
Advanced Analyst
2 days ago
About the Role :
We are seeking a highly skilled and motivated Advanced Analyst with 4-6 years of experience to join our dynamic Data & Analytics team. The ideal candidate will be a self-starter who can lead complex data analysis projects from inception to completion, providing actionable insights that drive business strategy and performance. This role requires a blend of technical expertise, analytical rigor, and strong communication skills to translate complex data into clear, compelling narratives for both technical and non-technical audiences.
Key Responsibilities :
- Lead and execute end-to-end data analysis projects, from defining business questions and identifying data sources to developing methodologies and presenting final results.
- Conduct deep-dive statistical analysis and modeling to identify trends, predict outcomes, and uncover opportunities for business growth and optimization.
- Design, develop, and maintain advanced dashboards, reports, and data visualizations using business intelligence tools (e.g., Tableau, Power BI) to monitor key performance indicators (KPIs).
- Collaborate with stakeholders across various departments (e.g., Product, Marketing, Finance) to understand their analytical needs and provide data-driven recommendations.
- Develop and maintain robust data pipelines and ETL processes using SQL to ensure data accuracy and availability.
- Build and deploy predictive models and perform ad-hoc analyses using programming languages such as Python or R.
- Mentor and provide guidance to junior analysts on best practices, data integrity, and analytical techniques.
- Stay current with industry trends and emerging technologies in data analytics and business :
Required :
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
- 5-6 years of professional experience in a data analyst, business intelligence, or similar role.
- Proven expertise in SQL for data extraction and manipulation.
- Strong proficiency in at least one statistical programming language (Python or R) for data analysis and modeling.
- Advanced skills in a leading business intelligence tool (e.g., Tableau, Power BI, Looker).
- Solid understanding of statistical analysis, experimental design, and data modeling concepts.
- Excellent problem-solving skills and a meticulous attention to detail.
- Strong written and verbal communication skills, with the ability to present complex findings clearly and concisely.
Preferred :
- Master's degree in a relevant field.
- Experience with big data technologies (e.g., Apache Spark, Hadoop).
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.
- Experience in building and deploying machine learning models.
- Certification in data analytics or relevant technologies.
(ref:hirist.tech)-
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