A Data Manager oversees the collection, storage, and organization of data, ensuring data integrity, security, and accessibility for analysis and reporting purposes.
Potential Lateral Jobs
$84,391 / year
The average salary for Data Manager is $84,391 / year according to Indeed.com
There are no updated reports for Data Manager salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Data Manager role may have an alternate title depending on the company. To find more information, you can check Indeed.com.
As a Data Manager, you will be responsible for overseeing the collection, storage, and analysis of data within an organization. You will need strong knowledge of data management principles and tools such as SQL or Hadoop. Strong attention to detail and the ability to work with large datasets are also important skills for a data manager.
The following text about the Job role of Data 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.
The data manager is responsible for the design, development, and maintenance of data systems and databases. They work with a team of developers and analysts to ensure that data is accurate, secure, and accessible.
The data manager's most important skills include:
Knowledge of data structures and algorithms
Proficiency in programming languages such as SQL, Python, and R
Ability to design and implement data systems
Experience with data analysis and visualization
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
The data manager's tasks include:
Designing and developing data systems and databases
Maintaining and updating data systems and databases
Conducting data analysis and visualization
Collaborating with developers and analysts to ensure data accuracy and security
Communicating with stakeholders to understand data needs and requirements
Providing training and support to users of data systems
The data manager is a crucial member of any team that works with data. They ensure that data is accurate, secure, and accessible, and they work with a team of developers and analysts to make sure that data systems are well-designed and maintained. The data manager's skills and tasks are essential for the smooth 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.
Digital Product Management: From Strategy to Launch
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.
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