Data Analyst

Konrad; Toronto; Hybrid; CAD 75,000 - 100,000; Full time

Benefits offered by this job

Retirement Planning

Parental Leave Program

Flexible Working Hours

Work from Home Flexibility

Service Recognition Programs

Socials, Outings & Retreats

Culture of Learning & Development

Job summary

Konrad is seeking an early-to-mid career Specialist, Digital with a focus on Data Analytics in Toronto. You will support client engagements by translating business questions into analytical requirements and building dashboards to track KPIs.

You will work with senior analysts, data scientists, engineers, product managers, and stakeholders, growing skills in analytics, digital product development, and UX/CX while improving reporting quality and data governance practices.

Qualifications

• Minimum 2+ years of experience in a data analyst, BI, or analytics-focused role.
• Programming experience in Python, Bash, or R.
• SQL proficiency and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery).
• Experience with BI and data visualization tools (Looker, Tableau, Power BI).
• Foundational understanding of data modeling and analytics best practices.
• Experience defining and tracking KPIs and metrics.
• A/B testing and causal analysis.
• Strong analytical and problem-solving skills with attention to detail.
• Clear written and verbal communication skills.
• Ability to work collaboratively in cross-functional and consulting-style environments.
• Interest in learning about data governance, privacy, and security best practices.

Responsibilities

• Support client and internal teams in understanding business questions and translating them into analytical requirements
• Analyze data to identify trends, patterns, and insights under the guidance of senior team members
• Build and maintain dashboards and recurring reports to track key metrics and performance indicators
• Assist in documenting metrics, definitions, and analytics processes
• Collaborate with data engineers and other analysts to support data modeling and reporting layers
• Communicate insights clearly through visualizations, summaries, and presentations
• Proactively identify opportunities to improve reporting, data quality, and analytical workflows

Skills

Data analysis

SQL

KPIs & metrics

A/B testing

Python

R

BI tools (Looker/Tableau/Power BI)

Tools

Looker

Tableau

Power BI

Job description

This role sits on our Digital team, where your internal title will be Specialist, Digital, working primarily in a data analytics capacity across client engagements.

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill set. Leveraging your analytics background, you will support the delivery of digital products for our clients through analytics and reporting solutions that help organizations better understand their data and make informed decisions.

In addition to your analytics work, you will gain exposure to broader areas of digital consulting, including digital product development, digital transformation, and user experience (UX/CX). You are interested in understanding how data supports product decisions, customer experiences, and overall business strategy.

You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation, while also building broader consulting skills across areas such as project management, user experience, and design thinking.

You are curious, detail-oriented, and motivated to continuously improve your analytical and consulting capabilities.

What You’ll Do

• Support client and internal teams in understanding business questions and translating them into analytical requirements
• Analyze data to identify trends, patterns, and insights under the guidance of senior team members
• Build and maintain dashboards and recurring reports to track key metrics and performance indicators
• Assist in documenting metrics, definitions, and analytics processes
• Collaborate with data engineers and other analysts to support data modeling and reporting layers
• Communicate insights clearly through visualizations, summaries, and presentations
• Proactively identify opportunities to improve reporting, data quality, and analytical workflows

Qualifications

• Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role
• Programming experience in Python, Bash scripting, R or related language
• Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
• Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI)
• Foundational understanding of data modeling and analytics best practices
• Experience defining and tracking KPIs and metrics
• A/B testing and causal analysis
• Strong analytical and problem-solving skills with attention to detail
• Clear written and verbal communication skills
• Ability to work collaboratively in cross-functional and consulting-style environments
• Interest in learning about data governance, privacy, and security best practices

Perks and Benefits

• Retirement Planning
• Parental Leave Program
• Flexible Working Hours
• Work from Home Flexibility
• Service Recognition Programs
• Socials, Outings & Retreats
• Culture of Learning & Development

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $75,000 to $100,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.