Job Description
The Data Analyst will turn data into information, information into insight, and insight into business decisions. Data analyst responsibilities include conducting full lifecycle analysis to incorporate requirements, activities, and style. Data analysts will develop analysis and reporting capabilities. they're going to also monitor performance and internal control plans to spot improvements.Role & Responsibilities:
- Interpret data, analyze results using statistical techniques and supply ongoing reports
- Develop and implement databases, data collection systems, data analytics, and other strategies
- that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators
- Work with management to prioritize business and knowledge needs
- Locate and define new process improvement opportunities from the info.
- Database administration (i.e. permission granting and management) alongside maintaining
performance
Support the delivery of analytics and reporting solutions using BI/Data Visualization software.Assist the team in improving and streamlining processes regarding data flow and data quality to enhance data accuracy, viability, and value.
Apply Machine Learning, AI and large Data algorithms, frameworks and data model to spot new models, patterns and insights
Dashboard designing using BI tools.
The work is of a highly confidential nature and therefore the Analyst must maintain the very best standards of confidentiality.
Qualification
- You should have a Bachelor’s or Master’s degree in computing, Data Science, Software Engineering. Additional years of experience exceeding the minimum requirement also as a proven diary of labor may substitute for a degree.
- 3 years of direct experience with Data Management and Data Science
- skilled in taking knowledge into meaning full insights using ML, AI, and large Data frameworks
- ability to figure and collaborate within a cross-disciplined, open-minded, and artistic team
- an enthusiasm to collaborate, innovate, and solve problems;
- a proven ability to prioritize add a team and independently, and handle multiple complex tasks simultaneously;
Job Skills:
Highly skilled in research and analysis: Very strong qualitative and analytic skills; keen attention to detail and data accuracy.Technical expertise regarding data models, database design development, data processing, and segmentation techniques
Knowledge of statistics and knowledge using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
Excellent communication skills: Strong knowledge of and knowledge with reporting packages (Business Objects etc), databases (SQL, etc), and data visualization tools (Google Data Studio, Microsoft Power BI, Tableau, etc).
Other: Demonstrated competence with using standard data software packages (MS Excel, MS Access, etc).
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