The role involves extracting and reviewing data, monitoring accuracy, and assisting in the development of reports and compliance with regulations. Responsibilities : • Extracts requested data from ...
The role involves extracting and reviewing data, monitoring accuracy, and assisting in the development of reports and compliance with regulations. Responsibilities : • Extracts requested data from ...
Data Architect
Washington, DC · On-site
$72.25 - $92.75/hr
Support the creation of data monitoring guidance and metrics * Interface with senior leadership to develop business requirements and work with IT team members to flow the requirements down * Provide ...
Data Architect
Washington, DC · On-site
$72.25 - $92.75/hr
Support the creation of data monitoring guidance and metrics * Interface with senior leadership to develop business requirements and work with IT team members to flow the requirements down * Provide ...
Archer Data Scientist
Livermore, CA · On-site +1
Implement model and data monitoring solutions for drift detection, latency management, and cost optimization. * Collaborate with DevOps to maintain secure, reliable, and compliant cloud environments ...
Archer Data Scientist
Livermore, CA · On-site +1
Implement model and data monitoring solutions for drift detection, latency management, and cost optimization. * Collaborate with DevOps to maintain secure, reliable, and compliant cloud environments ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Hayward, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Hayward, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Centerton, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Centerton, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Rogers, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Rogers, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
San Jose, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
San Jose, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
URGENT NEED - Sr Data Analyst - Austin, TX- Locals - Onsite
Atlanta, GA · On-site
$82K - $104K/yr
Monitors and provides insight into key metrics, including metric performance. * Handles data preparation and analysis for various projects. * Writes, maintains, and updates SQL queries in response to ...
URGENT NEED - Sr Data Analyst - Austin, TX- Locals - Onsite
Atlanta, GA · On-site
$82K - $104K/yr
Monitors and provides insight into key metrics, including metric performance. * Handles data preparation and analysis for various projects. * Writes, maintains, and updates SQL queries in response to ...
(USA) Staff, Data Scientist
Johnson, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Johnson, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
San Mateo, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
San Mateo, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Milpitas, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Milpitas, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Sunnyvale, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Sunnyvale, CA · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Within QHED, the Data Driven Monitoring Section is responsible for the Department's clinical quality measurement and monitoring efforts, including evaluation of NCQA HEDIS measures, the CMS Core Set ...
New
Within QHED, the Data Driven Monitoring Section is responsible for the Department's clinical quality measurement and monitoring efforts, including evaluation of NCQA HEDIS measures, the CMS Core Set ...
New
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Data-Driven Monitoring Medical Consultant
Sacramento, CA · On-site
$13K - $19K/mo
Within QHED, the Data Driven Monitoring Section is responsible for the Department's clinical quality measurement and monitoring efforts, including evaluation of NCQA HEDIS measures, the CMS Core Set ...
Data-Driven Monitoring Medical Consultant
Sacramento, CA · On-site
$13K - $19K/mo
Within QHED, the Data Driven Monitoring Section is responsible for the Department's clinical quality measurement and monitoring efforts, including evaluation of NCQA HEDIS measures, the CMS Core Set ...
(USA) Staff, Data Scientist
Tontitown, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
(USA) Staff, Data Scientist
Tontitown, AR · On-site
Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management * Can develop and maintain scalable MLOps ...
Data Monitoring information
What are the typical responsibilities of a Data Monitoring professional on a day-to-day basis?
Data Monitoring professionals are responsible for continuously tracking and analyzing data streams for accuracy, consistency, and adherence to quality standards. Daily tasks often include reviewing data dashboards, investigating anomalies, generating reports, and collaborating with data analysts, engineers, and business stakeholders to address issues. You may also be involved in developing or refining data monitoring processes and ensuring data integrity across different systems. This role is vital for organizations that rely on accurate, real-time data to inform decisions and maintain compliance.
What jobs make $1,000,000 a year?
In the field of data monitoring, high-paying roles such as Chief Data Officer or Data Science Director can reach or exceed $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data analysis and management, and often involve leadership responsibilities and strategic decision-making.
What are the key skills and qualifications needed to thrive in the Data Monitoring position, and why are they important?
To thrive in Data Monitoring, you need strong analytical skills, attention to detail, and a good understanding of data management principles, often supported by a degree in statistics, computer science, or a related field. Familiarity with monitoring software, SQL, Excel, and data visualization tools, as well as certifications like CompTIA Data+, are commonly sought after. Excellent problem-solving abilities, effective communication, and the ability to work both independently and collaboratively help professionals stand out. These skills ensure accurate data oversight, quick identification of anomalies, and clear reporting to support informed business decision-making.
Is 40 too late for data science?
Data monitoring professionals and those transitioning into data science can start at any age, including 40. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, along with continuous learning and experience. Age is less important than skill development and practical knowledge in the field.
Is data analysis a well-paid job?
Data analysis is generally considered a well-paid profession, with salaries varying based on experience, industry, and location. Skilled analysts proficient in tools like Excel, SQL, and data visualization software tend to earn higher wages, especially with certifications or advanced degrees.
What is a Data Monitoring job?
A Data Monitoring job involves tracking, analyzing, and ensuring the accuracy and integrity of data within a system or organization. Professionals in this role identify inconsistencies, detect anomalies, and maintain data quality by implementing validation processes. They often work with databases, reporting tools, and automation to monitor data in real-time. This role is critical in industries like healthcare, finance, and technology to ensure compliance and informed decision-making.
What does a data monitor do?
A data monitor is responsible for reviewing and analyzing data to ensure accuracy, consistency, and quality. They often use tools like spreadsheets or data management software and may set up alerts or reports to identify issues or trends in the data. This role requires attention to detail and understanding of data integrity standards.
More about Data Monitoring jobs
What cities are hiring for Data Monitoring jobs? Cities with the most Data Monitoring job openings:
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What states have the most Data Monitoring jobs? States with the most job openings for Data Monitoring jobs include:
What job categories do people searching Data Monitoring jobs look for? The top searched job categories for Data Monitoring jobs are:
Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
Columbus City Schools rating
7.4
Based on 42 frontline employees who took The Breakroom Quiz
150th of 559 rated elementary and secondary schools
Job description
Job Summary:
Columbus City Schools is seeking an Educational Systems Data Analyst I to perform entry-level analysis and validation of data from educational management systems. The role involves extracting and reviewing data, monitoring accuracy, and assisting in the development of reports and compliance with regulations.
Responsibilities:
• Extracts requested data from a variety of databases and integrates data into required file formats;
• Reviews data accuracy and integrity; identifies and analyzes error patterns in data sets; corrects errors by researching sources of information;
• Monitors data entries for timely and accurate completion; identifies issues with methods of data gathering, entry, and reporting by staff and system users, such as duplicate entries and overlapping dates;
• Learns the specialized methods required by state and federal agencies for submission of educational data;
• Assists upper level personnel with identifying ways to facilitate processes to eliminate recurring types of errors; instructs users in new methods;
• Writes queries and simple programs to collect and compile specific data needed for reports, as required by local, state, and federal agencies, staff, and users;
• Develops routine and ad hoc reports, tables, and graphs; provides assistance to staff in interpreting and analyzing the results; develops custom reports as requested;
• Reviews data submitted to external agencies for compliance with all applicable laws and regulations;
• May participate in developing standards, policies, and procedures for data retrieval and reporting.
Qualifications:
Required:
• Possession of a bachelor's degree with significant coursework (21 semester or 32 quarter hours) in computer science, mathematics, or a closely related field
• One (1) year of experience in data analysis and research
• Must attach official college transcript or degree for educational credit before submitting the application
• Demonstrated experience using databases and related technologies; functional understanding of data warehouse concepts and deliverables
• Write queries using SQL and simple programs to collect and compile specific data needed for reports, as required by local, state and federal agencies, staff and users
• Collaborate with various internal/external departments and colleagues to gather user requirements in order to document the design of deliverables (reports, dashboards, alerts, visualizations) and obtains feedback on effectiveness of the solutions
• Candidates must be willing to work 'in person' and have their own transportation
• General knowledge of data analysis processes and procedures
• General knowledge of data quality assurance processes and procedures
• General knowledge of relational databases and data retrieval methods
• General knowledge of research and problem-solving techniques
• General knowledge of documentation and report writing procedures
• General knowledge of Microsoft Office software, including Excel
• General knowledge of the techniques used to write queries and simple programs
• Ability to retrieve and manipulate data sets to identify patterns, problems, and errors
• Ability to use logic and analysis to solve problems
• Ability to organize and summarize information in written format
• Ability to communicate effectively, both orally and in writing
• Ability to develop and maintain effective working relationships with others
Preferred:
• A minimum of Intermediate to advanced experience with Excel
• Previous experience working in the field of education
• Familiarity in transitioning SAS to SQL queries
Company:
Columbus City Schools, established in 1845, is Ohio’s largest school district, serving the needs of more than 51,000 students in 109 schools. Founded in 1845, the company is headquartered in Columbus, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Columbus City Schools is seeking an Educational Systems Data Analyst I to perform entry-level analysis and validation of data from educational management systems. The role involves extracting and reviewing data, monitoring accuracy, and assisting in the development of reports and compliance with regulations.
Responsibilities:
• Extracts requested data from a variety of databases and integrates data into required file formats;
• Reviews data accuracy and integrity; identifies and analyzes error patterns in data sets; corrects errors by researching sources of information;
• Monitors data entries for timely and accurate completion; identifies issues with methods of data gathering, entry, and reporting by staff and system users, such as duplicate entries and overlapping dates;
• Learns the specialized methods required by state and federal agencies for submission of educational data;
• Assists upper level personnel with identifying ways to facilitate processes to eliminate recurring types of errors; instructs users in new methods;
• Writes queries and simple programs to collect and compile specific data needed for reports, as required by local, state, and federal agencies, staff, and users;
• Develops routine and ad hoc reports, tables, and graphs; provides assistance to staff in interpreting and analyzing the results; develops custom reports as requested;
• Reviews data submitted to external agencies for compliance with all applicable laws and regulations;
• May participate in developing standards, policies, and procedures for data retrieval and reporting.
Qualifications:
Required:
• Possession of a bachelor's degree with significant coursework (21 semester or 32 quarter hours) in computer science, mathematics, or a closely related field
• One (1) year of experience in data analysis and research
• Must attach official college transcript or degree for educational credit before submitting the application
• Demonstrated experience using databases and related technologies; functional understanding of data warehouse concepts and deliverables
• Write queries using SQL and simple programs to collect and compile specific data needed for reports, as required by local, state and federal agencies, staff and users
• Collaborate with various internal/external departments and colleagues to gather user requirements in order to document the design of deliverables (reports, dashboards, alerts, visualizations) and obtains feedback on effectiveness of the solutions
• Candidates must be willing to work 'in person' and have their own transportation
• General knowledge of data analysis processes and procedures
• General knowledge of data quality assurance processes and procedures
• General knowledge of relational databases and data retrieval methods
• General knowledge of research and problem-solving techniques
• General knowledge of documentation and report writing procedures
• General knowledge of Microsoft Office software, including Excel
• General knowledge of the techniques used to write queries and simple programs
• Ability to retrieve and manipulate data sets to identify patterns, problems, and errors
• Ability to use logic and analysis to solve problems
• Ability to organize and summarize information in written format
• Ability to communicate effectively, both orally and in writing
• Ability to develop and maintain effective working relationships with others
Preferred:
• A minimum of Intermediate to advanced experience with Excel
• Previous experience working in the field of education
• Familiarity in transitioning SAS to SQL queries
Company:
Columbus City Schools, established in 1845, is Ohio’s largest school district, serving the needs of more than 51,000 students in 109 schools. Founded in 1845, the company is headquartered in Columbus, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
What Columbus City Schools employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Columbus City Schools
Sourced by ZipRecruiter
Company size
5,001 - 10,000 Employees
Headquarters location
Columbus, OH, US
Year founded
1845