Account Director, Data Operations (Opinion Research)

Panterra•San Francisco, CA

1d•Remote

About The Position

Panterra Research is seeking a detail-oriented and technically skilled Data Analyst to join their global research team. This role will be responsible for the end-to-end processing of survey data for a wide range of quantitative research projects, including public opinion polling, brand tracking, political campaigns, and corporate perception studies across over 150 countries. The position requires proficiency in Displayr and a strong understanding of survey data methodologies. The Data Analyst will be crucial in producing crosstabs, performing data weighting, conducting quality assurance, and executing statistical analysis, ultimately accelerating the transformation of raw survey data into client-ready insights. The role is remote, and candidates must reside in specific metro areas within California, New York/New Jersey, Washington D.C./Virginia, or Oregon.

Requirements

Proficiency in Displayr, including crosstab building, variable creation, data cleaning, and reporting outputs.
Strong working knowledge of SPSS (or equivalent: Q Research Software, R) for survey data processing, weighting, and statistical analysis.
Solid understanding of core survey research methodologies: sampling, weighting, margin of error, confidence intervals, and significance testing.
Experience processing data from common survey platforms and working with SPSS .sav, Excel, and CSV file formats.
Familiarity with crosstab and tabulation standards used in public opinion and market research.
Proficiency in Microsoft Excel for data manipulation, formatting, and QA checks.
Strong attention to detail and commitment to data accuracy.
Ability to manage multiple projects and competing deadlines in a fast-paced, remote environment.
Clear written and verbal communication skills; ability to flag issues and communicate progress to non-technical colleagues.
Self-starter who can work independently and proactively identify where processes can be improved.
Comfortable collaborating across time zones with US-based and international team members.
Undergraduate degree in statistics, quantitative social science, political science, data science, market research, mathematics, or a related field.
1–3 years of experience in survey data processing, market research, or public opinion research.
Must be legally authorised to work in the United States and comfortable working remotely.
Reside in 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); or Portland, OR.

Nice To Haves

Displayr certification preferred.
Experience with R or Python for data processing, automation, or scripting repetitive tasks.
Familiarity with advanced analytical techniques: key driver analysis, MaxDiff, segmentation/clustering, TURF analysis, or conjoint analysis.
Experience with verbatim coding and/or AI text analysis tools.
Experience building interactive dashboards or reusable reporting templates in Displayr (or similar tools such as Power BI or Tableau).
Knowledge of rim/raking weighting methodology and tools.
Familiarity with data quality assurance tools or respondent fraud detection approaches.
Relevant academic project experience will be considered.
Interest or experience in politics, public affairs, tech, or environment sectors is a plus.

Responsibilities

Receive, ingest, and process raw survey data from vendors in various formats (SPSS .sav, Excel, CSV, etc.).
Conduct thorough logic checking and data cleaning, verifying skip logic, identifying missing/erroneous responses, and flagging/resolving inconsistencies.
Identify and escalate anomalies, outliers, and quality issues in survey datasets before analysis.
Recode, rebase, and transform variables, including creating derived variables like Top-2-Box scores and NPS.
Code and categorize open-ended verbatim responses using AI-assisted text analysis tools where appropriate.
Build and maintain crosstab specifications in Displayr to produce accurate cross-tabulations across various subgroups.
Develop templated, reusable Displayr setups to expedite crosstab generation for recurring studies.
Generate toplines, frequency distributions, and banner tables according to research specifications.
Ensure statistical significance testing (confidence levels, margin of error, p-values, chi-square) is applied correctly and communicated clearly.
Apply and validate survey weights to ensure data representativeness.
Work with senior researchers to understand and implement weighting schemes (e.g., rim/raking weighting).
Document weighting decisions and methodology for each project.
Conduct descriptive and inferential statistical analysis, including regression, segmentation, driver analysis, and cluster analysis.
Identify opportunities to streamline and automate data processing workflows within Displayr and adjacent tools (e.g., R, Python).
Help develop internal standards, templates, and documentation for data processing best practices.
Contribute to reducing reliance on external data processing vendors by building in-house capacity.
Stay current with Displayr platform updates and AI-powered automation capabilities.
Work closely with Research Consultants, Senior Consultants, and Account Directors to understand project specifications and deliver data on time.
Prepare clean, well-labelled data files and crosstab outputs for analysis and reporting.
Communicate clearly about data issues, project status, and delivery timelines.
Support multiple projects simultaneously, managing competing deadlines with strong organizational discipline.