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We are looking for an entry-level Data Scientist to join a dynamic analytics team in New York, New York. This role offers the opportunity to work closely with large datasets, uncover meaningful trends, and present actionable insights directly to clients. If you are detail-oriented, technically skilled, and passionate about turning data into impactful business solutions, this position is an excellent fit for you.
Job Responsibility:
Analyze large client datasets to perform Matchback reporting using Excel and internal tools
Create visually compelling PowerPoint presentations featuring charts and graphs to summarize insights
Present analytical findings and recommendations directly to clients, showcasing strong communication skills
Collaborate with team members and executives to ensure alignment on data-driven strategies
Assist with predictive modeling projects, leveraging external vendor tools and receiving training as needed
Maintain and optimize reporting processes to ensure accuracy and efficiency
Utilize Python and SQL to support data analysis and visualization tasks
Apply data visualization techniques through tools like Tableau or Power BI to enhance reporting
Provide timely updates and insights to stakeholders, contributing to strategic decision-making
Requirements:
1–3 years of experience in data analysis or data science roles
Proficiency in Excel, including pivot tables, and familiarity with Python
Experience with Tableau or Power BI for data visualization
Strong communication and presentation skills, with the ability to explain complex data in a clear manner
Knowledge of predictive modeling techniques and machine learning concepts
Familiarity with Microsoft SQL for database management and analysis
Ability to work on-site in New York, New York, 2–3 times per week as required
A proactive mindset and eagerness to learn and grow within a collaborative team environment
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