обновлено 3 дня назад
Sr Data Analyst (Advanced Analytics/Predictive Modelling/ML/Basics of DS + LLM + Problem Solving)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Data Analyst (Advanced Analytics/Predictive Modelling/ML/Basics of DS + LLM + Problem Solving): Analyzing Gartner’s proprietary and business data to improve client retention, with an accent on advanced analytics, statistical analysis, and foundational data science. Focus on structuring strategic problems, developing scalable analytics solutions with data science and engineering teams, and presenting actionable insights to senior business leaders.
Location: Gurgaon, India; hybrid work environment
Company
provides research, analysis, and business and technology insights to enterprise leaders worldwide.
What you will do
- Structure problems, conduct analysis, and implement strategic initiatives and cross-organizational deliverables.
- Partner with data science and data engineering teams to develop scalable analytics solutions that improve client retention.
- Analyze large datasets to identify business insights, patterns, and trends.
- Help leverage ’s proprietary data across content, client interactions, conferences, and other client-facing assets.
- Work with business leaders to understand pain points and build data-driven solutions.
Requirements
- 3–5 years of progressive experience in business or data analytics.
- Bachelor’s degree required; statistics, data science, mathematics, engineering, computer science, or operations research preferred.
- Foundational understanding of data science concepts and their business implementation.
- Technical skills in data analysis and visualization, with basic programming knowledge in Python, R, and SQL.
- Experience with statistical analysis, data quality checks, documentation, critical thinking, and complex problem solving.
- Strong communication, collaboration, influencing, Microsoft Excel, and PowerPoint skills.
Culture & Benefits
- Competitive compensation and generous paid time off.
- Group medical insurance, parental leave, employee assistance program, and charity match program.
- Collaborative, team-oriented, and diverse work environment.
- Professional development and growth opportunities.
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