Job Description

Responsibilities

• Lead the development and delivery of functional and ministry-specific analytics to support evidence-based decision-making and produce actionable insights

• Work closely with client?s groups to assess current data analytics and reporting capabilities, gather future-state requirements and identify further opportunities for improvement

• Facilitate decision-making and manage client expectations

• Own the execution of analytics initiatives including end-to-end reporting and data set delivery

• Develop robust statistical models and machine learning algorithms to model business scenarios and extract valid inferences

• Participate in documentation, development, testing, and end user training

• Work with functional area experts, Data Architects and ETL Developers and stakeholders to understand complex business issues and develop appropriate Business Intelligence solutions

• Design methods to capture, structure, transform, and process data to be used to generate models

• Build data models that provide information which is accurate, easy to understand and unbiased

• Communicate complex quantitative analysis in a clear and precise manner, providing useful visuals and summaries

• Provide interpretation, advice, and expertise to client groups and other stakeholders, including direction on how to transform analytics into actionable information and proactive insights that support decision making

General Skills

• Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills

• Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance

• Adept at communicating to both technical and non-technical audiences

• Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level

• Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources

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