Analytics Engineer Growth Tech (Freelance)

About us

Adasight helps startups and scale-ups unlock their growth potential with the help of data. As an interdisciplinary team, we bridge growth methodologies with technical expertise and execution.

We consist of data-savvy marketers, product analysts, data engineers, and analysts, to tackle what we call Growth Analytics: Combining acquisition-marketing analytics and product analytics. Some of our clients are cool startups  like Personio and  Sift.

Growth doesn’t stop with our clients but is part of our company DNA for professional development and career progression. We believe that professional success should not depend on where you have started, but on where you want to go and how eager they are to get there. As a global remote team, we adopt new technologies and ideas in a rapidly changing world.

Join our team, to be part of the future of work, and build something truly meaningful.

Overview

The Analytics Engineer will be key in constructing and optimising data infrastructures tailored to our clients' unique needs. This role combines technical expertise in data modeling and engineering with a deep understanding of MarTech stacks, ensuring our clients can leverage their data for strategic decision-making.

Key Responsibilities

• Data Infrastructure Development: Design, build, and maintain robust data pipelines, models, and warehouses, supporting marketing and sales initiatives.
• MarTech Integration: Seamlessly integrate MarTech platforms (e.g., Salesforce, Marketo, Braze  HubSpot, Google Analytics, Segment, Snowflake, Amplitude ensuring efficient data flow and quality.
• Performance Optimization: Enhance data performance and scalability to accommodate large data volumes and support business growth.
• Cross-functional Collaboration: Partner with marketing, sales, and data science teams to gather and prioritize data requirements, driving key data initiatives.
• Custom Analytics Solutions: Collaborate with stakeholders to develop tailored analytics solutions, meeting unique business demands.
• Industry Leadership: Stay at the forefront of MarTech and data engineering trends, sharing knowledge and insights to foster community growth.

Skills & Qualifications

• Proven Data Engineering Background: Extensive experience in data engineering, with a focus on building and managing client data infrastructure.
• MarTech Stack Expertise: Familiarity with integrating and optimizing MarTech platforms (e.g., Salesforce, Marketo, Braze HubSpot into Amplitude) within client data ecosystems.
• Agile Project Management: Proficiency with Jira for agile project management, from planning to implementation.
• CI/CD Knowledge: Solid experience with CI/CD practices using GitLab and GitHub to streamline data operations.
• Communication and Collaboration: Excellent communication skills, capable of working effectively with international clients and cross-functional teams.

Application Process

If you're ready to use your MarTech and data engineering expertise to make a significant impact, please send your resume and a motivation letter to hello@adasight.com. Share with us your experiences, why you’re passionate about data engineering in MarTech, and how you envision contributing to our team.

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