Data Analytics
People working in data analytics can perform a wide range of tasks, from gathering and organizing data to cleaning and transforming it into useful insights. They are typically responsible for identifying patterns, trends, or correlations in data sets that businesses can use to inform their decision-making. Data analysts often use statistical techniques such as predictive modeling, forecasting, and machine learning techniques to draw out meaningful insights from datasets. Additionally, they may need to use visualization tools like Tableau or Power BI to create visual representations of the data.
We also recruit into Product Analytics. This is a type of data analysis that focuses on understanding the behavior of users and how they interact with products. People working in this field use a variety of tools and techniques to measure usage, engagement, conversions and other key indicators for digital products. Product analysts can then apply their findings to develop strategies for optimizing products and improving user experiences.
Finding people qualified in Data or Product Analytics isn’t easy. Bamboo Crowd has over 10 years of experience hiring in Analytics for corporates, consultancies, startups, new ventures, accelerators, and incubators.
Job
Titles
Data Analyst, Business Intelligence Analyst, Product Data Analyst, Data Scientist, Machine Learning Engineer, Senior Data Analyst, Head of Data Analytics, Data Analytics Manager, Head of Product Analytics, Product Analytics Lead, VP Data Analytical, VP Data Strategy, Data Strategist, Head of Business Intelligence
Technologies
& Skills
MySQL, Postgres, TensorFlow, Scikit-Learn, R, Pandas, AWS, Azure, Python, Java, Tableau, Journey Mapping, Customer Segmentation, Predictive Analytics, PowerBI, AB testing, A/B Measurement Frameworks
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