Responsibilities

• Own and evolve the full paid social reporting ecosystem, including dashboards, templates, and automated reporting workflows.
• Build scalable, self-serve dashboards in Sprinklr and complementary tools that give stakeholders real-time access to performance data.
• Develop and maintain standardized reporting cadences: weekly performance reports, campaign wrap-ups, and quarterly business reviews (QBRs).
• Manage data integrations across paid social platforms, site analytics tools, and brand study vendors to ensure a unified, reliable data environment.
• Establish and enforce data governance standards — naming conventions, taxonomy, QA processes — to maintain accuracy and consistency across all reporting.
• Partner with marketing technology and data engineering teams to troubleshoot data discrepancies and improve pipeline reliability.
• Design, implement, and maintain comprehensive measurement frameworks, including:
• Build and maintain Sprinklr dashboards to track social performance across lines of business
• Develop LOB-specific reporting views that meet stakeholder expectations and surface actionable insights
• Maintain dashboard integrity through consistent tagging, taxonomy, and data hygiene standards

Requirements

• 5+ years of experience in digital marketing analytics, paid social measurement, or a closely related data/reporting role.
• Required: Hands-on experience building and managing campaigns, reports, and dashboards within Sprinklr, including campaign setup, governance, and performance reporting.
• Deep understanding of paid social measurement methodologies
• Strong proficiency in platform ad managers (Meta, TikTok, YouTube, LinkedIn, etc.) and the ability to synthesize data across multiple platforms.
• Experience building and maintaining automated dashboards and reporting pipelines; proficiency with data visualization tools.
• Advanced analytical skills with the ability to work with large, complex datasets and surface clear, actionable insights.
• Strong communicator — able to present data findings to cross-functional stakeholders in a clear, business-relevant way.
• Highly organized and self-directed, with the ability to manage multiple work streams independently in a fast-paced environment.
• Collaborative mind-set and comfort working cross-functionally with marketing technology, data science, and platform partner teams.

Preferred

• Attribution models across full-funnel paid social activity
• Conversion tracking and pixel governance
• Incrementality testing and lift study design
• A/B testing structures and experimentation protocols