Manager, Data Analytics

Fasken•Toronto, ON

6d•Hybrid

About The Position

Fasken is seeking a Manager, Data Analytics to act as a senior analytics leader and business partner within the Data Analytics & Engineering department. This role sits at the intersection of business strategy, analytics, and data governance. You will proactively engage with business stakeholders to uncover opportunities, propose meaningful KPIs, deliver insights, and influence decision-making across the firm. This role requires strong technical depth, excellent communication skills, and the credibility to present to firm leadership while operating within strict governance and ethical constraints.

Requirements

Bachelor’s degree in math, economics, finance, accounting, statistics, engineering, computer science, CPA, MBA, or other quantitative field, or equivalent level of experience
5-7+ years of experience in data analytics, business intelligence, data engineering, consulting, or a related field
Strong expertise in Power BI (Tableau acceptable)
Advanced proficiency in SQL and/or Python (e.g. Pandas Dataframe)
Experience working with data lake or enterprise-scale data platforms (Microsoft Azure, Microsoft Fabric, AWS, Snowflake, Google Cloud, etc.)
Strong understanding of data integrity, validation, and governance principles
Exceptional written and verbal communication skills

Nice To Haves

Relevant professional certifications are an asset (eg Microsoft)
French is an asset
Knowledge of the professional services industry is an asset

Responsibilities

Act as the primary point of contact for business stakeholders on data, reporting, and analytical insights
Lead meetings and conversations with business partners to explain analytical findings, translate data into clear, actionable insights, and recommend KPIs aligned with firm and practice group objectives
Proactively identify opportunities and push insights to stakeholders
Build strong, trusted relationships across the firm and operate as a strategic advisor
Design, build, and maintain executive and operational dashboards, standard and ad hoc reports, and alerts and performance monitoring solutions
Prepare and present quarterly and ad hoc reports to senior leadership and firm committees
Ensure analytics solutions are well-documented, scalable, and aligned with firm standards
Support and guide analysts on best practices in analytics and storytelling
Lead special projects
Support periodic activities (Year end, Budgets, etc.)
Demonstrate strong hands-on experience with Power BI, PowerBI Report Builder (Tableau experience also acceptable)
Use SQL and/or Python/Data frames to understand and navigate the firm’s data schemas, validate data accuracy, support complex analytical use cases, and understand and or edit transformation Notebooks
Operate confidently within a data lake or lakehouse environment, navigating across multiple data domains and sources
Leverage Microsoft Copilot to analyze data, optimize queries and scripts, and build customized data agents to accelerate insight delivery and operational efficiency
Work closely with data engineering to ensure analytics solutions are built on reliable, well-modeled data
Proven ability to work effectively with a wide variety of data sources, including structured, semi-structured, and unstructured data
Ability to leverage both internal and external data sources to deliver high-value, data-driven insights that support firm decision-making
Maintain a strong sense of data integrity, ensuring insights are accurate, defensible, and properly supported by data
Adhere strictly to governance, confidentiality, and ethical requirements (including ethical walls)
Serve as an ambassador for responsible and compliant data usage across the firm
Ensure reports and insights meet the firm’s standards for accuracy, clarity, and trustworthiness
Oversee and lead data governance initiatives, leveraging third-party tools and external data resources where appropriate to enhance data quality, compliance, and scalability
Lead complex and high-visibility special projects across the firm
Coordinate with data engineering, governance, and technology teams as needed
Identify when additional expertise or capacity is required and call in support appropriately
Influence without direct authority, leveraging collaboration and credibility
Present confidently to firm leadership and senior stakeholders
Communicate complex analytical concepts in plain, business-friendly language
Work effectively with teams distributed across multiple offices and time zones
Foster a culture of collaboration, curiosity, and continuous improvement