Careers at Bigabid

Bigabid focuses on solving the key challenge of growth for mobile apps by building Machine Learning and Big Data-driven technology that can both accurately predict what apps a user will like and connect them in a compelling way. Our technology operates at a scale well beyond some of the largest internet companies, processing over 50 TB of raw data per day, handling over 4 million requests per second, and interacting with over a billion unique users a week. 

Our innovative platform is leading-edge with a strong product-market fit. As a result, we're seeing remarkable growth and close to zero customer churn. To support our hyper-growth and continue propelling the growth of some of the biggest names in the mobile industry, we offer a wide range of opportunities for different skill levels and experiences.

We are looking for an experienced Data Analyst to help us shape Bigabid’s strategy and processes, by bringing data-driven recommendations.

In this role, you will collaborate cross-functionally with product, engineering, and growth teams to identify key metrics that impact our strategy and performance.

Bigabid is a fantastic place to work. We reward talent. Our employees support each other in advancing individually and as a team. Most of all, we exceed our client’s expectations while still having fun.

Responsibilities:

• Strategic Thinking: Identify and tackle complex challenges, and develop strategic solutions contributing to our long-term goals.
• End-to-End Project Management: Independently manage projects from concept to completion. Ensure timely delivery of high-quality results, taking full ownership of challenging efforts.
• Track and Report Product KPIs: Collaborate with product teams to define, monitor, and report on KPIs for roadmap features, ensuring alignment with business goals like user engagement, retention, and revenue growth.
• Data-Driven Product Insights: Analyze product performance, and provide actionable insights to guide feature iterations and prioritize future roadmap decisions based on metrics such as LTV, ROAS, and customer satisfaction.
• Leadership & Collaboration: Lead and mentor analysts. Collaborate with cross-functional teams including management, product, engineering, and marketing to drive data-informed decisions.
• Continuous Improvement: Stay current with industry trends, tools, and best practices. Proactively suggest improvements to our data processes and systems.