Data Analyst

At Curamando we challenge the status quo and rely on data to guide our clients' initiatives and strategies. As an expert consultant, your main goal will be to stay one step ahead of Marketing and IT's needs by supporting clients with insights that drive better decision making. In this role, you’ll apply your experience and expertise in quantitative analysis and problem solving to help clients see beyond the numbers and develop a deeper understanding of their business.
As a Data Analyst at Curamando you will help our clients:
Create business value by applying appropriate analytical methods that leads to actionable insights
Implement, refine, and automate BI solutions by applying technical know-how, best practices, and processes
Establish operative models and KPI frameworks that promotes steering aligned with business strategy and objectives
Build stellar analytic teams and implement modern data architecture

You will also be a crucial member within Curamando that:
Is a part of growing our Advanced Analytics team and value offering
Support other areas such as SEO, Marketing with your domain expertise
Share your knowledge and point of view with other colleagues
Supports our commercial team in identifying and creating client proposals

Your profile and experience:
2 + years of experience as BI Analyst, Data Analyst, Data Scientist or similar role
Proficient Knowledge in Power BI or Tableau (Looker, Data Studio, Datorama is also merited)
Solid understanding of data visualization, and how to convey a story in the best way
Extensive knowledge of SQL
Experience working with any of the major cloud platforms, with focus on analytics components such as BigQuery, Redshift or similar
Intermediate understanding of data architecture, data pipelines and data transformation
Experience from collaboration with Sales, and Marketing, supporting them with ad hoc analysis and insights on a regular basis
Strong business acumen and knowledge regarding digital marketing
Great communication skills
Fluent in English

Other valued skills:
Experience with Python, or R
Experience working with Google Analytics or similar tool
Experience with analytics platforms such as Alteryx or Knime
Good understanding of descriptive and inferential statistics
An interest in Machine Learning and Artificial Intelligence.