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Analytics Consultant Jobs in British Columbia

Planning Analytics Consultant Jobs
By Reo Group At Greater Toronto Area, Canada
Deliver Performance Management and Operation Analysis solutions using data modelling tools (TM1/Planning Analytics)
CA / CPA qualification or a degree in Finance
Lead requirement and design workshops
TM1 skills: Cube/Dimension, Rules/Feeders, TI, PAX, PAW, MDX etc
Python experience - TM1PY is an advantage
Experience working with Rest APIs
Planning Analytics Consultant - Tm1
By Reo Group At Vancouver, British Columbia, Canada
Deliver Performance Management and Operation Analysis solutions using data modelling tools (TM1/Planning Analytics)
Lead requirement and design workshops
TM1 skills: Cube/Dimension, Rules/Feeders, TI, PAX, PAW, MDX etc
Python experience - TM1PY is an advantage
Experience working with Rest APIs
The Company, Culture & Benefits
Consultant | Data Analytics Jobs
By Interior Health Authority At Kelowna, British Columbia, Canada

Works with representatives of other Health Authorities and other data custodians to support data, analysis, interpretation, and reporting initiatives.

Analytics Consultant Jobs
By Teema Solutions Group At Vancouver, British Columbia, Canada
Knowledge or experience with an ITSM system is an asset.
Minimum of 5 years experience in a similar role with a minimum of 1 year of in Data Analytics.
Experience with data auditing, system maintenance, and testing for Workday modules
Experience with Dynamics CRM and MS Power platform to developer Dashboards, Metrics, Analysis and Reports
Proficient in Microsoft Office suite with intermediate knowledge of Excel.
Experience working with SharePoint administration considered an asset.

Are you an analytics expert looking for an exciting new challenge? We are looking for an experienced Analytics Consultant to join our team and help us make data-driven decisions. You will be responsible for developing and implementing analytics solutions to help our clients make informed decisions. If you have a passion for data and analytics and want to make an impact, this is the job for you!

Overview:

An Analytics Consultant is a professional who provides data-driven insights and solutions to help organizations make better decisions. They are responsible for analyzing data, developing models, and providing recommendations to help businesses improve their operations and performance.

Detailed Job Description:

An Analytics Consultant is responsible for gathering, analyzing, and interpreting data to identify trends and patterns. They must be able to develop models to predict future outcomes and provide recommendations to clients. They must also be able to communicate their findings to stakeholders in a clear and concise manner.

What is Analytics Consultant Job Skills Required?

• Strong analytical and problem-solving skills
• Knowledge of data analysis techniques and tools
• Ability to interpret data and draw meaningful conclusions
• Excellent communication and presentation skills
• Ability to work independently and as part of a team
• Knowledge of programming languages such as Python, R, and SQL

What is Analytics Consultant Job Qualifications?

• Bachelor’s degree in a related field such as mathematics, statistics, computer science, or economics
• Experience in data analysis and modeling
• Knowledge of data visualization tools such as Tableau and Power BI
• Ability to work with large datasets

What is Analytics Consultant Job Knowledge?

• Knowledge of data mining and machine learning techniques
• Understanding of data warehousing and ETL processes
• Knowledge of statistical analysis and predictive modeling
• Understanding of data governance and security

What is Analytics Consultant Job Experience?

• At least 2 years of experience in data analysis and modeling
• Experience in developing and deploying predictive models
• Experience in working with large datasets

What is Analytics Consultant Job Responsibilities?

• Gather, analyze, and interpret data to identify trends and patterns
• Develop models to predict future outcomes and provide recommendations
• Communicate findings to stakeholders in a clear and concise manner
• Develop and deploy predictive models
• Monitor data quality and accuracy
• Ensure data security and governance