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- Represent business challenges through mathematical models
- Collect, understand, clean, analyse, integrat,e and investigate internal and external data to achieve the mission
- Uncover data correlations/relationships in support of measurement and prediction
- Select and optimise algorithms using data science tools
- Comply with ethical guidelines and legal requirements
- Identify the right visualisation models depending on the business challenges and the data sets
- Create and test hypotheses
- Address data security through active preventative strategies
- Lead the process of applying data analytics
- Deliver insights from data by optimising the analytics process and presenting visual data representations
- Find, manage, and merge multiple data sources and ensure consistency of datasets
- Communicate patterns and recommend ways of applying data
- Analyse and provide expertise in advanced analytics topics, from a hardware perspective to software optimisation
- Provide inputs to increase the business values of reporting-related activities
- Assist in the development and maintenance of reporting and advanced analytics requirements
- Identify and propose quick wins with good value to enhance agency agility using big data and advanced analytics
- Identify solutions to big data and advanced analytics-related problems
- Minimum 4 years of relevant education (Master’s degree or equivalent), after secondary school
- Minimum 3 years of relevant professional experience in Data Analysis
- Capability to set effective KPIs, read and interpret business data
- Aptitude to spot opportunities for value-adding data analysis
- Familiarity with practices in the area of work that serve end customers and other stakeholders
- Capacity to align activities with business priorities and balance competing interests to drive organizational effectiveness
- Proficiency in communicating efficiently
- In-depth expertise in mathematical models
- Competence in using data analysis tools (Power BI, etc.)
- Understanding of AI tools related to data processing
- Acquaintance with IBM Cloud Pak for Data
- Command of BIGSQL Data Modelling Language and SQL
- Experience with Cognos as a user and administrator
- Exposure to Scikit-learn, ELKI, and other analytics libraries
Sai Prashanth
Recruitment Coordinator
Key Skills
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