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Best English-speaking freelance Data Modelling Analysts to hire in 2025

Looking to hire English-speaking Data Modelling Analysts for your next project? Browse the world’s best freelance Data Modelling Analysts on Contra.

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Solomon Bilancieri
Florida, USA
5.0
Rating
1
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Explore projects by English-speaking Data Modelling Analysts on Contra

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7
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3
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11
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3
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3
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47
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31
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5
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1
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15
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10
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42
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38
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18
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12
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Top services from English-speaking Data Modelling Analysts on Contra

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Data Analysis

Data Visualizer

Data Modelling Analyst

Power BI consultant

$40/hr

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Data Analysis

Database Engineer

Data Modelling Analyst

Power Bi/ Looker Dashboards

$30/hr

Cover image for Data Analysis/Mapping/Scrapping/Visualisation

Data Analysis

Data Scientist

Data Modelling Analyst

Data Analysis/Mapping/Scrapping/Visualisation

$35/hr

Top locations for English-speaking Data Modelling Analysts

New York, United StatesLondon, United KingdomLos Angeles, United StatesDenver, United States

FAQs

Before hiring a data modelling analyst, understand the specific needs of your project. Know the kind of data you have and the end goals you want to reach. Being clear about these details helps in matching with the right expert.
Ask for examples of past work they have done. Review any case studies or models they have completed that are similar to your project. This helps you understand their experience in data modelling.
A data modelling project plan should include a timeline, major milestones, and clear deliverables. Talk about the tools and technologies that will be used. This plan helps in having clear expectations from start to finish.
A data modelling analyst can help organize and interpret your data. They create models that can lead to better decision-making. Their expertise makes your data more useful and impactful.
Deliverables can include data flow diagrams, entity-relationship models, and reports. Make sure these are detailed enough for anyone to understand. It helps to have a checklist to confirm each part is done.
Talk with your analyst to get an idea of how long tasks take. Consider the complexity of the model and data involved. Create a timeline with some flexibility for unexpected challenges.
A kick-off meeting sets the tone for the project. It gives everyone a chance to understand the goals and discuss any concerns. This makes sure that everyone is on the same page and ready to begin.
Set regular check-ins or updates to see how the project is moving forward. Use tools to track tasks and deliverables. This ensures the project stays on track and meets its deadlines.
Review all the deliverables to ensure they meet your standards. Conduct a final meeting to discuss the work and any follow-up actions. This ensures a smooth handover of the completed project.
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