Data Analyst

Kochava provides a unified platform with solutions for mobile + CTV advertising and marketing technology clients. We serve the world’s top publishers and digital brands, and we set industry standards for secure, real-time data solutions.  We help marketers establish identity, measure, and optimize their marketing across connected devices like smartphones, tablets, connected tv’s, and more, while enabling publishers to provide real-time, outcomes-based analytics to their advertising clients.

We enable the visibility into and management of billions of data points, millions of users, and hundreds of millions of dollars in lifetime value (LTV) and marketing budget.  The Kochava platform(s) empowers our customers to see and manage their data and unleash the power of their connected audiences; Globally, Kochava is trusted by the largest brands across a wide spectrum of verticals, including media & entertainment, quick-serve restaurants, e-commerce, gaming, finance and more, to perform high-end marketing analytics.

We are seeking a dynamic and detail-oriented Data Analyst to join the Kochava Foundry team. The role will involve writing SQL queries, analyzing data, creating dashboards, and delivering detailed reports. The candidate will also be responsible for automating various processes. The ideal candidate should possess experience in Python, and have a strong understanding of working with Google BigQuery and AWS Redshift databases. Additionally, experience with Google Cloud and AWS services for data storage and an understanding of Apache Superset for dashboard creation are preferred.

• Design, develop, and optimize complex SQL queries to extract and analyze data from Google BigQuery and AWS Redshift databases.
• Create, maintain, and enhance interactive dashboards using Apache Superset to visualize data insights for stakeholders.
• Develop and deliver comprehensive reports to clients and internal teams to drive data-driven decision-making processes.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications and solutions. Ability to utilize Python for data analysis and transformation tasks.
• Implement and manage automation workflows using Apache Airflow to streamline data processing and report generation.
• Support the data storage infrastructure on Google Cloud and AWS services.
• Ensure data quality and integrity by conducting rigorous testing and validation procedures.
• Stay current with industry trends, best practices, and emerging technologies in data analysis and engineering.

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Proven experience in SQL query writing and data analysis.
• Proficiency in Python.
• Hands-on experience with large databases, Google BigQuery and AWS Redshift preferred.
• Familiarity with Google Cloud and AWS services for data storage.
• Experience with dashboard creation using Apache Superset.
• Experience in the AdTech industry.
• Knowledge of automation frameworks, particularly Apache Airflow, is highly desirable.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills with the ability to present technical information to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.

Kochava began in 2011 when a team of mobile and gaming professionals saw the need to better understand the feedback loop of user acquisition, engagement, and LTV for mobile applications. Through the process of creating apps for customers from a wide range of industries, we were repeatedly asked if we could shed some light on what media advertising efforts were converting and the effectiveness of their mobile ad spend by partner. Realizing a solution to these questions wasn’t readily available, we started designing and building a mobile measurement platform that would become Kochava.   

Kochava is an equal opportunity employer committed to building a team culture that celebrates diversity and inclusion.