Key Responsibilities:

• Data Architecture and Management: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices.
• Tool Integration: Integrate new marketing technology tools and software, particularly focusing on Braze or equivalent platforms, to enhance marketing strategies and outreach.
• Data Analysis and Insights: Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Extract and analyze large volumes of data to glean actionable insights for strategic marketing decisions.
• Campaign Management: Set up and monitor automated marketing campaigns. Analyze performance and adjust strategies to maximize campaign effectiveness.
• Testing and Optimization: Design and execute A/B testing across campaign variables to continuously improve ROI. Report on findings and make data-driven recommendations. - Reporting: Develop reports and dashboards for business teams, highlighting key marketing metrics and insights in an understandable format.
• Collaboration and Leadership: Work closely with marketing, sales, and IT departments to align technology, data, and business goals. Lead and mentor a team of data engineers and analysts.

Required Skills and Qualifications: -

• Expertise in SQL: Proficient in writing complex SQL queries for data analysis and business intelligence.
• Customer Analytics: Deep understanding of customer data analysis and its application in personalization and targeted marketing
• Hands on experience in Bigquery and GCP
• Marketing Technology Platforms: Extensive experience with marketing automation tools such as Braze, with a strong ability to leverage technology for marketing purposes.
• Testing and Analysis: Proven ability in setting up and interpreting A/B or multivariate tests.
• Communication Skills: Excellent communication skills, capable of working effectively with crossfunctional teams and presenting data-driven insights to stakeholders.
• Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field.