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Analytics Sme Jobs in New York

Vp, Analytics Jobs
By Saks Off 5th At , New York, 10022 $230,000 - $260,000 a year
Exceptionally strong stakeholder management, influencing and executive-level communication skills
You possess excellent leadership skills with experience managing and developing a team
Collaborate with peers in technology and data teams to refine company approach to data management, reporting, etc.
10-15 years of progressive experience in data analytics, machine learning, and AI
Advanced experience with PowerPoint, Word, Excel, and Think-Cell
Demonstrated effective problem-solving skills, ability to make sound strategic decisions
Querysurge Sme- Remote Jobs
By TechFetch.com - On Demand Tech Workforce hiring platform At New York, NY, United States

"ALL our jobs are US based and candidates must be in the US with valid US Work Authorization. Please apply on our website directly." Hope you are doing good Our client is looking for a QuerySurge ...

Analytics Designer Jobs
By State Street At New York, NY, United States
Demonstrate deep industry knowledge of data visualizations across web and mobile standards to inform decision-making and methodically evolve design practice standards
Demonstrated ability to deliver on assigned responsibilities through commitment to quality and attention to detail.
5+ years of experience in UI/UX or data visualization design roles
Analytical with strong problem-solving skills
Knowledge of best dashboard design principles from people such as Stephen Few
Own client engagement for design of dashboards and reports

Are you an analytics expert looking for a chance to make an impact? We are looking for an experienced Analytics SME to join our team and help us drive our data-driven decision-making. You will be responsible for developing and implementing advanced analytics solutions to support our business objectives. If you are passionate about analytics and have a knack for problem solving, this is the perfect opportunity for you!

Overview:

An Analytics SME (Subject Matter Expert) is a professional who has a deep understanding of analytics and data science. They are responsible for providing guidance and support to organizations in the development and implementation of analytics strategies and solutions.

Detailed Job Description:

An Analytics SME is responsible for providing expertise and guidance to organizations in the development and implementation of analytics strategies and solutions. They must have a deep understanding of analytics and data science, and be able to identify and analyze trends and patterns in data. They must also be able to develop and implement strategies to improve the accuracy and effectiveness of analytics solutions.

What is Analytics Sme Job Skills Required?

• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Knowledge of data science and analytics tools and techniques
• Ability to develop and implement analytics strategies
• Ability to identify and analyze trends and patterns in data
• Knowledge of data visualization techniques
• Knowledge of data mining and machine learning
• Knowledge of statistical analysis

What is Analytics Sme Job Qualifications?

• Bachelor’s degree in computer science, mathematics, statistics, or a related field
• 5+ years of experience in analytics or data science
• Experience in developing and implementing analytics strategies
• Experience in data visualization
• Experience in data mining and machine learning

What is Analytics Sme Job Knowledge?

• Knowledge of analytics and data science
• Knowledge of data visualization techniques
• Knowledge of data mining and machine learning
• Knowledge of statistical analysis
• Knowledge of data analysis tools and techniques

What is Analytics Sme Job Experience?

• 5+ years of experience in analytics or data science
• Experience in developing and implementing analytics strategies
• Experience in data visualization
• Experience in data mining and machine learning

What is Analytics Sme Job Responsibilities?

• Develop and implement analytics strategies
• Identify and analyze trends and patterns in data
• Develop and implement data visualization techniques
• Develop and implement data mining and machine learning algorithms
• Analyze data to identify opportunities for improvement
• Develop and implement statistical analysis models
• Monitor and evaluate analytics solutions for accuracy and effectiveness