Senior Analytics Engineer, Data Operations

About Understood

Understood is a social impact nonprofit like no other. Our cause is to support the 70 million people in the United States who have learning and thinking differences like ADHD and dyslexia. And we’re passionate about our work. By taking an innovative digital-first approach, we create tools, content, and experiences that help people discover their potential, take control, find community, and stay on a positive path.

Come be part of an organization with an entrepreneurial spirit that’s helping to make an impact in shaping the world for difference.

About the role

To advance Understood’s mission and further our impact, we are hiring a Senior Analytics Engineer who will be a member of the Data Operations team and will report to the Lead, Data Operations. The Data Operations team bridges the gap between data creation and data analysis by evaluating stakeholders’ user stories, building data product requirements, designing data architecture, transforming data, and crafting data products.

In this role, you will be responsible for developing new data products, maintaining existing data products, and supporting the data pipeline that feeds them.

In addition to the knowledge, abilities, and experience you bring, we deeply believe that a shared commitment to our core values is critical to making an impact. They include continuously learning, acting with intention, championing difference, inspiring change and growing together.

These values guide us in our work. And they help us make an impact in shaping the world for difference so people who learn and think differently can thrive.

Responsibilities

Collaborate with data engineering, analysts, product, and other stakeholders to organize and define data requirements and setting up the architecture to deliver on them
Build production-quality code and maintain dbt data models to prepare data and metrics for end user analysis
Conduct data quality testing on ad-hoc requests for web and mobile data events
Triage and perform root cause analysis on automated data quality alerts generated by Monte Carlo
Apply software engineering best practices (e.g., code review, testing, version control, documentation) when developing data models to ensure data quality and standardization across pipelines and BI tools
Build and maintain Looker dashboards, including translating end user feedback into dashboard updates

Qualifications

Bachelor’s degree in math, statistics, economics, computer science, or engineering preferred
Demonstrated experience with data architecture development
Experience in data visualization development
Highly proficient in SQL
Intermediate skill level in Looker and dbt
Experience with Snowflake, Monte Carlo, Snowplow, and Python a plus

Knowledge, Skills, and Abilities

3-5 years of experience in data roles, with experience working in the Modern Data Stack
Strong problem solving and systems thinking skills
Comfort with translating abstract problems into discrete technology action items
Ability to diagram complex technical processes, preferably with UML
Ability to give constructive feedback to team members as a part of code reviews
Comfort with explaining complex data concepts to non-technology end users in a way that is actionable
Committed to embodying and being a steward of our commitment to diversity, equity, inclusion, and belonging

The base salary range for this role is minimum $110,000.00 - $140,000.00 maximum, depending on years of experience and qualifications. We offer a comprehensive benefits package that supports our team member's and our family's wellness.

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