Data Analyst

LanceSoft Inc; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading data solutions provider in Toronto is seeking an experienced Data Analyst to uncover actionable insights from complex datasets. The ideal candidate will have a proven track record in data analysis and collaboration with Subject Matter Experts (SMEs) to deliver data-driven solutions. Strong skills in SQL, Python, and tools like Tableau or Power BI are essential. This position offers an opportunity to work in a fast-paced environment on impactful projects.

Qualifications

• 5 years of experience in data analysis with a focus on data discovery.
• Proven track record of working with SMEs to provide data solutions.
• Proficiency in SQL for querying and manipulating datasets.

Responsibilities

• Identify and analyze complex datasets to uncover actionable insights.
• Work closely with SMEs to ensure alignment of data solutions.
• Translate technical findings into business-relevant recommendations.

Skills

Data analysis

Stakeholder engagement

SQL

Python

Data visualization (Tableau, Power BI)

Data warehousing concepts

ETL processes

Education

Bachelor’s degree in Business Administration, Data Analytics, Computer Science

Master’s degree

Tools

Tableau

Power BI

AWS

Azure

Google Cloud

Job description

Job Description:
Purpose:
We are seeking a skilled Data Analyst with a strong focus on data discovery and collaboration with Subject Matter Experts (SMEs) to join our dynamic team. The ideal candidate will excel at identifying, exploring, and analyzing complex datasets to uncover actionable insights while working closely with SMEs to ensure data solutions align with business needs. This role requires strong analytical skills, effective communication, and the ability to translate technical findings into business-relevant recommendations.

Candidate Requirements/Must Have Skills:

• 5 years of experience in data analysis, with a focus on data discovery and stakeholder engagement.
• Proven track record of working with SMEs to deliver data-driven solutions.
• Proficiency in SQL for querying and manipulating large datasets.
• Experience with Python, R, or similar for data analysis and visualization, such as BI tools (e.g., Tableau, Power BI) for reporting and dashboard creation.
• Knowledge of data warehousing concepts and ETL processes.

Nice-To-Have Skills:

• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of advanced statistical techniques or machine learning fundamentals.
• Familiarity with Agile or Scrum methodologies.

Soft Skills Required:

• Exceptional communication and interpersonal skills to engage with non-technical SMEs.
• Strong problem-solving skills and attention to detail.
• Ability to manage multiple priorities and deliver results in a fast-paced environment.

Education:

• Bachelor’s degree in Business Administration, Data Analytics, Computer Science, or related field.
• A Master’s degree is considered an asset.