Choose the proper metrics for tracking and understanding current and future activities.
Perform proactive investigations of data sources to discover new trends, opportunities, or problems.
Interpret data, analyze results using statistical techniques and provide ongoing reports
Write queries to produce data sets answering requests as accurately and completely as possible—this includes evaluating available data, formatting, cleaning, and validating data
Design and build dashboards, reports, and supporting data tables.
Present data in a way that is understandable to those with limited data knowledge or experience.
Ability to mine enormous volumes of data and pull out key insights.
Identify, analyze, and interpret trends or patterns in complex data sets.
Assist in data mining, analyze results using statistical techniques and provide ongoing reports, per business requirements.
Developing data models for ongoing audience segmentation, benchmarking, trending and competitive analysis.

Requirements

Proven analytical and quantitative skills and an ability to use hard data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
Bachelor’s degree in Math, Statistics, Computer Science, Business, Finance or any related field.
Experienced in data mining and using databases in a business environment and developing insights across various areas of customer-related data.
A clear passion for learning new business analysis techniques independently and continuously.
Proven working experience as a Data Analyst or Business Data Analyst
Technical expertise regarding data models, Database Design development, data mining and segmentation techniques
Ability to visualization and having experience in BI tools
Ability to develop and perform queries on SQL and knowledge of ETL frameworks.
Good knowledge of Python and its libraries such as NumPy, Pandas, Matplotlib, …
Familiarity with Machine Learning Concepts and tools (Python or R)

مزایا