Data Engineer

Akkodis; Toronto; On-site; CAD 60,000 - 70,000; Full time

Job summary

An innovative firm is seeking a Senior Technical Recruiter & Talent Acquisition Specialist to drive data analytics initiatives. This role involves collaborating with various teams to deliver insights that support investment decision-making. You'll be responsible for developing data pipelines, visualizing complex data, and contributing to data architecture. If you have a passion for data analysis, strong programming skills in Python and SQL, and a desire to work in a collaborative environment, this is an exciting opportunity to make a significant impact in the field of analytics.

Qualifications

• 3+ years in business-oriented data analytics with strong programming skills.
• Bachelor's or master's degree in relevant quantitative fields required.

Responsibilities

• Support delivery of key reports and insights based on business priorities.
• Develop scalable and automated reports using current technologies.

Skills

Data Analysis

Problem Solving

Python

SQL

Data Visualization

Communication Skills

Independent Research

Stakeholder Communication

Education

Bachelor's or Master's in Mathematics

Degree in Statistics

Degree in Computer Science

Degree in Engineering

Tools

Power BI

Tableau

SQL Server

Snowflake

Spark

Databricks

Azure

AWS

GCP

Job description

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Senior Technical Recruiter & Talent Acquisition Specialist, CHRL Candidate

Overview:

The Data Specialist will report to the Data Analytics Manager and collaborate closely with various investment and corporate teams to support decision-making through analytics.

Key Responsibilities:

• Report and Insight Delivery: Support the team in delivering key reports, insights, and visualizations based on business priorities.
• Data Analysis: Work closely with the team to analyze and interpret complex data sets.
• Data Pipeline Development: Create data pipelines to capture data from multiple sources and formats.
• Data Preparation and Modeling: Prepare and model data to enable easy consumption for reporting purposes.
• Report Implementation: Develop well-designed, scalable, and automated reports using current and emerging technologies.
• Data Visualization: Visualize data and metrics to produce insightful reports following design standards.
• Practice Improvement: Identify and recommend improvements in data analytics practices.
• Status Reporting: Participate in status meetings and communicate progress as appropriate.
• Innovation and Experimentation: Experiment with Large Language Models, assist in developing predictive analyses, and/or Gen-AI applications.
• Data Architecture Contribution: Contribute to the design and implementation of data foundations and architecture to support long-term analytical needs.
• Independent Research: Research potential solutions to programming challenges independently.
• Continuous Learning: Stay updated with technological trends and continuously upgrade personal, technical, and IT-related skills.
• Problem Solving: Utilize innovative approaches to identify, analyze, and solve complex data challenges, ensuring efficient and effective outcomes.
• Stakeholder Communication: Translate complex technical information into clear, concise insights for non-technical stakeholders to enable informed decision-making.
• Additional Duties: Perform other duties as required.

Qualifications:

Education: Bachelor's or master's degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field. A minor or advanced degree in Finance is an asset.

Experience: At least 3 years of experience in business-oriented data analytics.

Skills and Attributes:

• Passion for data analysis and problem-solving to support investment decision-making.
• Self-motivated with the ability to conduct independent research.
• Strong communication skills to effectively collaborate with investment and technology teams.
• Desire to work in a team-based and collaborative environment.
• Strong programming skills in Python and SQL.
• Experience with data warehousing and big data technologies such as SQL Server, Snowflake, Spark, and Databricks.
• Proficiency with data visualization tools like Power BI and Tableau.
• Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services.
• High degree of interest in investment and asset management.
• Experience in the full cycle of analytics solution development.
• Strong problem-solving skills.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology, Health Care Provider, and Finance

• Industries

  IT Services and IT Consulting

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