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Data Analyst

At https://therocketcode.com, we design and develop awesome products with extraordinary code. We are a team of highly skilled product thinkers and programming engineers that plan and execute forming habits products with flawless code.

We help our clients to build amazing products, hassle-free!

We have been around several years now and through our clients, we have helped millions of users to have outstanding digital experiences. From Fintechs, insurtechs, corporates, and private projects we go deep into our client's goals to help them win their markets.

We have diverse projects going on right now, and we are looking for great talent to help us optimize all our efforts. We need someone self-driven, intelligent, creative, and super committed. Are you the one?

Data Analyst Responsibilities:

  • Define configuration specifications and business analysis requirements
  • Perform quality assurance
  • Define reporting and alerting requirements
  • Own and develop relationship with clients, focusing in delivery the best knowledge about the company and its KPI´s using the company data
  • Help design, document and maintain system & data processes
  • Report on common sources of technical issues or questions and make recommendations to the product team.
  • Communicate key insights and findings to product team
  • Constantly be on the lookout for ways to improve monitoring, discover issues and deliver better value to our customers
  • Constantly be on the lookout for new technologies, to deliver the best value to our customers

Requirements

Data Analyst Qualifications / Skills:

  • Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools
  • Basic knowledge in generating process documentation
  • Strong written and verbal communication skills including technical writing skills
  • Proven experience in requirements and testing

Education, Experience:

  • Analysis of data
  • Python/R programming languages
  • Databases experience with Relational and non-relational databases (SQL, Postgresql, Mysql, MongoDb, Firebase, DynamoDB etc)
  • Visualization tools: Tableau, QuickSight, PowerBI or Matplotlib/seaborn in Python
  • Mathematical Statistics: Understand fundamental statistical concepts, probability, distributions, regression and hypothesis testing.
  • Workflow Orchestration Platform (Airflow, Luigi, Apache NiFi or Step Functions)
  • Machine learning
  • Big Data: Familiarity with big data concepts and tools such as Hadoop and Spark desirable.

Benefits

Benefits and work scheme:

  • Home office
  • Flexible hours (We keep active communication through Slack)
  • Contests and other rocket activities
  • Career plan to develop talent and potential

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