A Data Operations Manager oversees the collection, processing, storage, and analysis of large datasets. They are responsible for implementing efficient data systems, ensuring data quality and integrity, and guiding data-related decisions to improve business performance.
Potential Lateral Jobs
Data Operations Manager
$105,142 / year
The average salary for Data Operations Manager is $105,142 / year according to Glassdoor.com
There are no updated reports for Data Operations Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Data Operations Manager role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.
As a Data Operations Manager, you will be responsible for overseeing the collection, storage, and analysis of data within an organization. You will need a strong understanding of data management principles and technologies, as well as experience with data governance and compliance. Strong problem-solving and communication skills are essential, as you will be responsible for ensuring data accuracy and availability.
The following text about the Job role of Data Operations Manager has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.
Data Operations Manager is a crucial role in any organization that deals with large amounts of data. This role is responsible for the smooth and efficient operation of data systems and databases. The Data Operations Manager is responsible for ensuring that data is accurate, up-to-date, and easily accessible to those who need it.
The most important skills for a Data Operations Manager include:
Strong understanding of data systems and databases
Ability to manage and maintain data systems
Experience with data analysis and reporting
Strong problem-solving and decision-making skills
Ability to work effectively with others
The Data Operations Manager is responsible for a wide range of tasks, including:
Designing and implementing data systems and databases
Maintaining and updating data systems and databases
Conducting data analysis and reporting
Providing data-driven insights to support business decisions
Collaborating with cross-functional teams to ensure data accuracy and consistency
Leading and managing a team of data professionals
The Data Operations Manager is a critical role in any organization that deals with large amounts of data. This role is responsible for ensuring that data is accurate, up-to-date, and easily accessible to those who need it. The Data Operations Manager must have strong technical skills and be able to work effectively with others to ensure the smooth and efficient operation of data systems and databases.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.
Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
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.
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.
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.
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.
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.
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
This career track is designed for beginners to learn Python basics, build data architecture, streamline processing, and maintain large-scale systems. Participants will develop pipelines, automate tasks, and construct high-performance databases using Shell, SQL, and Scala.
This program is exhaustive, allowing you to gain scientific skills in Excel, SQL, and SAS for data analysis, as well as creating data visualization to communicate results using statistical calculations.
We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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.
No spam. In-depth analysis, expert opinions, startup perks, and resources to bootstrap your growth.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.