Senior Market Insights Analyst
New
P
PriceLabsShort-term rentals
Source API remote eligibility restrictions: IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–7 years in roles that require data wrangling, analysis, preparing slides / stories, presenting insights
- Required Skills
- SQLData AnalysisMicrosoft ExcelData visualization
Requirements
- Have 3–7 years of experience in roles involving data wrangling, analysis, preparing slides or stories, and presenting insights; experience may come from different roles, personal projects, or schooling.
- Bring strong analytical skills; SQL, Excel, or BI tools are examples, and tool choice is less important than quality of analysis.
- Have proven experience creating executive- or public-presentation-ready slides.
- Be comfortable taking a point of view.
- Communicate clearly and in a structured way.
- Have a strong interest in marketing, storytelling, and developing and sharing insights.
- Be fluent with, or eager to become fluent with, LLMs as part of a daily workflow.
- Nice to have: exposure to SaaS, marketplaces, travel, or hospitality.
- Nice to have: experience supporting PR or external communications.
- Nice to have: experience working with messy, real-world data.
- Nice to have: experience building lightweight automations using Python scripts, no-code tools, or prompt chains.
Responsibilities
- Translate open-ended questions into analytical approaches.
- Explore internal datasets and BI tools, selecting appropriate metrics, comparisons, and data cuts.
- Identify trends and patterns worth sharing externally.
- Distill analyses into clear story angles, headlines, and narratives that explain why the findings matter.
- Use LLMs for exploration, drafting, synthesis, and iteration while retaining editorial judgment.
- Create clean, external-ready charts and visuals, choosing visualizations suited to the message.
- Maintain a clear distinction between internal analysis and PR-ready assets or public presentations.
- Partner with PR, content, and marketing.
- Build reusable datasets, templates, and standards to reduce rework and approval loops.
- Develop lightweight automations and reusable AI workflows.
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