• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Master's degree preferred
• Minimum of 4 years of experience in data analysis, with a proven track record of delivering actionable insights and driving business impact
• Proficiency in SQL for data extraction and manipulation
• Experience with Python or R for statistical analysis and modeling
• Strong analytical and quantitative skills, with expertise in statistical methods, hypothesis testing, and regression analysis
• Experience working with large datasets and using data visualization tools such as Looker, Power BI, or Matplotlib
• Solid understanding of data warehousing concepts and experience working with relational databases (e.g., MySQL, PostgreSQL)
• Familiarity with monitoring and measuring statistical modeling performance with ability to quickly build dashboards using tools like Grafana, Looker, etc
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities and deadlines effectively
• Strong attention to detail and a commitment to delivering high-quality work
• The ideal candidate will have a strong background in statistical analysis, data manipulation, and data visualization techniques
• They should possess excellent problem-solving skills, attention to detail, and the ability to communicate findings effectively to stakeholders at all levels

Desirable

• TripleLift, a fast-growing startup tackling some of the most challenging problems in the world of digital advertising, is seeking a highly skilled and experienced Senior Data Analyst to join our Data Science team
• The Senior Data Analyst will play a crucial role in analyzing complex datasets, deriving actionable insights, and providing strategic recommendations to drive informed decision-making across the organization
• Perform in-depth analysis of large, complex datasets to identify trends, patterns, and correlations
• Develop and implement advanced analytical models and algorithms to extract meaningful, actionable, insights from data
• Collaborate with cross-functional teams to define project objectives, data requirements, and analytical approaches
• Design and execute experiments to test hypotheses and evaluate the effectiveness of business strategies
• Interpret and communicate findings through insightful reports, presentations, and data visualizations
• Provide strategic recommendations based on data-driven insights to support decision-making processes
• Conduct ad-hoc analyses, provide guidance on analytical techniques and best practices, and provide analytical support to various departments as needed
• Contribute to the development and enhancement of data infrastructure, including data collection, storage, and retrieval systems
• Stay up-to-date on emerging trends, tools, and technologies in data analysis and data science
• The Data Science team is responsible for analyzing our data and deriving actionable insights and models to help push our business forward
• The type of projects include improving our prediction models, modeling users and segments in privacy-protecting ways, and running various experiments to understand our real time bidding marketplace