Analytics Engineer, Miro

$142.4-213.6k

Included in the total package is an equity component, this may also include variable compensation

SQL

Python

Looker

Java

Snowflake

Mid and Senior level

New York

2-5 days a week in office

Visual workspace for innovation

Job no longer available

Visual workspace for innovation

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSVideo

Job no longer available

$142.4-213.6k

Included in the total package is an equity component, this may also include variable compensation

SQL

Python

Looker

Java

Snowflake

Mid and Senior level

New York

2-5 days a week in office

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSVideo

Company mission

To empower teams to create the next big thing, powered by AI at every step of the way.

Job

Company

Role

Who you are

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 the job involves

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
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

Our take

Millions of employees worldwide have moved to remote working, but existing tools are holding back the potential for collaboration. Tools such as Zoom and Microsoft Teams already provide remote communication platforms to millions of users, but they generally compromise on features required to emulate the team collaboration experience.

Miro has created a platform that provides enterprise tools such as collaborative whiteboards and mind-map software into an accessible and integrated service. As opposed to providing an 'all-in-one' add on, Miro allows businesses to customize and integrate the tools and resources within their individual platform to cater to the team's specific requirements.

Miro’s initial strategy of offering free and discounted subscriptions and then moving to paid models has paid off. The platform currently has over 100M users and is trusted by enterprises such as VMware, Zendesk and Frog. And as part of its ongoing battle with Zoom, Miro acquired video-chat startup Around in 2022, to remain competitive in the market.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

15% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 4 rounds)

Jan 2022

$400m

SERIES C

Apr 2020

$50m

SERIES B

Total funding: $476.8m

Company HQ

The East Cut, San Francisco, CA

Leadership

Andrey Khusid

(Co-Founder & CEO)

Prior to Miro, they founded Vitamin Group specializing in digital technologies and multimedia projects.

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