Position: Analyst
Company: LoopMe
Experience required: 1y
English level: intermediate

Based in Ukraine, our team helps to assure that campaigns run smoothly for all our clients portfolio across all markets.We use our analytical savviness and the power of our proprietary automation solutions to meet quality standards, optimize the campaign KPIs, and maximize our ad spend by delivering maximum performance to our clients.If you like data, feel excited when you spot patterns in it, and love using those insights to drive tangible impact in a fast-paced environment, let's talk!

What You'll Do:

- You'll take responsibility of optimization side for a wide range of our supply partners,supported by an experienced mentor, create and recommend optimization strategies for a significant number of our advertising campaigns;
- You'll operate our world class automation tools to gain insights in a fast and efficientmanner;
- You'll conduct analysis leveraging tons of data readily available at your fingertips and using advanced tools (Tableau);
- Work closely with publishing team in Ukraine, London, New York to process internal vetting requests;
- You'll conduct ad-hoc analysis needed for a decision making on all aspects of our Supply side of business (MS Excel, SQL). We constantly support each other in brushing up our skills in this area.

What You'll Need:

- Strong self-motivation to deliver results according to KPIs with no strict control over the process;
- You enjoy analytical challenges and love to prove your point using data. You have significant experience working with data in any tools - you enjoy learning new skills around new tools and techniques;
- Strong business acumen - you quickly grasp relevant KPIs and metrics, and constantly look for opportunities to improve performance;
- Customer centric mindset;
- Ideas, ideas, ideas! - You have a can-do attitude and make things happen in a fast-paced environment;
- Previous professional experience with a quantitative focus;
- Intermediate level of English.

Nice To Have:

-A degree in the Finance, Economics, Statistics or other concentrations with a quantitative focus;
- Advanced knowledge of basic Excel functions: VLOOKUP, pivot tables, SUMIF etc.