Data Analytics Consultant Expert
3 weeks ago
Job Title: Lead Assistant Manager EXL/LAM/1111669
About the Role:
As a key member of our Sports and Media practice, you will leverage your expertise in data analytics to empower clients in making informed business decisions. You will work closely with a dynamic team to contribute to the success of Fortune companies across various industry domains.
Key Responsibilities:
- Collaborate with clients to understand their business objectives and challenges within the Sports & Media sectors.
- Work closely with clients to understand their requirements and ensure the delivery of high-quality analytics solutions.
- Utilize strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making.
- Lead, manage, and train small teams, providing guidance and expertise in the field of data analytics.
- Develop and maintain advanced SQL queries for data extraction and analysis.
- Apply intermediate Machine Learning techniques to enhance analytical solutions.
- Create compelling visualizations, storyboards, and reports to effectively communicate insights to both technical and non-technical stakeholders.
- Contribute to the continuous improvement of analytics processes and methodologies.
Qualifications:
- Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas from a top-tier university/college.
- 4-5 years of hands-on experience in data and analytics roles.
- Extremely proficient in SQL for robust data extraction and analysis.
- Strong programming skills in Python.
- Intermediate expertise in Machine Learning concepts and applications.
- Excellent communication, problem-solving, and critical thinking skills.
- Self-started and willingness to take on challenging initiatives.
- Effective time management and attention to detail.
- Proficient in storyboarding, Excel, and PowerPoint.
- Good knowledge of statistical analysis and experimental design.
Preferred Qualifications:
- Master's degree in a relevant field (e.g., Data Science, Analytics, Business Analytics).
- Industry experience in Sports or Media.
- Familiarity with additional data analysis and visualization tools.
- Advanced statistical analysis and modeling skills.
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