Staff Analytics Engineer

Crisis Text Line provides free, 24/7, high-quality text-based mental health support and crisis intervention by empowering a community of trained volunteers to support people in their moments of need.

Our mission is at the intersection of empathy and innovation — we promote mental well-being for people wherever they are.

Our vision is an empathetic world where nobody feels alone.

Our core values are at the heart of all we do: connect with empathy, center equity, get it done together, and reflect and evolve.

Why you should join our team:

Our work is transforming the way people in pain access support at their fingertips
Our work is innovative in the crisis response space
Our dynamic, fun, and diverse culture
Our meaningful cause, led by empathy and innovation
Our strong values at the center of all we do
Our commitment to diversity, equity and inclusion
Our commitment to engagement and belonging
Our commitment to our employees and their holistic wellbeing
Our value of work/life balance
Our growth mindset and prioritize professional development
Our leaders who truly care

What you'll be doing:

At Crisis Text Line, the engineering, product, and design teams comprise the Build department. The vision of the group is to:

Deliver the most trusted, innovative, and easy-to-use Crisis Care Platform in the industry and drive unprecedented levels of growth for people in need worldwide.
Ensure that every user feels a sense of community on our platform, allowing us to build trust, and grow our impact.
Enable our global affiliates to power their crisis support operations in an efficient and dynamic environment
Provide a services/API-first architecture based on federated sources of data and infuses predictive insights (ML and otherwise) in every aspect of our Platform and Experience.

Crisis Text Line's mission is to promote mental well-being for people wherever they are. We aim to make crisis support available to a global audience. Our technology powers our US operations, as well as those of our international partners. To grow this impact worldwide, we need an exceptional Analytics Engineer who can guide the creation of a world-class dashboard product.

As a leader on the Analytics Engineering team, you will play a pivotal role in shaping how we use data to deliver insights. You will use your expertise in data pipelines, visualizations, and modeling to create data products that quantify the quality of our products in the effort to foster crisis support across the globe.

Crisis Text Line aspires to be an organization that reflects the globally diverse audience that our products and technology serve. We believe that hiring the best talent requires a diversity of perspectives, ideas, and cultures in order to lead to the creation of better products and services.

Crisis Text Line is and always will be a mission-driven company. We hire people with a broad set of technical skills who are ready to take on some of our biggest technology challenges and make an impact on millions of users that seek help and support in a moment of crisis.

Responsibilities:

Crisis Text Line is a fast moving, growing organization with a big vision and a critical mission. To serve our mission and vision, each role must be agile and flexible to meet the needs of the business, aligning daily work with business priorities as defined by managers and team leaders.

Build & Mature Our Ability to Deliver Data Analytics and Products

Define and build performant, scalable data models in the data warehouse
Collaborate with stakeholders to understand their data needs and deliver the right solution, from one time reporting to regularly updated dashboards
Work with Design, Product, and Engineering to use data to tell the story of how CTL is scaling access to mental health support across the globe
Partner with Platform and Data Engineering teams to create scalable integrations for bringing data into the data lake
Effectively communicate to audiences including Engineers, Product, Senior Leadership, and external customers using written and verbal communication, and visualizations when appropriate
Partner with Product and business stakeholders to codify and standardize data requirements in the form of SLOs/SLAs
Advocate for and drive adoption of industry best practices, tooling, and processes

Qualifications:

4+ years of querying and modeling data using SQL
2+ years using python for data analysis/data science (matplotlib, numpy, pandas)
2+ years building data models for use in dashboarding tools (Looker, Sisense, PowerBI, Tableau, or similar). Bonus points if these were used by external customers.
Familiar with distributed computing systems such as Spark (Scala, Pyspark)
Ability to influence strategy and align stakeholders to evolve data use based on research, data, and industry trends
Fluent with git (preferred) or other version control systems and practices
Experience with pipeline orchestration tools such as Databricks Workflows or Airflow
Experience with dimensional modeling and creating data marts for a variety of stakeholders
Experience with monitoring, logging, and other observability practices for maintaining data pipelines in production
Familiarity with CI/CD systems

Preferred Qualifications:

2+ years managing Data Engineering, Data Analytics, or Data Science teams
Knowledge of NLP techniques and commonly used AI/ML models

The full salary range for this position, across all United States geographies, is $126,000 - $165,000 per year

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