Digital Analytics Specialist: AI-Driven Product Insights

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 in Toronto is seeking a Specialist, Digital focused on Data Analytics. You will support client engagements by turning questions into analytics requirements and delivering dashboards and reports.

As an early-to-mid career data professional, you will work with senior analysts, data scientists, engineers, and product teams across client projects, expanding your consulting skills while delivering measurable insights and data quality improvements.

Qualifications

• 2+ years in data analytics or BI role.
• Proficiency in Python, SQL, and scripting.
• Experience with cloud data warehouses (Snowflake/BigQuery).
• Experience with BI tools (Looker/Tableau/Power BI).
• Knowledge of KPI tracking and analytics best practices.

Responsibilities

• Understand business questions and translate into analytical requirements.
• Analyze data to identify trends and insights with guidance.
• Build and maintain dashboards and recurring reports.
• Document metrics, definitions, and analytics processes.
• Collaborate with data engineers to support data modeling and reporting.
• Communicate insights via visualizations and presentations.
• Identify opportunities to improve reporting and data quality.

Skills

Data analytics

Python

SQL

R

Bash

Looker

Tableau

Power BI

A/B testing

KPI tracking

Data modeling

Communication

Tools

Snowflake

Databricks

Redshift

BigQuery

Job description

Konrad in Toronto is seeking a Specialist, Digital focused on Data Analytics. You will support client engagements by turning questions into analytics requirements and delivering dashboards and reports.

As an early-to-mid career data professional, you will work with senior analysts, data scientists, engineers, and product teams across client projects, expanding your consulting skills while delivering measurable insights and data quality improvements.