Lead Associate, Business Operations & Shared Services Data Analyst; P2

Lead Associate, Business Operations & Shared Services Data Analyst (P2)

For over 100 years, Save the Children has been fighting for the rights of children. The right to a healthy start in life. To have access to education. To be in a safe environment, protected from harm. We work in some of the world's hardest-to-reach places – over 100 countries, including the U.S. No matter what your role is, when you join Save the Children, you're creating positive, irreversible change for children, and the future we all share.

The Role

As the Lead Associate, Data Analyst, you'll be integral to our work in helping vulnerable children achieve a brighter future. You will help to develop and advise on Business Operations and Shared Services (BOSS) dashboards and reports, automate processes, and establish data controls. The position emphasizes the significance of clean information and ensures that underlying data supports reporting needs, is understood, and is used consistently.

This position will also support various projects for the BOSS technology portfolio.

Location

Hybrid – Washington DC, Fairfield, CT or Lexington, KY office locations

What You'll Be Doing (Essential Duties)

Build Dashboards, Reports, and Automate Processes (50%)

• Maintain and enhance existing dashboards by collaborating with business partners to understand reporting needs, prioritize requests, and implement data-driven improvements.
• Develop and maintain a data dictionary that clearly documents and defines key metrics, data sources, and calculation methodologies to promote consistency and transparency.
• Partner with the Data Infrastructure team to define reporting requirements and data models to shape self-service analytics.
• Review and analyze existing reports to ensure alignment in metric definitions, improve data accuracy, and identify opportunities to consolidate or retire redundant reports.
• Conduct audits of existing reports and distribution lists to verify appropriate access, ensure compliance with data privacy and confidentiality requirements, and support responsible data governance.
• Maintain existing automations and develop additional process automation required for automated reporting and dashboard updates.

Data Analysis (25%)

• Analyze data to identify trends, patterns, and insights, and translate findings into clear, actionable recommendations to support workforce and business decisions.
• Respond to ad hoc data requests by preparing clear summaries and visualizations that accurately describe the requested data, highlight key takeaways, and support informed decision ‑
• Support data literacy efforts by helping business partners and other employees understand how to interpret, use, and apply data appropriately in compliance with established definitions, privacy standards, and reporting guidelines.

Data Stewardship (25%)

• Support data stewardship practices by helping to document data ownership, data definitions, and usage standards to promote data quality, consistency, and accountability.
• Assist in monitoring data quality and integrity by identifying data issues, escalating discrepancies, and partnering with system owners to support remediation efforts.
• Partner with the Data Governance team to define and enforce BOSS data standards.

Required qualifications for the role

• Minimum of a High School Diploma or equivalent, plus at least 3 years of relevant experience
• Foundational experience working with data reporting and visualization through internships, academic projects, or entry‑level professional roles.
• Basic understanding of data concepts such as data governance, data quality, metrics, and reporting standards.
• Strong attention to detail and demonstrated ability to handle sensitive and confidential information appropriately.
• Effective written and verbal communication skills, with the ability to document processes and explain data clearly to non‑technical audiences.
• Ability to manage multiple tasks, meet deadlines, and collaborate with cross‑functional teams in a fast‑paced environment.
• Professional proficiency in MS Office suite, including Microsoft Excel (e.g., formulas, pivot tables, basic data validation) and comfort working with structured datasets
• Professional…