Analytics Engineer

About the Team
The Data Products team is part of the larger Data Engineering and Science team, and has one simple mission: to enable everyone at Miro to use data by making the right data assets available, with confidence, and to provide the tools to work with data products effectively. We are a multifunctional team passionate about building capabilities across the data engineering space: integration, quality management, tooling, discovery, and data modeling. Our objective is to build the data foundation for all of analytics to operate from.
About the Role
Data only becomes useful by the application of structure, and this person's goal will be to help Miro build structure and usability in our data. This person will work closely with the rest of data products, along with our analytics team, in crafting and implementing the data products, tools, and educational activities which enable analytics to use data with maximum effectiveness. This role allows you to wear many hats: architect, developer, teacher.
You will work closely with Business, Growth, and Product Analytics teams to develop their core models and help analysts develop models in the respective marts.You will help us improve our analysts and business users workflow in order to increase their time in flow state while working with data.
What you'll do

• Optimize for long term value by focusing on engineering as opposed to spending time on recurrent ad hoc jobs
• Guide our next iteration of our user events model and events management platform
• Help build and be accountable for the analytics layer of our team's data environment, making data standardized and easily accessible
• Help drive optimization, documentation, testing and tooling to improve data quality and give more autonomy to data analysts, scientists and business users
• Collaborate with, and mentor, data analysts and scientists in building efficient data pipelines and data models
• Collaborate with data engineers to provide reliable data pipelines and DWH serving layer

What you'll need

• Experience working in a fast-paced, high growth company
• 4+ years of experience working in a data engineering, BI, or technical data analytics role
• Experience with SQL and Python/Java
• Solid understanding of current data warehousing, orchestration, pipeline and visualization solutions
• Experience working with dbt, Looker and Snowflake
• Strong opinions about the ideal toolset to enable a high-functioning Analytics team.
• Excellent communication skills, particularly when explaining technical or complex matters to less technical co-workers

What's in it for you

• 401k matching + Competitive equity package
• Excellent Medical, Dental and Vision health benefits
• Fertility & Family Forming Benefits
• Flexible time off
• Lunch, snacks and drinks provided in the office
• Wellbeing benefit and WFH equipment allowance
• Annual learning and development allowance to grow your skills and career
• Up to $2,000 of charitable donation matches each year

The reasonably estimated salary is specific to New York and may not be applicable to other locations. The range for this role is between $142,400 - $213,600 . Included in the total package is an equity component, this may also include variable compensation. Final compensation is based on factors such as the candidate's skills, qualifications, and experience.
About Miro
Miro provides a visual workspace for innovation that enables distributed teams of any size to dream, design, and build the future together. Our mission is to empower teams to create the next big thing by creating a place where teams can create together seamlessly, regardless of location.
Today, more than 50 million users in 180,000 organizations including Nike, Ikea, Deloitte, WPP, and Cisco depend on Miro to improve product development collaboration, to speed up time to market, and to make sure that new products and services deliver on customer needs.
Miro's visual workspace enables distributed teams to come together to synthesize information, develop strategy, design products and services, and manage processes all throughout the innovation lifecycle. When you look at a Miro Board, you can see hundreds of collaborators moving through the space as named cursors on the screen designing, contributing ideas, providing feedback, and co-creating together with shared tools and information.
Everyone in Miro has access to the same shared capabilities designed for innovation including diagramming, wireframing, real-time data visualization, and built-in support for agile practices. Miro's workspace is integrated with more than 130 other applications including Jira, Azure DevOps, Asana, Zoom, Slack, and Teams, many of which offer two-way integrations and can be dynamically updated directly from Miro.
Miro enables organizations to accelerate time to market and ensure continuous alignment with customer needs and company strategy. In most organizations, Miro is used by product development teams looking for a new, better way to drive innovation. However, we see more teams including marketing, sales, management consulting, architecture, creative design, and HR that are increasingly applying innovation methodologies such as design thinking and agile practices and adopting Miro for this work.
Check out more about life at Miro:

• Youtube: https://www.youtube.com/@lifeatmiro
• Blog: https://miro.com/careers/life-at-miro/all/
• Instagram: https://www.instagram.com/wearemiro/

At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro's mission - Empower teams to create the next big thing - is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in , and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
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