Data Analyst
2 weeks ago
Responsibilities
- Collect, clean, and transform raw data into meaningful datasets for analysis.
- Design and maintain BI dashboards and reports (Power BI, Tableau, Looker Studio, or equivalent) for business stakeholders.
- Translate business needs into technical requirements, ensuring data visualization supports decision-making.
- Monitor KPIs, metrics, and business trends to provide insights on performance and growth opportunities.
- Develop and implement statistical models, machine learning algorithms, and predictive analytics to support strategic initiatives.
- Perform exploratory data analysis to identify patterns, correlations, and anomalies.
- Build, test, and deploy models for forecasting, segmentation, recommendation, and optimization.
- Ensure data integrity, accuracy, and compliance with internal policies.
- Partner with cross-functional teams to understand requirements and deliver actionable insights.
- Document methodologies, maintain reproducible workflows, and promote best practices in data usage.
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
- Minimum 4 years of proven experience as a Data Analyst, BI Analyst, or Data Scientist.
- Proficiency with BI tools for dashboarding and reporting.
- Strong foundation in statistics, data modeling, and machine learning techniques.
- Excellent problem-solving skills, with the ability to translate complex findings into actionable insights.
- Strong knowledge of sales/e-commerce funnels, digital marketing metrics, and fulfilment operations metrics.
- Analytical thinker with strong attention to detail.
- Effective communicator, able to explain technical concepts to non-technical stakeholders.
- Adaptability in a fast-paced, data-driven environment.
- Business acumen to connect data insights with strategic goals.
- Continuous learner, keeping up with trends in data science and BI.
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