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Scheduling Analyst

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April 29, 2024 Updated June 5, 2024 3 minute read

A Scheduling Analyst is responsible for the planning and scheduling of various activities within an organization. They work closely with project managers and team members to create and maintain schedules, taking into account resource availability, deadlines, and other constraints. Scheduling Analysts may also be involved in developing and implementing scheduling software and systems, as well as analyzing and reporting on scheduling performance.

Essential Skills and Knowledge

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Salaries for Scheduling Analyst

City
Median
New York
$78,000
San Francisco
$112,000
Seattle
$118,000
See all salaries
City
Median
New York
$78,000
San Francisco
$112,000
Seattle
$118,000
Austin
$133,000
Toronto
$69,000
London
£47,000
Paris
€44,000
Berlin
€78,000
Tel Aviv
₪94,600
Singapore
S$72,000
Beijing
¥72,000
Shanghai
¥152,000
Bengalaru
₹216,000
Delhi
₹500,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Scheduling Analyst

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Reading list

We've selected some books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Scheduling Analyst.
A textbook that provides a broad overview of constraint-based reasoning, with a focus on constraint satisfaction problems. It covers both theoretical and practical aspects and includes many exercises and examples.
A classic textbook on artificial intelligence that includes a chapter on constraint satisfaction problems. provides a broad overview of AI and is suitable for students with no prior knowledge of the field.
A comprehensive survey of constraint processing, including constraint satisfaction problems. provides a detailed overview of the field and its history, as well as a discussion of future directions.
A textbook that focuses on the theoretical aspects of constraint satisfaction. It covers topics such as constraint propagation, search algorithms, and complexity analysis.
A practical guide to constraint programming using the ECLiPSe programming language. covers all major aspects of constraint programming and includes many examples and exercises.
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