Data Analytical Specialist/Scientist - Senior

We are looking for a Data Analytics Specialist for a Hybrid role:

Responsibilities:

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

Work closely 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

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

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

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 teamwork 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, and other related disciplines at the specified experience level

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

Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores

Experience designing high quality interfaces to present information in a meaningful way to end users

Broad understanding of data management, financial and business analysis, database architecture, and information visualization

Proficiency in query languages and experience constructing complex query statements

Experience in one or more programming or scripting languages

Strong investigative and logic skills

Proficiency in mathematics and statistics

Awareness of emerging Business Intelligence trends and directions

Functional area experience as required

Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset

Proficiency with desktop analysis software including Microsoft Excel, Access, VBA

Proficiency with Power BI data visualisation tool

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 and statistical models

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 multiple databases (e.g. Oracle MS-SQL) and proficiency with various modeling, analytics and data visualization software tools (PowerBI, etc.)