and more through interactive lectures and exercises. You will build a job-ready portfolio and excel in your data engineering career.
Data Engineering, Big Data, and Machine Learning on GCP Specialization
This specialization covers TensorFlow, BigQuery, and Google Cloud Platform. You will learn Big Data capabilities, modernize Data Lakes, and build resilient streaming analytics systems on Google Cloud.
Professional Certificate in Data Science
Resource Stacks
Disclaimer
The content displayed on this website is for informational and promotional purposes only. We have made every effort to use these materials in accordance with media kits and legal guidelines. We may receive a commission for any purchases made through our website.
Please note that we are not affiliated with, endorsed by, or sponsored by any of the companies whose logos and other materials appear on our website, unless expressly specified otherwise. All trademarks, logos, and other intellectual property belong to their respective owners.
If you are a copyright owner or an agent thereof and believe that any content on our website infringes upon your copyrights, you may submit a DMCA takedown request to have the content removed. Please provide us with the necessary information to process your request, and we will take appropriate action in accordance with applicable laws.
By using our website, you acknowledge and agree to this disclaimer and assume full responsibility for your use of the information provided.
