Manager, Analytics

Job Locations US-NY-New York
Posted Date 1 month ago(3/3/2025 5:06 PM)
Job ID
2025-2115
# of Openings
1
Category
Management

About Us

Girl Scouts of the USA

Founded in 1912, Girl Scouts of the USA (GSUSA) is the preeminent leadership development organization for girls and the leading authority on their healthy development. Millions of Girl Scout alums across the country and the world have gone on to achieve incredible things and make a tremendous impact in fields ranging from public policy, medicine, journalism, and athletics to international relations, science, technology, art, and entertainment. 

As a mission-driven organization, Girl Scouts of the USA champions girls as they explore their worlds, try new things, and develop the courage, confidence, and character to make the world a better place. From stargazing during a first overnight camping trip to building robots, navigating a rocky hiking trail, working together on a community project, and learning about the importance of environmental stewardship, Girl Scouts of all backgrounds and abilities can unapologetically be themselves as they rise to meet new challenges and discover the issues that matter most to them. Along the way they learn the power of friendship, connection, and teamwork. 

Girl Scouts are doers, innovators, problem-solvers, creators, and dreamers, and the GSUSA team is here to center, support, and inspire them, working with 111 local councils across the country and USA Girl Scouts Overseas to deliver our life-changing Girl Scout Leadership Experience.

This is a 2 days in office and hybrid position located in New York City.

You Will

COMMUNITY DESCRIPTION

The Analytics & Insights team is part of the larger Strategy and Planning Community and is charged with producing data-driven insights to improve and inform decision making, strategic development, and identify areas of opportunity across the organization and movement.  The team serves all Girl Scouts of the USA (GSUSA) departments and leverages internal and 3rd party data, resources, and research to inform these insights and will commission and execute new research or find new data sources to fill any gaps. This team is responsible for Enterprise Data Management, required to enable data-driven decisions. This includes data management, privacy, governance, reporting and analytics. The team is also responsible for producing on-going and ad-hoc analyses and dashboards to ensure movement stakeholders have the information necessary to make informed decisions. They help inform the creation of and track KPIs and metrics to measure performance of strategies and initiatives.

 

POSITION SUMMARY

Working as an integral part of Analytics and Insights, the Manager, Analytics will play a key role in transforming data into actionable insights that drive strategic initiatives and operational improvements. This position is responsible for definition of business requirements, designing and developing business intelligence solutions, analyzing complex data sets, and delivering clear, concise data products that support decision-making across various departments. The ideal candidate is analytical, detail-oriented, and passionate about using data to drive meaningful impact, with expertise in supply chain and retail analytics. A key partner to GSUSA communities, the Manager, Analytics translates business needs into actionable data products that enhance inventory management, sales performance, and operational efficiency. This role plays a critical part in supporting the Girl Scout Cookies and Girl Scout Merchandise, ensuring data-driven decision-making across demand forecasting, distribution logistics, and retail strategy to optimize availability and maximize success. They are a critical thinker with points of view to help guide data-driven decisions on the Girl Scout Movement strategy, integrating relevant information from multiple sources including our cloud-based data warehouse and business intelligence systems and flat file data from disparate sources to generate important business insights. Specific contribution for this position includes:

 

  • Gather requirements, designs, develop analyses and/or reports to for stakeholders at both national (membership, revenue, marketing, program, strategy, development, DEIRJ) and local council levels with a focus on Girl Scout Merchandise, cookie, licensing and other revenue sources.
  • Provide insights into girl sellers, geographical and other trends to ensure equity of the cookie program.
  • Manage high-level project teams and external vendors, as necessary.
  • May involve supervision of contractor(s), or consultant(s), including the day-to-day management of time, projects, and responsibilities.
  • Conduct basic and advanced quantitative statistical analysis.
  • Work with team to design templates for communicating complex data to lay audiences.
  • Collaborate with colleagues at the national and council levels to integrate analyses into strategy development and program improvement.
  • Play key role in shaping internal and external strategies for promoting utilization of Girl Scout reporting and analytical tools.
  • Make recommendations based on data, analytics, and insights to councils and constituencies within GSUSA.
  • Present findings internally and may represent the work of GSUSA at council events, as well as external conferences.
  • Attend required local and national meetings as needed.
  • Provides analytics related support as needed to council partners, GSUSA, and the Analytics and Insights team in general.

 

ESSENTIAL RESPONSIBILITIES - Primary duties of the position

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

 

 

Business Intelligence Development & Reporting:

  • Design, develop, and maintain BI solutions, including dashboards, reports, and data visualizations, using tools such as Excel, Looker, PowerBI, or similar.
  • Collaborate with stakeholders to understand business requirements and translate them into technical specifications for business intelligence solutions.
  • Ensure the accuracy and reliability of reports by validating data sources and implementing quality control measures.

 

Data Analysis & Interpretation:

  • Analyze large, complex data sets to identify trends, patterns, and insights that inform business decisions.
  • Conduct data mining, statistical analysis, and predictive modeling to support strategic initiatives.
  • Interpret and communicate analytical findings to both technical and non-technical audiences, providing actionable insights.
  • Ensure data products are delivered on time, within scope, and meet the organization’s quality standards.

 

Data Management & Integration:

  • Work with data engineering and IT teams to integrate and manage data from various sources, ensuring data is accurate, consistent, and accessible.
  • Assist in the development and maintenance of data warehousing and data integration processes to support business intelligence initiatives.

 

Stakeholder Collaboration & Support:

  • Partner with cross-functional teams to provide data-driven insights and support decision-making processes.
  • Partner with cross-functional teams in merchandising, cookie logistics, procurement, and finance to drive data-informed decision-making.
  • Identify opportunities for cost reduction, process improvement, and revenue optimization in supply chain and retail operations.
  • Gather and analyze user feedback to continuously improve the usability and effectiveness of data products.

 

Continuous Improvement:

  • Stay current with industry trends and best practices in BI and data analytics and apply this knowledge to improve the organization’s business intelligence capabilities.
  • Proactively identify opportunities to enhance existing business intelligence solutions and processes.

 

 

 

 

Other Duties: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job.

 

REQUIRED COMPETENCIES

  • Strong storytelling with data skills.
  • Strong analytical and problem-solving skills, with keen attention to detail.
  • Proficiency in SQL, Python, R, or other analytics tools for data extraction and analysis.
  • Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Proficiency in data visualization best practices and the ability to create intuitive, user-friendly data products.
  • Experience with supply and demand planning, including working with third-party logistics providers.
  • Experience with statistical analysis, data modeling, and predictive analytics is a plus.
  • Familiarity with nonprofit organizations and an understanding of the unique challenges and opportunities in the sector is preferred.

 

REQUIRED TECHNICAL SKILLS 

Office 365 or similar suites

Competency in PowerPoint or similar presentation software

Expert in Microsoft Excel

BI Tools (Looker, PowerBI, etc.)

SQL, Python, R, or other analytics tools

Knowledge of SPSS and/or Qualtrics a plus

Artificial Intelligence experience a plus

Data Product Lifecycle management a plus

Data Warehouse knowledge/experience, (Snowflake)

 

REQUIRED EDUCATION AND EXPERIENCE (i.e., degrees, certifications)

Degree or Equivalent Experience:

Bachelor’s degree or equivalent experience

Minimum Years of Experience:   Minimum of five (5)  years’ experience in corporate environment

 

 

PHYSICAL DEMANDS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

 

WORK ENVIRONMENT: This job can be remote, hybrid or local to New York City. Local and hybrid employees work in a professional office environment.

 

POSITION TYPE / EXPECTED HOURS OF WORK: This is a full-time position. Days and hours of work are Monday through Friday. Occasional evening and weekend work may be required as job duties demand.

 

Yearly and occasional travel to a local council.

 

 

AAP/EEO Statement: GSUSA is an equal employment opportunity employer.

 

 

 

 

 

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