Isentia
Sr. Insights Analyst
Company
Role
Sr. Insights Analyst
Location
Job type
-
Found on Mokaru
7 months ago
Salary
Job description
Isentia is the Asia-Pacific region's leading media intelligence company, empowering clients to understand their brand and reputation. Our clients are diverse, ranging from globally renowned brands right through to start-ups and not-for-profit organizations.
We are hiring a Senior Insights Analyst (SIA) to transform data into strategic insights, implement GenAI solutions to elevate reports and workflows, and build strong client relationships based on deep industry expertise.
Job Description/Key Responsibilities
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Perform analysis of large datasets to uncover patterns and trends, translating complex data into strategic narratives and actionable recommendations while ensuring timely and successful execution.
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Drive the adoption of emerging tools and technologies, including GenAI, to enhance analytical capabilities and automate processes.
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Develop and deliver compelling reports and presentations that clearly communicate findings to clients, supporting their strategic decisions.
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Proactively share knowledge and collaborate with team members to foster a culture of continuous improvement and high-quality output.
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Champion the use of and help refine the team's standards for analytical methodologies, reporting, and quality control.
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Education & Experience
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Bachelor's degree in Mass Communication, Marketing, Journalism, Computer Science, Data Science, Business Analytics, or a related field.
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Preferably with at least 3 years of experience in a data analysis and insights role; highly-skilled candidates with less experience are encouraged to apply.
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Proven experience working with large data sets and applying statistical analysis techniques.
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Knowledge of market research methodologies and industry trends.
Technical Skills
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Data Analysis & Programming: Proficiency in SQL and programming languages like Python (for data manipulation, analysis, and text mining) or R.
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Data Visualization: Strong skills in dashboard design using tools like Tableau, Power BI, or Google Data Studio.
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Data Science: Experience with data science, data mining, text mining, and Natural Language Processing (NLP).
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Business Software: Advanced proficiency in Microsoft Excel, including VBA.
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Productivity Suites: High-level proficiency with Microsoft Office (PowerPoint, Word) and G Suite (Sheets, Docs, Slides).
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Proficiency with machine learning (ML) models and Generative AI (GenAI).
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Experience with data manipulation or text mining using JavaScript.
Core Competencies
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Strong analytical and problem-solving skills.
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Excellent communication and presentation skills.
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Capable of working independently and managing multiple projects simultaneously.
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Detail-oriented, with the ability to deliver high-quality work under tight deadlines.


