About us:
Brado is a consumer engagement firm. Our mission is to become the best in the world at empowering brands and organizations to engage with people on their most important life journeys. Across marketing, communications, innovation and consumer engagement technology, we provide transformative results for our clients.
Brado offers market research and strategy services, digital marketing services as well as an integrated consumer engagement technology solution.
Our Values: At Brado, we value the individual. We believe work and life can be synergistic and should not be at odds. The joy and renewal you get from each source must fuel the other. We have and will continue to cultivate a team who celebrates our diversity of thoughts, beliefs, backgrounds, and lifestyles. We are driven by our passion to do great work with great clients that are truly changing lives.
The Role:
We are seeking an enthusiastic, detail-oriented Digital Marketing Data Analyst to join our growing analytics team. In this role, you will primarily be responsible for maintaining, enhancing, and updating digital marketing reports, dashboards, and analytics insights for a diverse range of clients. You will work closely under the mentorship of senior team members, gaining hands-on experience and the opportunity to learn new analytical and technical skills. This position is perfect for someone early in their career who has foundational digital marketing or analytics training and wants to grow within a supportive environment.
Key Areas of Responsibility
· Create, update, and maintain regular client reports and dashboards using platforms such as Google Looker Studio (Primary), Power BI, Tableau, Google Analytics (GA4), and BigQuery.
· Conduct data quality checks and troubleshooting to ensure accuracy and reliability of client-facing analytics reports.
· Assist senior analysts in the extraction, transformation, and loading (ETL) of data for advanced analysis.
· Support ad-hoc data requests and analysis from internal team members and clients.
· Learn and assist with data integration and workflow automation tasks under guidance from the Data Engineer.
· Document and standardize analytics processes, report structures, and best practices.
· Participate in team meetings, provide proactive updates on project statuses, and collaborate effectively across departments.
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