Digital Analytics Engineer

Infojini Inc is focused on digital data analytics, and they are seeking a Digital Analytics Engineer to maintain and collect digital data for various platforms. The role involves defining tracking requirements, administering tools, analyzing performance data, and building interactive dashboards while ensuring data quality and compliance.

Responsibilities:

• Maintain and collect digital data collection and analytics for web, social, apps, and campaigns by defining tracking requirements, administering tools (e.g., GA4/GTM), and maintaining tags, conversions, and metrics
• Analyzes and visualizes performance data to deliver insights, lead business reviews, and recommend strategic actions
• Gathers reporting needs, translates them into user stories, and builds interactive dashboards/reports in Looker and Power BI using SQL/Excel, while ensuring data quality, governance, and compliance

Requirements:

• Three (3) years of experience in digital / web analytics (e.g., Google Analytics, Google Tag Manager, HTML, etc.)
• Three (3) years of experience querying data in a relational database environment (e.g., Snowflake, SQL Server, Oracle etc.)
• Three (3) years of experience in data analysis (e.g., Excel, R, Python, etc.)
• Two (2) years of experience in building dashboards or reports (e.g., Looker, Power BI, etc.)
• One (1) year of experience facilitating meetings and presenting analytical findings
• A bachelor's degree in Marketing, Business Analytics, Information Systems, or a similar field
• Basic understanding of how digital data is collected (e.g., events, pixels, cookies, etc.)
• Familiar with digital analytic tools (e.g., Google Analytics, Google Tag Manager, etc.)
• Basic understanding of website development and processes (HTML, CSS, Javascript, etc.)
• Familiar with data validation techniques
• Fostering an inclusive workplace by upholding Community Transit's core values in support of the organization's vision and mission
• Ability to frame business questions into data analysis problems and develop solutions
• Proficient in configuring Google Analytics, Google Tag Manager and similar digital tools
• Proficient in intermediate data manipulation (data validation, window or custom functions, pivot/unpivot) and analysis using Excel, SQL, Dax, and Python/R
• Strong skills in Looker and Power BI report creation
• Data cleaning, validation, and review techniques
• Strong problem-solving skills and critical thinking abilities
• Ability to work with limited supervision
• Ability to write technical documentation for standard processes
• Ability to communicate complex technical information to various audiences through reports and presentations
• Willingness to stay updated with the latest developments in the field of digital data analysis and to continue learning and improving skills
• Strong organization and prioritization skills for handling multiple tasks and projects
• Team player: encouraging, communicative, supporting, contributing, and enthusiastic