We are seeking an analytical, engineer-minded individual who can turn raw social and consumer data into clear, decision-ready insight. This person should be able to produce Voice of Consumer (VOC) reports in their sleep – but more than that, they should be a thought partner who proactively surfaces storylines the business hasn’t asked for yet, not just a report generator. They are equally comfortable writing a query from scratch as they are presenting findings to leadership in a narrative that lands.
Responsibilities:
- Build and maintain recurring Voice of Consumer (VOC) reporting, synthesizing feedback and sentiment from social platforms, reviews, surveys, and other consumer touchpoints into clear, actionable insight
- Write and optimize queries (SQL and equivalent) to extract, join, and structure data from social listening platforms, data warehouses, and other internal/external sources
- Design and maintain dashboards and self-serve reporting tools that give stakeholders ongoing visibility into social and consumer sentiment trends
- Apply statistical and analytical methods to identify patterns, anomalies, and emerging trends in social and consumer data, distinguishing signal from noise
- Translate complex, multi-source data into clear narratives and visual storytelling that drive decisions for content, brand, and leadership teams – not just charts and raw metrics
Requirements
- Proven experience in social media analytics, consumer insights, marketing analytics, or a related data science/analyst role
- Strong SQL skills (or equivalent query languages) with the ability to independently build and troubleshoot queries against large, complex datasets
- Analytical, engineer-minded approach to problem-solving, with comfort working directly with raw and semi-structured data
- Demonstrated experience building Voice of Consumer (VOC) reports and programs, including sourcing, synthesizing, and reporting on qualitative and quantitative feedback
- Exceptional data storytelling skills – able to translate complex data into clear, compelling narratives for both technical and non-technical audiences
- Proficiency with data visualization tools (Tableau, Power BI, Looker, or equivalent)
- Experience with social listening and analytics platforms, with preferred expertise using Sprinklr
- Working knowledge of statistical analysis methods and sentiment/text analytics
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