Business Analyst:
Position Overview:
We are seeking a skilled and detail-oriented Business Analyst with a strong analytical mindset and a passion for solving complex business problems in the eCommerce industry. The ideal candidate will have experience in data-driven decision-making, project ownership, and technical proficiency in tools like SQL, Python, and Tableau. This role offers the opportunity to work in a dynamic environment and contribute to high-impact projects that drive business growth and innovation.
Key Responsibilities:
- Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to understand and document business requirements.
- Analyze large datasets to identify trends, insights, and actionable recommendations that enhance business processes and decision-making.
- Develop and maintain dashboards and reports using tools like Tableau to support ongoing business operations and performance tracking.
- Utilize SQL and Python to extract, manipulate, and analyze data efficiently.
- Lead independent projects from initiation to execution, ensuring alignment with business goals and timely delivery.
- Partner with stakeholders to evaluate current processes, identify areas for improvement, and implement innovative solutions.
- Translate complex data findings into clear, concise presentations for both technical and non-technical audiences.
Basic Qualifications:
To be successful in this role, you should have the following:
- A minimum of 3+ years of experience as a Business Analyst or in a related analytical role.
- Proven experience analyzing business problems within eCommerce companies, with a strong understanding of the industrys challenges and opportunities.
- Demonstrated ability to manage and execute independent projects successfully.
- Hands-on expertise with SQL, Python, and Tableau for data analysis and visualization.
Preferred Qualifications:
While not mandatory, the following qualifications are highly desirable:
- Experience working with predictive analytics, decision models, and data mining libraries, along with the tools used for developing such models.
- Familiarity with building or administering data reporting/analytics platforms, ensuring data
integrity and usability.
- Advanced querying skills, enabling the extraction of complex insights from large and varied datasets.
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