Data Operations Associate; Opinion Research

Data Operations Associate, Opinion Research

Remote, United States (Bay Area, NYC, Washington DC, Seattle, or Portland metro areas)

Panterra Research is growing, and we are bringing data processing in-house to improve speed, quality, and control. We are looking for a detail‑oriented and technically skilled Data Analyst to join our global research team. This person will own the end‑to‑end processing of survey data across a wide portfolio of quantitative research projects – from public opinion polling and brand tracking to political campaigns and corporate perception studies across more than 150 countries.

The ideal candidate is proficient in Displayr and has a strong grounding in survey data methodologies. They will be the engine behind our crosstab production, data weighting, quality assurance, and statistical analysis, and will play a critical role in helping us improve and accelerate how we turn raw survey data into client‑ready insights.

Due to role requirements, candidates must reside in any of the following states:
San Francisco Bay Area, CA;
New York, NY or New Jersey (within commuting distance of New York City);
Washington, DC or Virginia (within commuting distance of Washington, DC);
Portland, OR.

• Receive, ingest, and process raw survey data from vendors in a variety of formats (SPSS .sav, Excel, CSV, and others).
• Conduct thorough logic checking and data cleaning: verifying skip logic compliance, identifying missing or erroneous responses, flagging and resolving inconsistencies.
• Identify and elevate anomalies, outliers, and quality issues in survey datasets before analysis begins.
• Recode, rebase, and transform variables as required, including creating derived variables such as Top‑2‑Box scores, Net Promoter Score (NPS), and net agreement measures.
• Code and categorize open‑ended verbatim responses into manageable themes, leveraging AI‑assisted text analysis tools where appropriate.

• Build and maintain crosstab specifications in Displayr, producing efficient and accurate cross‑tabulations across demographic, geographic, and attitudinal subgroups.
• Develop templated, reusable Displayr setups to accelerate crosstab generation across recurring and tracking studies.
• Generate toplines, frequency distributions, and banner tables to research specifications.
• Ensure statistical significance testing (confidence levels, margin of error, p‑values, chi‑square) is applied correctly and clearly communicated in outputs.

• Apply and validate survey weights to ensure data is representative of target populations.
• Work with senior researchers to understand weighting schemes (e.g., rim/raking weighting) and implement them accurately across domestic and international datasets.
• Document weighting decisions and methodology for each project.

• Conduct descriptive and inferential statistical analysis including regression, segmentation, driver/key driver analysis, and cluster analysis.

• Identify opportunities to streamline and automate data processing workflows within Displayr and adjacent tools (e.g., R, Python scripts).
• Help develop internal standards, templates, and documentation for data processing best practices across the research team.
• Contribute to reducing reliance on external data processing vendors by building capacity in‑house.
• Stay current with Displayr platform updates, new features, and AI‑powered automation capabilities that could benefit team productivity.

• Work closely with Research Consultants, Senior Consultants, and Account Directors to understand project specifications and deliver data to agreed timelines.
• Prepare clean,…