Microsoft Data Analyst (ALL LATAM)

LatamRecruit
Full-timeUSD 4,000 - 5,000/month

Client: https://amcmodernit.com/

Position Overview:

We are searching for a detail-oriented Microsoft Data Analyst to join our team. The successful candidate will use various Microsoft technologies to interpret and analyze complex data structures to generate actionable insights and drive our business decisions.

Key Responsibilities:

  1. Utilize Microsoft tools such as Power BI, Excel, and Azure Data services to collect, interpret, and visualize data.

  2. Transform raw data into meaningful reports and dashboards that highlight key performance indicators and trends.

  3. Collaborate with business units to understand data requirements and deliver analytical solutions.

  4. Write SQL queries and work with databases within the Microsoft ecosystem, including Azure SQL Database, to extract relevant data.

  5. Conduct data cleaning and validation to ensure data accuracy, consistency, and reliability.

  6. Implement and maintain ETL processes through Microsoft technologies like Azure Data Factory.

  7. Stay up-to-date with the latest Microsoft analytics tools and industry best practices.

  8. Provide technical support and training to teams on data analysis tools and techniques.

  9. Collaborate on data governance and data quality initiatives.

  10. Participate in special projects as required, collaborating with multiple departments.

Minimum Qualifications:

  1. Bachelor's degree in Data Science, Information Technology, Statistics, or a related field.

  2. Proficiency in Microsoft technologies such as Power BI, Excel, and SQL.

  3. Strong analytical skills with the ability to analyze complex data to identify patterns and trends.

  4. Excellent verbal and written communication skills.

Preferred Qualifications:

  1. Microsoft certification in Data Analysis or related field (e.g., Microsoft Certified: Data Analyst Associate).

  2. 5+ years of experience in a similar role.

  3. Experience with Azure Data services like Azure SQL Database, Azure Data Factory, and Azure Data Lake.

  4. Knowledge of other data visualization tools and platforms.

  5. Familiarity with statistical analysis and data modeling techniques.

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