Data Analyst (Azure) at Applaudo Studios

On-site - Rio de Janeiro, Brasil

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This role involves influencing your own development, working with Applaudo Studios in Rio de Janeiro, Brazil. The Data Analyst (Azure) position requires quantitative research, statistical modeling, complex SQL queries, Power BI, Python, and data governance. Responsibilities include understanding business requirements, gathering and preparing data, collaborating with cross-functional teams, implementing data governance, and applying statistical and machine learning techniques to derive insights and predictive models.

Requirements

Education

  • Bachelor’s Degree or higher in Computer Science or Computer Engineering or related field.

Experience

  • 4-5 years' hands-on experience in Report Development and Data Analysis.

Skills

  • Skilled in quantitative research and statistical modeling for delivering insights.
  • Proficient in complex SQL queries and stored procedures with attention to detail.
  • Experienced in Client Relationship Management and multitasking in fast-paced environments.
  • Experience working with Power BI for data visualization and reporting.
  • Familiarity with GitHub and Visual Studios SSIS/SSRS for code management and reporting.
  • Proficient in Python for data manipulation, with knowledge of PowerBI/Qlik.
  • Expertise in entire quantitative research process and statistical methods.
  • Ability to communicate data-driven stories effectively and achieve business outcomes.
  • Understanding of software development best practices and cloud technologies.

Languages

  • English

Responsibilities

  • Understand business requirements, determine relevant Key Performance Indicators (KPI) and prepare visualization reports.
  • Gathering data from various sources like databases, APIs, files, and streams, and ensuring its integration into a suitable format for analysis.
  • Preparing the data for analysis by addressing inconsistencies, errors, and missing values to ensure its quality and reliability.
  • Collaborating with cross-functional teams to understand business requirements and deliver actionable insights.
  • Implementing and maintaining data governance policies and security measures to safeguard sensitive information and ensure compliance with regulations.
  • Employing statistical techniques and machine learning algorithms to analyze data, identify patterns, trends, and insights, and develop predictive models for forecasting.

Technologies

Power BIQlikTableauGitHubVisual Studio SSIS/SSRSPythonAzure

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