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This position will act as the primary statistician for the Data & Analytics Department, as well as leading and advising on a variety of additional analytics projects. The Senior Strategist II is responsible for testing, research, implementation and management of advanced database systems, tools, targeting, testing and research to support organizing, digital and political action campaigns; establishment of training modules for IU staff, affiliate leaders/staff and members in how to utilize these resources; creation of systems for the oversight of projects assigned to the Data & Analytics Department. Expected to interact directly with international and affiliate staff and leadership, members, and partner organizations.
Job Responsibility:
Act as the primary statistician for the Data & Analytics Department
Lead and advise on a variety of additional analytics projects
Responsible for testing, research, implementation and management of advanced database systems, tools, targeting, testing and research to support organizing, digital and political action campaigns
Establishment of training modules for IU staff, affiliate leaders/staff and members in how to utilize these resources
Creation of systems for the oversight of projects assigned to the Data & Analytics Department
Expected to interact directly with international and affiliate staff and leadership, members, and partner organizations
Utilize advanced data management tools and techniques to conduct voter targeting and analysis for digital, organizing, issue and electoral campaigns
Work with IU departments and affiliates to drive adoption of tools and processes across the union
May coordinate and assign work for members of the Data & Analytics Department as appropriate
May coordinate large-scale voter, general public and member contact programs utilizing in-house and vendor-provided tools
May establish and optimize tools and processes to maximize internal coordination of data resources
Administer, support, and train users on data management systems (Catalist, VAN, Action Network, AFSCME Data Warehouse, etc.)
Assists with developing data and targeting resources, analytic tools and other data driven assets to advance the goals and priorities of the IU
Act as primary point of contact for questions related to AFSCME’s Data Warehouse and the core datasets within
Primary lead to build, test, maintain, and deploy ETL pipelines related to voter, membership, and volunteer data ingestion and manipulation
Apply database architecture best practices to existing warehouse data storage
Coordinate with external vendors on data release schedules and troubleshooting
Build and maintain dashboards to monitor and analyze the data warehouse
Develop best practices and training materials related to the data warehouse and its core data sets
Administer user accounts and permissions for the data warehouse and related systems
Work with internal and external staff to establish best practices and standards for data collection, validation, preservation, and aggregation
Provide data and technological guidance on issue and electoral campaigns
Create new data validation methods and data analysis tools
Produce ad-hoc queries, reports, and projects as needed for interdepartmental or affiliate use
Construct database tables for reporting and auditing purposes, including EveryAction contribution data
Build, maintain, and enhance statistical models for voter, membership, and volunteer groups or other assessments
Other tasks as assigned
Requirements:
Graduation from an accredited four-year college or university with course work in data science, IT management, or a related field
Minimum of five (5) years of related work experience
Commitment to the union and its mission
Thorough understanding of Structured Query Language (SQL) and constructing queries
Familiarity with online electoral tools and datasets such as Catalist, VAN, Action Builder, and digital CRM tools such as Action Network
Extensive experience building creative reports using data visualization tools such as PowerBI
Proven experience in building and validating statistical models
Ability to handle multiple projects simultaneously and meet tight deadlines
Strong interpersonal and communication skills including the ability to communicate technical subjects to non–technical individuals
Able to learn new material and skills quickly and engage on a variety of projects
Previous work experience in the labor or progressive movements
Thorough experience with Python, R or similar OOP programming languages such as Java or Scala
A valid driver’s license
Nice to have:
Prior experience in constructing ETL pipelines and knowledge in AWS is a plus
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