Smartly.io is looking for a manager to lead our Data Platform & Analytics team! This team works with different parts of the organization, spanning from Product Management and Design to Customer Success, Sales, Marketing and Finance. Our team develops scalable data solutions to questions ranging from product feature adoption to customer profitability and churn. This team takes a holistic approach to data, involving creation of high quality data pipelines, warehouses, and visualizations to enable Smartly and its partners to make data-driven decisions.

We are looking for an experienced leader, or a person with a strong urge to become one, to lead the team and to make Smartly an even more data driven company. You will interact with stakeholders to ensure that we are working on the high impact things, help to plan the conceptual and technical aspects of our data solutions, and coach the team of data engineers and analysts to do their best work yet. You will also get a chance to get your hands dirty in the data and to build things yourself!

At Smartly.io analytics runs on the modern data stack. We utilize Airflow, Segment and Fivetran for data ingestion, dbt for data modeling, Tableau for productionized dashboards and Redash and Jupyter Notebooks for analyses. You will own the tech stack, and be responsible for developing our technical capabilities further. In addition to the tech stack you will manage relations with the different operational units, ensuring that we work towards a common source of truth based on a reliable, trustworthy data platform.

As Manager Data Platform & Analytics Smartly.io, you will:

• Develop and automate a world class large scale data processing system for supporting analytics at Smartly
• Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
• Lead analytics projects so that stakeholders get the information they need to make decisions
• Get your hands dirty with data engineering and analytics to ensure high quality work
• Help the team members develop in their skills and careers
• Get an understanding of our product data and help improve the tracking of key features
• Gain an in-depth understanding of what drives our success
• Be an important part of our higher level data driven decision making process

What we are looking for:

• Demonstrable technical skills in analytics, data engineering, and statistical analysis
• 3+ years of experience in working in a data-driven environment
• Strong communication and presentation skills, you can turn data into stories and convince others with your expertise.
• An understanding of data warehousing, and engineering practices
• Experience with product analytics
• Working with data on terabyte scale
• Knowledge of at least one programming language, preferably Python, TypeScript or Ruby
• Fluency in SQL
• An academic degree in a relevant field

What we offer you:

• You will have a holistic view and ownership of our analytics and data engineering
• You get to work in a team that has a big impact on our entire business
• You will be working with a technically complex area and help us become more data driven
• You get to work with the big picture but also dive into the details when needed

#LI-NH1 #LI-Hybrid