Responsibilities

• Analyze performance data across communications, outreach, stakeholder engagement, digital platforms, and program activities.
• Perform data analytics on quantitative and qualitative datasets, to include visualizing key findings in charts or graphics.
• Define, track, and evaluate key performance indicators, audience segments, and operational metrics that support organizational objectives.
• Support the development and maintenance of dashboards, reports, visualizations, and performance summaries that are aligned with reporting requirements.
• Conduct trend analysis, variance identification, forecasting, and performance assessments to support strategic planning and continuous improvement efforts.
• Analyze digital channel performance, including web, email, social media, audience engagement, and campaign metrics.
• Analyze social media performance across owned and paid channels, evaluating audience growth, engagement, sentiment, content performance, platform trends, and campaign effectiveness to generate actionable insights and optimization recommendations.
• Perform open source and secondary research to generate audience insights, inform research strategies, and identify gaps.
• Support the development and refinement of KPI frameworks, taxonomies, reporting methodologies, and data models.
• Maintain data quality standards, metadata integrity, documentation, and reporting consistency across analytics activities.

Requirements

• Experience working in primary research, data analytics, web performance measurement, marketing analytics, or related analytical disciplines.
• Strong analytical and quantitative reasoning abilities.
• Familiarity with dashboards, reports, visualizations, and performance summaries.
• Experience utilizing AI-assisted research, media monitoring, social listening, and audience intelligence tools to support analysis and strategic recommendations.
• An understanding of KPI development, audience segmentation, measurement frameworks, and performance reporting.
• Curiosity in technology landscape and how AI is changing communications.
• Working knowledge or familiarity with analytics and business intelligence platforms such as Power BI, Tableau, Google Analytics, or similar tools.
• Experience working with structured datasets, reporting systems, and data visualization methodologies.
• Familiarity with SPSS, SQL, Python, R, or other analytical tools is preferred.
• Ability to communicate technical findings clearly and translate data into compelling narratives and recommendations.

Benefits

• 12 weeks’ of full pay for primary caregivers and 6 weeks for secondary caregivers.
• Choice of three medical plans (HSA at $0 cost; EPO 75% employer funded; PPO 65% employer funded)
• 70% employer-funded dental and vision coverage
• Generous paid time off, sick leave, and company holidays, including an office closure between Christmas & New Year's
• 401(k) with 5% employer match
• Gym membership reimbursement and/or Wellhub subscription
• Mental health support through EAP and Self Space services
• Work from anywhere for up to 2 weeks per year (subject to approval)
• Social events, happy hours, professional development trainings, etc.