Data Analyst

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes: About The Role (section). Then "What You'll Do" (responsibilities). Then "Platforms & Continuous Improvement" maybe part of responsibilities. Then "Experience" (requirements). Then "Knowledge & Skills". Then "Who You Are Beyond the technical skills" (maybe qualifies as Qualifications? Could be "Qualifications" or "Skills"? The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to map content accordingly. We have: - About The Role: we have a paragraph describing role. Use

About the role

then

content. - Responsibilities: "What You'll Do" includes bullet-like sentences. We'll turn into

• . Also "Platforms & Continuous Improvement" maybe part of responsibilities. We'll combine. - Requirements: "Experience" section includes required education, years, etc. Also "Additional Requirements" includes training, ISO standards, meetings. So we can put under Requirements. - Qualifications: maybe "Knowledge & Skills" and "Who You Are Beyond the technical skills" could be Qualifications or Skills. The instruction separate Skills and Qualifications. We'll decide: Qualifications could be education/experience (but that's Requirements). Skills could be technical skills and soft skills. Let's map: - Qualifications: maybe "Experience" is qualifications? But they said Requirements and Qualifications separate. Usually Requirements = mandatory, Qualifications = preferred. However we can put "Experience" under Requirements (since it's required). Then "Knowledge & Skills" under Skills. Then "Who You Are Beyond the technical skills" could be Qualifications (personal attributes). Or we could put that under Skills as soft skills. But we have both Skills and Qualifications headings available. Let's assign: - Requirements: Education, years experience, required experience, etc. - Qualifications: Preferred qualifications (e.g., ISO 20252 familiarity, experience with analytical tools, understanding of research methodologies, etc.) plus "Who You Are Beyond the technical skills" (personal qualities). However the instruction says only include section when posting has real specific content. We have content for both. - Skills: maybe technical skills list: proficiency with CRM, Qualtrics, MS Office, JMP/SPSS, advanced Excel, etc. But that overlaps with Knowledge & Skills. Could combine Knowledge & Skills as Skills. Let's decide: - About the role: paragraph. - Responsibilities: bullet list from "What You'll Do" plus "Platforms & Continuous Improvement" maybe. - Requirements: Education (Two-year degree or higher...), 2+ years experience, required experience producing client-ready data deliverables strongly preferred? Actually "required" for degree and years; "experience producing client-ready data deliverables strongly preferred" maybe a qualification. We'll keep required items: degree, 2+ years experience, working knowledge of data analysis, statistical methods, applied problem solving, experience validating dataset deliverables and maintaining data quality standards (ISO 20252 familiarity preferred, not required) - that's a qualification. Experience supporting several research projects, partnering with technical teams, experience with at least one analytical tool (JMP, SPSS, R, Python, SAS). We'll separate required vs preferred. But we need to not invent or summarize away detail. We'll preserve all substantive info. We'll put all under Requirements? Might be too long but okay. However we also have "Additional Requirements" about training, ISO/IEC 27001, ISO 20252, weekly meetings. That's also requirements. So we can have Requirements section with all those items as list. - Skills: maybe we can list "Proficiency with CRM programs, Qualtrics or similar survey tools, Microsoft Office..., JMP or SPSS familiarity is a plus, Advanced Excel skills..., Strong understanding of survey design..., Ability to translate data..., Strong task and timeline management..., Adaptability..., Understanding of research methodologies..." That's a mix of skills and qualifications. But we already used Skills heading; we can put those there. - Qualifications: maybe we can put "Who You Are Beyond the technical skills" as personal attributes. - Benefits, Pay, Schedule: The posting includes Pay range: "The Pay Range For This Role Is 55,000 - 65,000 USD per year(Remote (United States))". So we have Pay. No explicit Benefits or Schedule besides remote. The posting mentions Remote (United States) but not schedule. No benefits mentioned. So we include Pay section only. Not Benefits or Schedule if not present. Also we need to remove boilerplate: EEO, equal opportunity, etc. Also remove "About L & E Research, Inc." maybe not needed as it's not a section heading. The instruction: do not repeat job title as heading; we already have About the role. The "About L & E Research, Inc." is introductory; we can drop it as it's not under a heading we need. But we need to preserve substantive information; that paragraph is about company, not role. Might be considered boilerplate? It's about the company; could be considered not required but maybe we keep as part of About the role? The instruction: "Prefer a few substantive sections over many thin ones." The company description may be considered not essential for the role but it's substantive. However the instruction says to include sections only when posting has real specific content for it. The company description is not under a heading; we could incorporate it into About the role paragraph? The About the role currently has a paragraph about role; we could prepend company description? But that might be mixing. Safer to drop the company description as it's not under a heading we need to output; but we must preserve ALL substantive information; dropping it would lose info. However the instruction says "Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions." Company description is not those; it's substantive about the employer. But we are only outputting a fragment for the job posting; maybe we should include it as a paragraph under About the role? The About the role heading is for role description; we could still include a brief company overview as part of About the role? The instruction: "use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid adding extra paragraphs under those headings beyond the role description. So we can put company description under About the role as a paragraph before role specifics. Let's craft:

  About the role

  At L&E Research, we connect brands with people to make conversations happen. Since 1984, we've been a trusted partner in qualitative research recruitment across healthcare, consumer goods, B2B, and beyond. We're growing our team and looking for a Recruitment Strategist who thrives on solving hard problems and building relationships.

  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.

  Then Responsibilities: combine "What You'll Do" bullet points and "Platforms & Continuous Improvement". We'll list each sentence as li. Let's extract responsibilities: From "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. We'll turn each bullet into li. Requirements: list items: - 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. - Complete all training course assignments issued by IT and adhere to ISO/IEC 27001 and ISO 20252 standards. - Attend weekly team meetings and applicable department and company meetings. Also maybe "This job summary outlines primary responsibilities but is not intended to be all-inclusive. Duties may be modified or expanded to reflect business needs and the natural progression of the role." That's boilerplate; we can drop. Skills: list: - 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). Qualifications: "Who You Are Beyond the technical