RQ- Data Analytical Specialist​/Scientist - Junior

RQ08480 - Data Analytical Specialist/Scientist - Junior
Job Openings RQ08480 - Data Analytical Specialist/Scientist - Junior

About the job RQ08480 - Data Analytical Specialist/Scientist - Junior
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 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 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

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, Power Pivot, Matlab, SPSS, or SAS an asset

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

A junior (Level
1) Data Scientist is required to support the assessment and analytics of datasets for proofs-of-concept. The general scope of work for the data scientist involves:

Assessing datasets from various ministry sources, including those involved with land-use planning, child care, and school related data;

Identifying potential gaps (e.g. inconsistencies, errors) in datasets and documenting gaps as well as steps for resolution;

Identifying new datasets needed to improve analytical capabilities of a proof of concept;
Developing reports in various visualization tools (e.g. GIS, Tableau, Microsoft Power

BI);

Conducting historical analytics on relational datasets;

Conducting predictive analytics on relational datasets; and

Documenting the findings at each phase of work and reporting the findings to the team;

The candidate must be able to work in an agile/iterative project environment.

Skills:

Experience with land-use planning, child care, Stats Can demographics, and Ontario Open Data is an asset

Experience integrating R Script into Microsoft Power BI

Experience with predictive analytics

Experience with dimensionalized data / building cubes

Skills Experience and Skill Set Requirements
Tools and techniques   - 50%

Superior Knowledge of MS analytical products in particular Excel and data validation on Excel forms.

Experience with SQL databases

Experience cleaning, transforming and joining data

Experience is creating and applying data standards

Experience with dimensional data models

Statistical modeling using R and experience integrating R with Microsoft Power BI an asset

Experience building visualizations in R Shiny, SAS, Python, Esri/ArcGIS, Microsoft Power

BI, and Power Viewer, Cognos an asset

Power BI and Analytics Experience  - 25%

Experience…