Senior Manager, Data Enablement & Business Intelligence
Senior Manager, Data Enablement & Business Intelligence
Posted on :
04-07-2025
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1 Vacancy
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Job Description
Job Summary: Are you passionate about transforming data into powerful business insights Do you thrive at the intersection of strategy technology and innovation EQ Bank is on a mission to redefine banking through dataand were looking for a visionary Business Intelligence Lead to help us get there.
As a key member of our Insights & Analytics team youll be the architect behind the dashboards data pipelines and tooling that power real-time decision-making across EQ Bank. Youll work as an individual contributor while partnering with senior leaders data scientists and engineers to unlock the full potential of our data ecosystemdriving smarter strategies faster execution and measurable impact.
This is more than a BI role. Its a chance to shape the future of data at one of Canadas most innovative digital banks
Key Responsibilities:
- 1. Product & Executive Dashboards Self-Serve Analytics (60%)
- 2. Data Strategy & Enablement (30%)
- 3. Data Tooling & Infrastructure (10%)
Define and execute a bold dashboarding strategy that empowers teams across Product Strategy and Marketing.
Build dynamic scalable dashboards that deliver real-time insights and drive autonomous decision-making.
Lead deep-dive analyses using SQL and Python to uncover trends diagnose issues and surface opportunities.
Champion self-serve analytics by automating workflows and reducing reliance on centralized data teams.
Design and deploy temporary ETL/ELT pipelines to support agile product experimentation and rapid insight delivery.
Partner with the Head of Insights & Analytics to shape EQ Banks data acquisition roadmap.
Collaborate with Tech & Engineering to ensure seamless data integration quality and compliance.
Drive the migration to Azure Fabric ensuring scalable reliable access to analytics-ready data.
Proactively identify and resolve data availability gaps to ensure 24/7 access for analytics teams
Lead the development of a modern data tooling strategy in collaboration with Enterprise Data and Cloud Ops.
Build business cases for new tools that enhance product development data access and operational efficiency.
Own and optimize real-time data pipelines for marketing and communicationsensuring theyre fast resilient and future-proof
Knowledge/Skill Requirements:
- Bachelors or Masters degree in computer science Engineering Data Science Business Analytics or a related field.
- 8 years of hands-on experience in business intelligence analytics or data engineering with a focus on data systems dashboarding and product analytics.
- Proven track record of building and scaling data pipelines APIs and real-time analytics solutions in cloud environments particularly Azure.
- Experience in leading cross-functional teams and collaborating with Product Strategy Marketing and Engineering teams to deliver data-driven strategies and solutions.
- Expertise in SQL and experience with advanced data modeling and data manipulation techniques.
- Technical Expertise:
Strong proficiency in Python or Scala with hands-on experience in building distributed systems and complex data pipelines to support high-volume real-time data workflows.
Proven experience in architecting and implementing robust scalable data pipelines for data extraction transformation and loading (ETL/ELT) workflows. Ability to design develop and deploy APIs to integrate and automate data flows across systems.
In-depth knowledge of building scalable systems capable of handling large datasets and high transaction volumes. Strong experience in system architecture ensuring high availability performance and reliability of data infrastructure.
Must have hands-on experience with Azure-based tools like Azure Data Factory Power BI and Azure ML enabling the design and implementation of cloud-based data solutions. Familiarity with Azure Databricks or similar platforms (e.g. Snowflake) is highly desirable.
Deep understanding and hands-on experience with modern data warehousing solutions (e.g. Snowflake BigQuery Redshift) including data modeling data lake integration and performance optimization.
Strong experience working with big data technologies such as Spark Hadoop and distributed processing tools optimizing data processing and query performance.
Expertise in advanced SQL for complex data manipulation optimization and data modeling. Proficiency in writing efficient queries for large datasets ensuring data quality and applying advanced techniques like window functions subqueries and indexing for performance optimization.
Experience with tools like dbt Airflow Prefect and Fivetran to manage data workflows and automate tasks.
Familiarity with RESTful API design for integrating various data sources and ensuring seamless flow across data pipelines.
Strong experience in building interactive and insightful data visualizations using tools like Power BI Tableau or custom web-based solutions.
Proficiency in JavaScript for implementing custom visualizations building dynamic dashboards and interacting with APIs in the front-end environment.
Knowledge and hands-on experience with messaging queues (e.g. Kafka RabbitMQ SQS) for ensuring reliable communication and data processing in distributed systems. Ability to manage real-time data ingestion and event-driven architectures effectively.
Required Experience:
Senior Manager
Employment Type
Full-Time
Key Skills
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