Marketing Analyst / Social Analyst

IntelliPro Group Inc.•Seattle, WA

1d•$48 - $48•Remote

About The Position

Seeking a detail-oriented, analytically rigorous & AI- native Social Analyst to build and own the dashboard & reporting engine that powers our paid social decision-making. This is a hands-on data and reporting role with significant strategic impact — you will design and maintain the infrastructure that translates raw campaign data into clear, actionable insights across our paid social programs. This role requires a strong analytical operator who can build scalable reporting systems and self-serve dashboards that empower the team to move faster, design and maintain rigorous measurement frameworks across attribution, incrementality, and experimentation, ensure data accuracy, governance, and consistency across all reporting surfaces, identify gaps in measurement infrastructure and proactively recommend solutions, and enable faster, better-informed decisions through improved data access and collaboration.

Requirements

5+ years of experience in digital marketing analytics, paid social measurement, or a closely related data/reporting role.
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 workstreams independently in a fast-paced environment.
Collaborative mindset and comfort working cross-functionally with marketing technology, data science, and platform partner teams.

Nice To Haves

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

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.
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.
Pull and consolidate data across paid social platforms, site analytics, and brand studies into unified performance views.
Surface clear, business-relevant insights that help LOB stakeholders make informed investment and optimization decisions.
Serve as the primary measurement and analytics partner for the social team, translating data needs into actionable infrastructure.
Partner closely with marketing technology, data science, and platform partners (including Sprinklr) to build robust, scalable solutions.
Collaborate with paid social channel managers to understand reporting needs and close gaps in visibility.
Proactively identify gaps and blind spots in the current measurement ecosystem and develop recommendations for new tools, integrations, or methodologies.
Continuously evaluate and improve reporting automation to reduce manual effort and increase the speed of insight delivery.
Document measurement approaches and maintain a knowledge base that supports onboarding and institutional continuity.