Business Analyst

Description

Tango is a successful, market leader, a live-streaming Platform with 450+ million registered users, in an industry projected to reach $240 BILLION in the next couple of years.

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans, and monetize their talents.

Tango live stream was founded in 2018 and is powered by 500+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”.

The best way to describe Tango's work style is not to use the word “impossible”. We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and, of course, our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).

Do you want to join the party?

Responsibilities

• Lead the development of analytics solutions to support business objectives, leveraging SQL and data visualizations.
• Identify trends and opportunities through advanced data analysis, modeling, and visualization, translating findings into actionable insights for management.
• Collaborate with cross-functional teams to understand business requirements and develop analytics strategies to support revenue growth.
• Monitor and report on key performance indicators (KPIs) to track the pain points and opportunities for the business.
• Develop new reporting frameworks and methods by using data and visualization tools.
• Ensure data quality and consistency for accurate analysis and reporting.
  
  

• 3+ years of experience as a business or product analyst, ideally from B2C mobile app companies.
• Extensive experience working with SQL – a must (BigQuery - advantage).
• Proficient in Excel - a must.
• Experience with data visualization tools for large data sets using BI systems (Looker, Tableau, etc.) is a must.
• B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science, or an equivalent background.
• Able to work in a dynamic environment and with tight deadlines.
• Excellent communication skills, with the ability to convey complex data insights to non-technical audiences.
• Self-starter, fast learner, fast worker, results-oriented with a can-do attitude.
• Proficiency in English.
  
  

• Experience with analytics tools, such as Google Analytics.
• Experience building ETL processes – An advantage.
• Experience with Python.