We use cookies to improve the user experience, analyze traffic and display relevant ads.
Details Accept
Enter position

Analytics Manager Salary in Joliet, IL

Receive statistics information by mail
Unfortunately, there are no statistics for this request. Try changing your position or region.

Найдите подходящую статистику

Administrative Manager

Смотреть статистику

Agency Manager

Смотреть статистику

Application Development Manager

Смотреть статистику

Area Manager

Смотреть статистику

Asset Protection Manager

Смотреть статистику

Assistant Manager

Смотреть статистику

Assurance Manager

Смотреть статистику

Branch Manager

Смотреть статистику

Building Manager

Смотреть статистику

Campaign Manager

Смотреть статистику

Certification Manager

Смотреть статистику

Chef Manager

Смотреть статистику

Chief Operating Officer

Смотреть статистику

Collection Manager

Смотреть статистику

Compensation Manager

Смотреть статистику

Contact Manager

Смотреть статистику

Controls Manager

Смотреть статистику

Credit Manager

Смотреть статистику

Customer Experience Manager

Смотреть статистику

Department Manager

Смотреть статистику

Deployment Manager

Смотреть статистику

Design Manager

Смотреть статистику

Development Manager

Смотреть статистику

District Manager

Смотреть статистику

Education Manager

Смотреть статистику

Escalation Manager

Смотреть статистику

Evaluation Manager

Смотреть статистику

Executive Manager

Смотреть статистику

Fuels Manager

Смотреть статистику

General Manager

Смотреть статистику

Hotel Manager

Смотреть статистику

Implementation Manager

Смотреть статистику

Incident Manager

Смотреть статистику

Information Manager

Смотреть статистику

Installation Manager

Смотреть статистику

Insurance Manager

Смотреть статистику

International Manager

Смотреть статистику

Loan Manager

Смотреть статистику

Location Manager

Смотреть статистику

Manager

Смотреть статистику

Night Manager

Смотреть статистику

Operations Manager

Смотреть статистику

Practice Manager

Смотреть статистику

Process Manager

Смотреть статистику

Procurement Manager

Смотреть статистику

Program Manager

Смотреть статистику

Proposal Manager

Смотреть статистику

Purchasing Manager

Смотреть статистику

Receiving Manager

Смотреть статистику

Regional Manager

Смотреть статистику

Release Engineer

Смотреть статистику

Reporting Manager

Смотреть статистику

Resident Manager

Смотреть статистику

Revenue Manager

Смотреть статистику

Scheduling Manager

Смотреть статистику

Section Manager

Смотреть статистику

Software Manager

Смотреть статистику

Sourcing Manager

Смотреть статистику

Strategy Manager

Смотреть статистику

Territory Manager

Смотреть статистику

Test Manager

Смотреть статистику

Transaction Manager

Смотреть статистику

Travel Manager

Смотреть статистику

Unit Manager

Смотреть статистику

Website Manager

Смотреть статистику

Zone Manager

Смотреть статистику
Show more

Recommended vacancies

Senior Manager, Data Engineering
Capital One, Joliet
Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data EngineeringDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Team Description: The Card Data Organization team works on the foundational capabilities of how data should be produced and consumed. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others. The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools. This team is looking for a People Leader who loves to innovate, problem solve, can lead multiple teams with strong delivery focus, and can build an inclusive and fun culture. What You'll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesLead a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic Qualifications:Bachelor's DegreeAt least 8 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologiesAt least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 4 years of people management experiencePreferred Qualifications: Master's Degree9+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications4+ years of experience with NoSQL implementation (Mongo, Cassandra)4+ years of data warehousing experience (Redshift or Snowflake)4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices6+ years of people management experienceCapital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Manager, Data Engineering (Spark, AWS)
Capital One, Joliet
Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Engineering (Spark, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Team Description: The Card Data Organization team works on the foundational capabilities of how data should be produced and consumed. The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others. The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools. This team is looking for a People Leader who loves to innovate, problem solve, can lead multiple teams with strong delivery focus, and can build an inclusive and fun culture. What You'll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesLead a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic Qualifications:Bachelor's DegreeAt least 8 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologiesAt least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)At least 4 years of people management experiencePreferred Qualifications: Master's Degree9+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications4+ years of experience with NoSQL implementation (Mongo, Cassandra)4+ years of data warehousing experience (Redshift or Snowflake)4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices6+ years of people management experienceCapital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to [email protected] One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).