- Data Analytics copy
From raw data to actionable insights.
Data is the talk of the town, and everyone wants to keep up with their neighbours. Sure, you could use brute force to dig up mountains of data from all strands of business activity. Or you can build elegant systems to take advantage of the most relevant and useful data for your specific organizational needs—bringing deep insights to the surface, where they can be understood and acted upon.
Ariad analytics and visualization experts illuminate once-hidden links between activities so you can use your data to get ahead, and stay there. So much for just keeping up.
Typical Data Analytics roles
- Data Analyst / Business Intelligence Analyst
(R, Python, SAS, Spark, Hadoop, QlikView, Excel...)
- Web Analyst
(Google Analytics, Google Tag Manager, Google Ads, Adobe Analytics, Hotjar...)
- ETL Developer / Specialist
(SQL, Talend, Azure Data Factory, Apache, Oracle Data Integrator)
- Data Visualization Specialist
(Power BI, Tableau, Google Data Studio, Qlik Sense...)
- Data Architect / Data Modeler
- Data Engineer / Data Scientist
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