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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** L&e Research, Inc. - **Location:** United States (Remote available) - **Experience:** Starter - **Salary:** $55,000.0 - $65,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Word, Microsoft Excel, Artificial Intelligence, Data Analysis, Big Data, Encodings, Data Integrity, R (Programming Language), SPSS (Software), Python (Programming Language), Microsoft Office, Microsoft PowerPoint, SAS (Software), Microsoft SharePoint, Qualtrics, Data Processing, JMP (Statistical Software), IAd (Apple'S Advertising Platform), Data Pipelines - **Published:** September 22, 2026 - **Apply:** https://www.builtincolorado.com/job/data-analyst/11343314?handler=ApplyRedirect ## About the Role * Two-year degree or higher in Market Research Analytics, Statistics, Data Science, or equivalent (required). * 2+ years of data processing or analyst experience (required); experience producing client-ready data deliverables strongly preferred. * Working knowledge of data analysis, statistical methods, and applied problem solving (required). * Experience validating dataset deliverables and maintaining data quality standards (ISO 20252 familiarity preferred, not required). * Experience supporting several research projects at once and partnering with technical teams and internal stakeholders. * Experience with at least one analytical tool such as JMP, SPSS, R, Python, or SAS. Knowledge & Skills * Proficiency with CRM programs, Qualtrics or similar survey tools, Microsoft Office (Word, Excel, PowerPoint, Teams, OneDrive, SharePoint), internet, and email. JMP or SPSS familiarity is a plus. * Advanced Excel skills, including sorting, grouping, and summarizing large data sets accurately. * Strong understanding of survey design (logic, quotas, piping/embedding, complex routing) and data processing workflows (cleaning, tabulation, open-end handling, deliverable formatting). * Ability to translate data into clear, accurate written findings for internal and client audiences. * Strong task and timeline management, including prioritization, risk identification, and stakeholder communication. * Adaptability and a strong aptitude for learning new technologies, including emerging AI tools. * Understanding of research methodologies such as conjoint analysis, MaxDiff, sequential monadic testing, message/concept testing, and usage & attitude studies (preferred). ## Description Reporting to the Insights Research Assistant Director (IAD), the Data Analyst supports the Insights team within our Product Insights department with data deliverables, quality control, top-line reporting, and analysis across assigned projects. You will validate work to ISO 20252 standards and provide day-to-day guidance and quality review of data tasks. This role has no direct reports. WHAT YOU'LL DO Data Deliverables & Analysis * Own crosstabs and data tables, cleaned client data files, organized open-ended data documents, and JMP files for each assigned survey, including building the data sets for JMP conversion. * Set up open-ended data analysis, guide open-ended coding deliverables, and code voluntaries as needed. * Analyze survey data to identify patterns, outliers, and notable findings, and flag them to the project team. * Build top-line reports, support research summary reports, and create Individual Panelist Sheets as needed. Quality Control & Data Integrity * Validate dataset deliverables to ISO 20252 standards before client delivery. * Quality-check deliverables from the Data Processor and Insights Research Assistant and give clear, actionable correction feedback. * Maintain data integrity, consistency, and documentation throughout each project; troubleshoot issues and escalate risks to the IAD. * Test surveys with the Insights Programmer for accuracy, flow, logic, embedding, and piping, and manage survey test links. Survey Design & Data Planning * Support survey architecture before programming so the design aligns with research objectives. * Partner with the IAD on data plans (what data is due to whom, when, and with which client breakouts) and develop analysis plans covering questions, re-codes, and correlations between datasets. * Distribute surveys with a working understanding of embedded data, quotas, and complex design options. Team Support & Coverage * Provide day-to-day direction, prioritization, and technical guidance to the Data Processor. * Serve as backup for the data-side work of the Insights Research Assistant and Data Processor, and step in on project tracking, FMP entry, and study documentation as needed. * Join project kickoffs and check-ins, communicate the status of data tasks, timing, and risks, and make sure internal teams get timely, usable outputs. Platforms & Continuous Improvement Use platforms such as CondUX, Qualtrics, SPSS, JMP, and QMOB to meet client needs, stay current on emerging research and data technologies, and contribute to internal technology efforts., * Beyond the technical skills, the right person for this role brings these qualities to the work every day: * Works hands-on with data. Manipulates and analyzes data sets using the software above or similar programs. * Guides others. Supports less experienced team members while holding high standards for quality and accountability. * Thrives in a virtual, fast-paced setting. Self-motivated and works well both independently and as part of a team. * Acts with integrity. Uses sound business practices that align with our values. * Communicates clearly. Speaks, writes, and listens well, and delivers projects on time. * Collaborates. Works cooperatively with others to set goals, solve problems, and make good decisions. * Stays organized. Sets priorities, builds a work schedule, monitors progress, and tracks the details. ADDITIONAL REQUIREMENTS * Complete all training course assignments issued by IT and adhere to ISO/IEC 27001and ISO 20252 standards. * Attend weekly team meetings and applicable department and company meetings. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [JSON and Beyond](https://www.wearedevelopers.com/videos/968-json-and-beyond) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [OLAP for AI Applications and why you should care](https://www.wearedevelopers.com/videos/100212-olap-for-ai-applications-and-why-you-should-care) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)