Best professionals offering data professional services in Winnipeg
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Vasu Bhatia
Data Analyst(Power bi developer)
Technology / Internet
A dedicated and innovative data professional with around 5 years of experience in delivering data-driven insights, I have a proven track record of usi ...
Service Offered in Winnipeg, Manitoba
Requirements for Data Professionals
Professionals offering data services in Winnipeg, Manitoba, require a strong background in computer science, data analysis, and business acumen. They must have excellent communication and problem-solving skills, as well as the ability to work effectively in a team environment.
Recommended Accreditations and Certifications
Industry professionals offering data services in Winnipeg, Manitoba, are recommended to have certifications in data analysis, machine learning, and data visualization. They must also have experience working with data management tools and technologies.
Choosing the Best Data Service Provider
When choosing a data service provider in Winnipeg, Manitoba, clients must consider their expertise, experience, and reputation. They must also evaluate their communication skills, ability to meet deadlines, and willingness to adapt to changing project requirements.
Questions to Ask Data Professionals
- What experience do you have with data analysis and management?
- What certifications do you hold in data analysis and machine learning?
- Can you provide examples of successful data projects you have worked on?
- How do you communicate complex data insights to clients?
Useful References
Industry associations, such as the Canadian Institute of Data Science and Analytics, provide valuable resources and information on data services and best practices.
Average Prices for Data Services in Winnipeg, Manitoba
The average daily fee for data services in Winnipeg, Manitoba, is $200-$500 CAD. However, prices can vary depending on the complexity of the project, the experience of the professional, and the technology used.
Requesting a Quote for Data Services
When requesting a quote for data services, clients must provide detailed information on their project requirements, including the scope, timeline, and budget. They must also ask about the professional's experience, certifications, and communication style to ensure they are hiring someone qualified and reliable.
The platform will match the client with a suitable data professional based on their requirements and budget. The client will then review the professional's profile, experience, and portfolio before making a decision.
Once the client has selected a professional, they will negotiate the terms of the project, including the price, timeline, and deliverables. The platform will facilitate communication between the client and professional, ensuring a smooth and successful project outcome.
Fees for Data Freelancers
The average daily fee for the experienced freelancers is $250 CAD.
The fee varies depending on the city in which the freelancer are located. For instance, the average daily for a Data freelancer in Winnipeg is $200 CAD while in Calgary is $220 CAD or in Toronto is $280 CAD.
data professional jobs near Winnipeg
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Data Engineer
1 month ago
Winnipeg Airports Authority Winnipeg, MB RH CThe Data Engineer will be responsible for building and managing data pipelines to support enterprise data and analytics initiatives. This position involves collaborating with internal and external stakeholders and providing training on data tools and products. · ...
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Senior Data Analyst
1 month ago
Wawanesa Insurance WinnipegJob summaryEsta emocionante oportunidad laboral como Analista de Datos (o Senior Data Analyst) formará parte del equipo Personal Lines Pricing Insights y jugará un papel clave en la creación de productos de datos y informes que apoyen las decisiones en Precios y otras funciones r ...
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AI & Data Analyst
3 weeks ago
Convergence Networks WinnipegThe Intelligent Solutions Group (ISG) at Convergence Networks is looking for a Power BI Specialist to transform data into clear, actionable insights for our clients. · Conduct exploratory analysis and present insights to non-technical audiences · Partner with client stakeholders ...