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Senior Data Analyst (E-commerce)
Posted 15 days agoViewed
💎 Seniority level: Senior, 5+ years
📍 Location: United States
🔍 Industry: E-commerce
🏢 Company: Jiffy👥 11-50💰 Seed over 4 years agoHome ServicesHome ImprovementHome Renovation
🗣️ Languages: English
⏳ Experience: 5+ years
Requirements:
- Bachelor's or Master's degree in a quantitative field such as Data Analytics, Statistics, Mathematics, Computer Science, or a related field.
- 5+ years work experience with 3+ years of experience as a Data Analyst, preferably in an ecommerce or related industry.
- Proficiency in using Python and SQL to query data, generate visualizations, and run statistical analysis.
- Strong analytical and problem-solving skills and attention to detail with the ability to think critically and propose innovative solutions to complex business challenges.
- Excellent communication skills with the ability to effectively present data-driven insights to technical and non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
- Strong project management skills, including the ability to prioritize and meet deadlines.
- Knowledge of data governance and best practices.
- Experience working with large-scale datasets and conducting statistical analysis.
- Knowledge of e-commerce and marketing analytics data is a plus.
Responsibilities:
- Conduct in-depth data analysis to identify trends, patterns, and anomalies in large datasets.
- Collaborate with various teams to gather and consolidate data from multiple sources, ensuring data quality and accuracy.
- Develop and maintain data models to support business requirements and reporting needs.
- Create interactive and meaningful data visualizations, dashboards, and reports to communicate insights to stakeholders.
- Apply statistical techniques to analyze data and provide recommendations.
- Develop and implement predictive models to support forecasting and decision-making.
- Utilize advanced data mining techniques to discover hidden insights within our data.
- Collaborate with various teams, including business units, IT, and executives, to understand their data needs and provide data-driven solutions.
- Mentor and provide guidance to junior data analysts on best practices, data analysis techniques, and tools.
- Stay up-to-date with the latest industry trends, tools, and technologies in data analytics
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