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Remote Data Analyst Needed at ShowCase


We are looking for a data analyst to help our client make smart, data-driven business decisions. As a Data Analyst, you’ll be responsible to help build and ensure the data solutions are optimized for speed, reliability, and accuracy. You’ll work with cross-functional teams to identify data requirements and develop innovative solutions to address their needs.


  • Understand the day-to-day issues that our business faces, which can be better understood with data
  • Gathering data through various sources and analytics tools
  • Maintain data quality and accuracy by regularly auditing data and implementing necessary improvements
  • Generating and communicating clear, compelling and actionable insights
  • Maintaining dashboards and reports
  • Ensuring that client facing and internal reporting is done in a timely manner
  • Analyze large datasets and uncover trends, patterns, and insights that can inform decision-making
  • Collaborate with cross-functional teams and stakeholders to implement data-driven solutions
  • Stay up-to-date with industry trends, new technologies, and best practices related to Data Analysis/analytics


  • Minimum 3 years of experience in data analytics
  • Excellent communication and presentation skills in English, both verbally and in writing, at a professional level
  • Strong skills in SQL or any database management, Microsoft Excel (advance level), Python, and/or R programming
  • Familiarity with BI Tools such as: Looker, Looker Studio, Tableau, PowerBI, or Mode
  • Strong analytical and problem-solving skills
  • Ability to work with cross-functional teams and stakeholders
  • Attention to detail and ability to work with large, complex datasets

Good to Have

  • Experience in A / B testing and correlation analysis.
  • Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud Platform.
  • Experience in product analytics using one of these tools : Appsflyer, Clevertap, Amplitude, SnowPlow, Mixpanel or Google Analytics.
  • Experience in designing and building data warehouses, data pipelines, and ETL processes.
  • Familiar with version control

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