Vocal
Media
ResearchAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Analyst at Vocal. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and deploy machine learning models. Build and maintain data pipelines”
Industry & Context.
Analytical problem solving; Root cause analysis
What They're Looking For.
Must Have
5+ years of experience, Bachelor's degree, SQL proficiency
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certifications
What You'll Do.
Develop and deploy machine learning models
Build and maintain data pipelines
Design and implement data warehousing solutions
Create and manage BI dashboards
Perform statistical analysis
Collaborate with stakeholders
Ensure data quality and integrity
Optimize data infrastructure
Stay updated on new technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams; Business stakeholders
Communication Scope
Technical presentations; Data storytelling
Full Job Description
## Description Vocal is seeking a researcher who is equal parts analyst and interpreter — someone who can build the queries, run the analysis, and then tell the story behind the numbers. You'll work across social media platforms to surface insights that shape how our clients communicate. ## Responsibilities Build and refine keyword-based search queries to scrape large volumes of social media posts, captions, comments, and transcripts relevant to specific issue areas Work closely with our data team to provide clear instructions on the type of analysis that works best for a given client or problem: sentiment scoring, topic modeling, analyzing engagement metrics, etc. Use AI tools to tag, classify, and code content at scale, categorizing posts by theme, tone, stance, or other relevant dimensions that would be impractical to label manually Translate findings into visualizations and written deliverables that make data-driven insights accessible to non-technical audiences Blend quantitative outputs with qualitative interpretation to develop findings that are both rigorous and narratively compelling Synthesize qualitative findings into clear, compelling deliverables such as memos, briefs, and presentations that translate online discourse into actionable insights for non-technical audiences ## Qualifications 1-2 years of professional experience working with large text-based datasets, including social media posts, comments, captions, or transcripts, for exploratory analysis Experience with quantitative text analysis methods such as sentiment analysis, frequency analysis, or topic modeling Strong SQL skills, including the ability to write queries to filter, join, and transform datasets for analysis Clear communication skills, with the ability to translate quantitative findings into written narratives accessible to non-technical audiences Deep familiarity with social media platforms and online communities, you spend time in these spaces and understand how content spreads, how
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