Junior User Acquisition Manager

Description

Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platform is powered by machine learning and is constantly improving its distribution algorithms.

We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.

Our ever evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power machine Learning predictions, business critical metrics, and analytics used to power our decision making process.

We are looking for a highly motivated, data-driven User Acquisition Manager who is detail-oriented and result-driven to deliver flawless campaign execution.

You will have an exciting career combining creative thinking, analytical skills, attention to detail, and problem solving to help meet and exceed client’s business goals and KPIs.

Responsibilities:

• Manage a portfolio of large scale budget campaigns with a goal-oriented approach and strong analytical capabilities
• Analyze and optimize audience-based campaigns on an ongoing basis to exceed client KPI’s
• Work with product and data science teams to gather trends and campaign-specific insights to improve performance for campaigns and technology platforms

Requirements

• Strong analytical and critical thinking skills
• Troubleshooter, problem-solver who knows how to navigate trade-offs
• Highly skilled in Excel – pivots, vlookup, advanced formulas
• Excellent communication skills
• English – High level (oral & written) – a must
• SQL experience - advantage
• Ability to handle fast-paced environments with effective time-management skills
• Must be able to prioritize and meet deadlines
• Bachelor’s degree (preferably in the quantitative discipline)

Excerpt

Manage goal-oriented campaigns with strong analytical capabilities. Work with product and data science teams to improve performance for campaign.

Originally posted on Himalayas