Manager, Data Analytics

About TripleLift

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world’s leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.

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 Data Analytics Manager to join our Data Science team. As the Manager for the Data Analytics 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. You will also build and mentor a team of proficient, outcome‑driven data analysts.

Responsibilities

• Lead, hire, manage and mentor a proficient team of data analysts focused on analyzing data from the Triplelift exchange, and build the function into a center of excellence for data analytics across the organization.
• Lead by example, set strong precedents for the team, and implement effective processes and practices to ensure consistent and effective delivery.
• Plan, coordinate, and manage the team's workflow to ensure optimal productivity and timely completion of tasks.
• 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 and data.

Qualifications

US Jobs

Pay is based on various non‑discriminatory factors including but not limited to experience, education, and skills. The base salary range represents the low and high end of the TripleLift US salary range for this position.

Salary range : $85,000–$115,000 USD.

Benefits

Life at TripleLift

At TripleLift, we’re a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.

People, Culture & Community Initiatives

At TripleLift, we are committed to building a culture where people feel connected, supported, and empowered to do their best work. We invest in our people and foster a workplace that encourages curiosity, celebrates shared values, and promotes meaningful connections across teams and communities. We want to ensure the best talent of every background, viewpoint, and experience has an opportunity to be hired, belong, and develop at TripleLift. Through our People, Culture, and Community initiatives, we aim to create an environment where everyone can thrive and feel a true sense of belonging.

Privacy Policy

Please see our Privacy Policies on our TripleLift and 1plusX websites.

TripleLift does not accept unsolicited resumes from any type of recruitment search firm. Any resume submitted in the absence of a signed agreement will become the property of TripleLift and no fee shall be due.

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