Senior Data Analyst

The Team: 

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.

The Role:

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. 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.

Responsibilities:

• 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 

Qualifications:

• 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

Additional Preferred Skills:

• Knowledge of machine learning techniques and algorithms
• Prior AdTech experience
• Familiarity with big data technologies such as Spark or Kafka
• Experience with cloud platforms such as AWS, or other cloud platforms
• Certification in data analysis, data science, or related field (e.g., Certified Analytics Professional, Data Science Certification)

Technologies

From our early days, we’ve always believed in using the right tools for the right job and continue to explore new technology options as we grow. The Data Science team uses the following technologies at TripleLift:

• Languages: Python
• Frameworks: Spark, DataBricks, ONNX, Docker, Airflow
• Databases: MySQL, Snowflake, S3/Parquet
• Amazon Web Services to keep everything running

#LI-TP1