Data Analytics Manager
6 days ago
We are seeking a highly skilled Data Analytics Manager to join our Data Science team at TripleLift. As a key member of our team, you will play a crucial role in analyzing ad inventory, bidding strategies, and performance metrics to identify trends, patterns, and anomalies that inform strategic decision-making aimed at maximizing revenue and Exchange efficiency.
Responsibilities:- Lead a team of data analysts in analyzing data from the TripleLift exchange and build the function into a center of excellence for data analytics across the organization.
- Collaborate with cross-functional teams to define project objectives, data requirements, and analytical approaches, and help integrate data-driven insights into company strategy.
- Conduct ad-hoc analyses, provide guidance on analytical techniques and best practices, and provide analytical support to various departments as needed.
- Develop and implement advanced analytical models and algorithms to extract meaningful, actionable insights from data to inform strategic decision-making.
- Interpret and communicate findings through insightful reports, presentations, and data visualizations.
- Foster a culture of innovation and continuous improvement within the Data Analytics team.
- 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.
- Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics).
- 7+ years of experience in data analytics, with 1+ years in a managerial capacity, with a proven track record of delivering actionable insights and driving business impact.
- High level of proficiency in data analysis tools and programming languages (e.g., SQL, Python, R).
- Strong analytical and quantitative skills, with expertise in statistical methods, hypothesis testing, and regression analysis.
- Familiarity with monitoring and measuring statistical modeling performance with the ability to quickly build dashboards using tools like Grafana, Looker, etc.
- Strong attention to detail and a commitment to delivering high-quality work.
We are an equal opportunities employer and welcome applications from all qualified candidates. If you are passionate about data analysis and want to join a dynamic team, please submit your application.
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