Marketing Data Analyst

6 days ago

Toronto, Ontario, Canada Healthcare of Ontario Pension Plan Full time

About Us

The Healthcare of Ontario Pension Plan (HOOPP) is a leading pension plan in Canada, dedicated to providing a secure retirement for Ontario healthcare workers.

Job Summary

We are seeking a detail-oriented and versatile Data Analyst to join our Marketing Analytics function to enhance our data management and analytics capabilities. In this position, you will be responsible for handling a variety of data processes including extraction, cleaning, preparation, and validation of complex data sets to support comprehensive reporting.

Key Responsibilities

  • Assist in the collection, cleaning, and preparation of data from diverse sources for reporting purposes
  • Develop advanced dashboards and visualizations using data from different sources to provide meaningful insights
  • Create and maintain data models that ensure data consistency, accuracy, and accessibility
  • Provide ad-hoc reporting support to diverse stakeholders
  • Develop and maintain documentation for data infrastructure and data governance and actively monitor and execute data governance controls
  • Develop and document business processes and workflows for data preparation and marketing analytics processes
  • Collaborate with other departments and data vendors to coordinate data automation and data centralization initiatives
  • Design, develop, and deploy Power BI scripts and perform analysis that can help in decision-making
  • Create complex SQL queries, perform optimization of slow running queries incl. leveraging T-SQL data structures to complement report development
  • Trouble shoot and optimize Power BI and SQL Server report-based data solutions
  • Design, build, and maintain data pipelines and workflows that extract, transform, and load data from various sources into our data warehouse
  • Maintain, integrate, and update data sources to ensure data quality and accuracy
  • Develop and implement data integrity checks and processes, investigate, and resolve data quality issues
  • Structure the collected data into a well-organized format, creating metadata, and maintain a data catalog for easy access and discoverability
  • Implement and test new analytics tracking requirements for new elements and features on our digital properties
  • Maintain and optimize data analytics tools and platforms
  • Stay up-to-date with emerging trends and technologies in marketing analytics, machine learning and automation
  • Apply AI and machine learning concepts in relation to data and analytics initiatives

Requirements

  • Bachelor's degree in computer science, mathematics, or a related field
  • Microsoft Data and/or BI certifications preferred
  • 3-5 years of experience in data analytics preferred
  • Experience with data platforms such as GCP (as a BigQuery Viewer), Data Bricks and/or Snowflake
  • Experience with data Ingestion using Synapse Pipelines and/or Azure Data Factory
  • Intermediate level BI dashboarding and visualization experience with tools such as PowerBI, Tableau or similar; performance optimization tuning for Power BI
  • Strong experience with data manipulation and visualization languages such as T-SQL, DML, DDL, DAX, Python and/or R
  • Knowledge of data analysis, visualization principles, data modeling techniques and best practices
  • Experience developing data governance best practices, processes, and standards
  • Experience creating and documenting end-to-end reporting, data processes and ETL
  • Experience in managing digital marketing and web analytics platforms such as Google Analytics 4 (incl. building reports, dimensions, and calculated metrics) and Google Tag Manager
  • Empathetic, humble, and collaborative mindset with the ability to work well with both technical and non-technical teams
  • Ability to work closely with cross-functional teams, including developers, business analysts, and stakeholders
  • Strong communication skills, capable of presenting data insights to non-technical stakeholders in a clear and concise manner
  • Strong problem-solving and analytical skills
  • Ability to work independently and as part of a team

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