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The Tech Engagement Lead at Improvado will execute and lead Professional Services projects, utilizing expertise in solution design, data modeling, and BI. Responsibilities include project delivery management, engaging with clients, and collaborating with internal teams to create data-informed insights and optimize service offerings.

The API Data Source Analyst will learn and contribute to the improvement of the Improvado product, build ETL/ELT pipelines, interact with customers to understand their needs, work with API data sources, create dashboards, and execute data transformations using SQL and DBT.

The Engagement Lead at Improvado is responsible for executing Professional Services projects, utilizing expertise in solution design, data modeling, and BI. This role involves direct engagement with C-level executives, managing cross-functional teams, and delivering value through comprehensive project execution. The Lead ensures all client needs are met while driving technical aspects of project delivery.

As an Engagement Lead, you will execute and lead professional services projects, engage with C-level clients, and coordinate across sales, product, and operations to ensure client needs are met. You will leverage your expertise in solution design, data modeling, and technical project management to drive project outcomes effectively.

The Marketing Analyst will work closely with the Head of Marketing Analytics to support data collection, business intelligence design, and marketing analytics visualization. They will analyze campaign data, utilize Improvado SaaS tools, and communicate with data analysts to optimize marketing strategies and decision-making processes.

In this role, you will collaborate with the Head of Marketing Analytics to manage client data requests, assist with campaign analysis, and utilize Improvado's SaaS tools for ETL processes. The position requires an analytical mindset and proficiency in data analytics to support effective marketing initiatives.

The Tech Lead will oversee the development of advanced data modeling and attribution strategies to meet client objectives, supervising a team of Data Analysts, refining project delivery methodologies, and guiding clients for project success through technical expertise.