Analytics Engineer

aclu; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

The ACLU is seeking an Analytics Engineer to join the Analytics division of the Technology Department in New York, NY. The role focuses on transforming data into analysis-ready forms, building Python ETL pipelines, and migrating CRM data as the organization moves to a new CRM system.

This is a hybrid role with in-office requirements two days per week. You will work with data scientists, data engineers, analysts, and business users on data models, dbt, and data quality to support fundraising,

Qualifications

• Extensive experience with data warehouses and SQL (e.g., Redshift)
• Experience building data models and ETL in a business setting
• Undergraduate degree in an analytical field or equivalent experience
• Proficient in Python
• Experience with BI tools like Hex, Tableau, Looker
• Familiar with CRM/volunteer systems such as Salesforce, Blackbaud, or VAN

Responsibilities

• Design, develop, and maintain scalable data models using dbt for reporting and analytics
• Collaborate on CRM migrations and rebuild dbt models for essential reporting
• Build Python ETL pipelines with Dagster to move data into warehouses or data lakes
• Scrape data from public sources to support advocacy projects
• Ensure high-quality, timely data is available for stakeholders
• Use data warehousing and SQL best practices to ensure reliable analytics
• Partner with internal teams to define and document data practices
• Provide data support for fast-developing campaigns with Analytics teams

Skills

SQL

Redshift

dbt

Python

Data modeling

ETL pipelines

Tableau

Looker

Hex

CRM systems

Education

Bachelor's degree in Economics, Statistics, Computer Science, or related field

Tools

Dagster

Airflow

Prefect

Salesforce

Blackbaud

Job description

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Analytics Engineer in the Analytics division of the Technology Department of the ACLU's National office in New York, NY, Washington, DC, or San Francisco, CA. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month.

The ACLU Technology Department is a broad umbrella covering both the ACLU's Analytics and its Product & Engineering teams, two robust and innovative divisions that power the work of the ACLU. The department provides trusted, dependable, and impactful analytics, engineering, as well as product design and management expertise for the ACLU. In partnership with experts across the ACLU, the technology team delivers best-in-class solutions, services, and innovation that advance the ACLU mission and organizational priorities. The tech team strives to ensure the ACLU leads by example in the ethical use of technology by ensuring privacy and security standards are maintained, directional insights are used to inform programming and business strategy, best-in-class products are designed to get the ACLU message out into the world and grow the ACLU supporter base, as well as to help steward high standards for algorithmic fairness, accountability, and transparency.

The Analytics division includes analysts, data scientists, survey experts, social scientists, and analytics engineers that support evidence-based decision making and bring quantitative insights on our issues to the courtroom and the public.

This position is part of a collective bargaining unit. It is represented by ACLU Staff United (ASU).

WHAT YOU'LL DO

Reporting to the Director of Analytics Engineering , the Analytics Engineer will be part of a team focused on reliably transforming data in the ACLU's internal systems into analysis-ready forms, scraping data from public sources, and working to improve our overall data and analysis pipeline. In partnership with other analytics engineers and analysts, you will use your strong technical, modeling, and analytical knowledge to assist with the data model rebuild as the ACLU migrates to a new CRM.

The analytics engineer will work alongside data scientists, data engineers, data analysts, and business users, to enable the use of innovative data-driven methods and advanced analytics to transform the way the ACLU approaches fundraising, digital communications, and supporter engagement, as well as program work in litigation and advocacy.

YOUR DAY TO DAY

You will be part of the Analytics Engineering team and work with team members across Analytics as well as stakeholders across the ACLU. You will work primarily with membership/donation data, voter files, web, and other data. Below is a sampling of projects you can expect to dive into:

• Design, develop, and maintain scalable data models to support reporting, business intelligence, and analytics needs using dbt.
• Collaborate with third-party vendors and our Analytics Engagement team as we prepare to migrate CRMs and re-build dbt models used for business essential reporting
• Build and orchestrate Python ETL (Extract, Transform, Load) pipelines in Dagster, to ensure the efficient flow of data from various sources into data warehouses or data lakes.
• Scrape data from public websites to support legal, organizing, and advocacy projects.
• Ensure high-quality, accurate, and timely data is available for stakeholders across departments.
• Use and help others use data warehousing and SQL best practices to keep our analytics swift and reliable
• Partner with internal departments to define and document consistent business data practices
• Collaborate with our Legal and Advocacy Analytics teams to provide data support for fast developing legal crises & issue-based campaigns

FUTURE ACLU'ERS WILL

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• Extensive experience with data warehouses and database query languages (e.g., Redshift, SQL)
• Experience building data models and writing ETL in a business setting
• Undergraduate degree in an analytical field (e.g., Economics, Statistics, Computer Science, Business) or equivalent experience
• Skilled in using a modern scripting language (e.g. Python)
• Proficiency in translating business metrics into well-scoped tasks and requirements
• Working knowledge of BI tools such as Hex, Tableau, or Looker
• Familiarity with customer relationship management (CRM) or volunteer management systems, such as Salesforce, Blackbaud, or VAN.

PREFERRED QUALIFICATIONS

• Demonstrated experience with a modern data stack, especially dbt for SQL data modeling
• Experience with an orchestration tool (e.g. Dagster, Airflow, Prefect)
• Knowledg