Website TripleLift

Company: TripleLift
Location: Remote / Hybrid
Department: Data Science and Analytics

About TripleLift

TripleLift is an innovative AdTech company transforming digital advertising by combining creative excellence, data intelligence, and smart targeting. Handling over 1 trillion ad transactions monthly, we empower brands, publishers, and platforms to monetize effectively across online video, connected TV (CTV), display, and native ads.

As part of the Vista Equity Partners portfolio, we are committed to economic inclusion and diversity — proudly holding an NMSDC certification. Our mission is simple yet powerful: to make advertising more effective, engaging, and ethical through data-driven innovation.

About the Role

We are seeking a Data Analyst to join our Data Science and Analytics team, a vital part of TripleLift’s growth strategy. The role is designed for a data-driven problem solver who can analyze large datasets, extract meaningful insights, and support business decisions across multiple departments.

As a Data Analyst, you’ll collaborate with teams across engineering, product, and operations to turn raw data into actionable intelligence. Your contributions will directly influence advertising optimization, campaign performance, and business growth.

Key Responsibilities

  • Perform in-depth analysis of datasets to uncover trends, correlations, and actionable insights.

  • Support the design and execution of experiments to test and validate business hypotheses.

  • Develop and deliver visual dashboards and reports using tools such as Looker, Power BI, or Matplotlib.

  • Provide ad-hoc analytical support to business units and help them make informed, data-driven decisions.

  • Collaborate closely with data engineers to ensure clean, structured, and reliable data pipelines.

  • Assist in data collection, cleaning, and transformation for analysis and reporting.

  • Build and maintain data documentation, ensuring consistency and accuracy across analytics reports.

  • Participate in developing predictive models and statistical frameworks to improve decision-making.

  • Stay updated with the latest trends and technologies in data analytics and AdTech.

Required Qualifications

  • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

  • 1–2 years of experience in a data analysis or business intelligence role.

  • Proficiency in SQL for data extraction and manipulation.

  • Working knowledge of Python for statistical analysis and automation.

  • Hands-on experience with data visualization tools like Power BI, Looker, or Tableau.

  • Familiarity with relational databases (MySQL, PostgreSQL) and data warehousing concepts.

  • Strong analytical mindset with attention to detail and problem-solving ability.

  • Excellent communication skills, with the ability to translate data insights into business recommendations.

Preferred Skills

  • Exposure to machine learning techniques and data modeling.

  • Experience working in AdTech, MarTech, or digital media analytics.

  • Knowledge of big data technologies such as Spark or Kafka.

  • Familiarity with AWS or other cloud platforms.

  • Understanding of data performance monitoring tools like Grafana or Looker dashboards.

Technologies We Use

Our analytics stack is designed for performance, scalability, and innovation. The team uses:

  • Languages: Python

  • Frameworks: Spark, DataBricks, ONNX, Docker, Airflow

  • Databases: MySQL, Snowflake, Amazon S3 (Parquet format)

  • Cloud Platform: AWS

Life at TripleLift

At TripleLift, we believe that great work happens when great people collaborate. Our culture emphasizes positivity, inclusivity, and growth. We encourage curiosity, creative thinking, and teamwork — fostering an environment where everyone can contribute meaningfully.

We invest in People, Culture, and Community initiatives to ensure every team member feels connected, supported, and empowered. Whether you’re solving data challenges or innovating in AdTech, you’ll find an atmosphere of continuous learning and shared success.

Why Join Us?

  • Opportunity to work with cutting-edge AdTech and data analytics tools.

  • Collaborate with a diverse, global team passionate about technology and creativity.

  • Continuous learning opportunities through workshops and mentorship.

  • Competitive compensation and comprehensive benefits.

  • Be part of a company that values innovation, equality, and excellence.

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