Data Analytical Specialist Scientist (Junior) 8480-1109

Foilcon; Toronto; Hybrid; CAD 50,000 - 80,000; Full time

Job summary

An established industry player is seeking a Junior Data Analytical Specialist Scientist to join their dynamic team. This hybrid contract position offers a unique opportunity to develop and deliver functional analytics that support evidence-based decision-making. You will collaborate with various client groups, assess data analytics capabilities, and facilitate decision-making processes. The role involves building robust statistical models, developing machine learning algorithms, and transforming complex data into actionable insights. If you are passionate about data and eager to make a meaningful impact, this is the perfect opportunity for you.

Qualifications

• Strong analytical and problem-solving skills with proficiency in statistical modeling.
• Experience with SQL databases and data visualization tools like Power BI and Tableau.

Responsibilities

• Lead the development of analytics to support decision-making and produce actionable insights.
• Work with stakeholders to assess data capabilities and identify improvement opportunities.

Skills

Analytical Skills

Problem-solving Skills

Communication Skills

Statistical Analysis

Data Mining

Machine Learning

Data Visualization

SQL

R Programming

Agile Project Management

Education

Bachelor's Degree in Data Science or related field

Tools

Microsoft Excel

Power BI

R

SQL Databases

Tableau

SAS

Python

Esri/ArcGIS

Job description

Data Analytical Specialist Scientist (Junior) 8480-1109

Join to apply for the Data Analytical Specialist Scientist (Junior) 8480-1109 role at Foilcon.

HM Note: This hybrid contract role is three (3) days in office. Candidates resume must include first and last name.

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 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, 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 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, 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, PowerPivot, Matlab, SPSS, or SAS an asset.
• Proficiency with desktop analysis software including Microsoft Excel, Access, VBA.

Junior Data Scientist Responsibilities

• 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 PowerBI).
• Conducting historical analytics on relational datasets.
• Conducting predictive analytics on relational datasets.
• 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

• Statistical modelling using R script.
• Experience with land-use planning, child care, StatsCan 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.

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 in 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 PowerBI, and PowerViewer, Cognos an asset.

Power BI and Analytics Experience - 25%

• Experience developing business intelligence and various analytics resources.
• Experience with cleaning, transforming, integrating, and visualizing data sets.
• Experience understanding a data model.
• Experience creating interactive visuals.

Communication Skills - 20%

• Experience in developing documentation on data standardization and requirements.
• Demonstrated consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance.
• Strong verbal and written communication skills; with both technical and non-technical audiences.
• A demonstrated team player with a track record for meeting deadlines.

OPS Experience - 5%

• Previous public sector experience in an organization of equivalent size and complexity to the Ontario Public Service.

MUST HAVES:

• Superior Knowledge of MS analytical products in particular Excel and data validation on Excel forms.
• Experience cleaning, transforming, and joining data.
• Experience with SQL databases.
• Experience building visualizations in Microsoft PowerBI.

Seniority level

Entry level

Employment type

Contract

Job function

Research, Analyst, and Information Technology

Industries

IT Services and IT Consulting