RQ07955 - Sr. Data Analytical Specialist Scientist

Must Haves:

• Demonstrates efficiency in Structured Query Language (SQL) to access databases to conduct research and use applications to retrieve and manipulate data from databases located on different platforms.
• Demonstrate knowledge of data skills, methods, techniques, and tools, including data mining, statistical analysis, statistical models and algorithms on machine learning, deep learning, natural language processing, artificial intelligence and other related disciplines
• Ability to analyze data in source systems to identify data quality issues (e.g., missing values, duplicate meanings, and invalid data)
• Use creative thinking and propose innovative ways as it relates to data mining, behavioural economics, statistics and statistical models, algorithms, data integration, information management, predictive analytics and analytics modeling, and data-related information technology

Nice to Have :

• Experience with coding skills in various data languages (e.g. R, Python) and proficiency with various, modeling, analytics and data visualization software tools (R Shiny, PowerBI, etc.)

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 clients 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