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Popular mid-level data role, 2–5 years, and broad, generalist skillset increases applicant density.
Medium—analytical skills transfer broadly, but industry-specific domain knowledge in healthcare/industrials increases fit sensitivity.
Moderate—explicit 2–5 years plus mandatory SQL/Excel but several preferred skills rather than hard requirements.
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Support development and delivery of data-led products in Healthcare, Consumer, and Industrials sectors by converting business requirements into structured datasets and insights.
Conduct secondary research, collect, clean, validate and analyze data from multiple sources to identify trends and actionable insights.
Collaborate with product managers, data teams, and business stakeholders to define data models, create dashboards/reports, automate data workflows, and maintain data quality.
2–5 years of relevant work experience preferred in data analysis, business research, market intelligence, or data products.
Proficiency in Excel or Google Sheets and working knowledge of SQL required.
Experience in Healthcare, Consumer, Industrials, market research, consulting or data-product roles is an advantage.
Educational qualification flexible; practical experience prioritized over formal degrees.
Experienced in turning unorganised and diverse data sources into structured, reusable data products rather than one-time reports.
Strong secondary research skills combined with ability to work across business information and structured data independently.
Able to manage multiple projects while ensuring high data accuracy and collaborating effectively with product and tech teams.