Homeoffice Business Data Analyst

Are you looking for challenges and a place where you can find a close working environment while constantly learning?

We are a company with a clear purpose: "To TRANSFORM people’s lives being the most trusted TECHNOLOGY partner".

Get ready and be part of this adventure!

What will you find?

• Professional and personal challenges.
• A team connected to growth.
• A team where your physical and mental well-being is important.
• A culture of continuous improvement, fresh and collaborative where you can find an opportunity and people willing to support you.
• Our KaizenHub program where you can grow and develop your talents, where it will be a challenge and a game, accompanied by constant feedback from your leaders, mentoring, and coaching by Sofka U. Bring out your best potential!
• Programs aimed at empowering your competencies, living daily continuous improvement, and promoting your physical and emotional well-being. They are called Happy Kaizen and WeSofka, where you will have different benefits that you will acquire over time, such as health policies for you, your family and pets, potentiate your second language (English), savings with purpose, gym, and more.
  
  

What are we looking for?

We are seeking a talented and experienced Business Data Analyst to join our team and contribute to our data-driven decision-making processes.

As a Business Data Analyst, you will be responsible for managing business data, creating insightful reports, and supporting decision-making processes. You will leverage your technical expertise and analytical skills to extract, consolidate, and analyze data to deliver valuable insights that drive business growth.

Responsibilities:

• Data Management:
• Extract and consolidate data from various sources.
• Maintain data integrity and ensure the accuracy of data sets.
• Develop and maintain data pipelines to automate data processing.
• Reporting and Analytics:
• Create and maintain dashboards and reports using Power Apps, Power BI, and other reporting tools.
• Perform data analysis to generate actionable insights and support business decision-making.
• Provide ad-hoc data queries and reporting as requested by stakeholders.
• Power Apps Development:
• Develop and maintain Power Apps to streamline business processes and improve data accessibility.
• Work with stakeholders to understand their requirements and design user-friendly applications.
• Project Tracking and Management:
• Track and report the progress of data projects using project management tools (e.g., JIRA, Trello).
• Coordinate with cross-functional teams to ensure timely delivery of data projects.
• Maintain project documentation and ensure all project deliverables are met.
• Stakeholder Collaboration:
• Liaise with various departments to understand their data needs and provide customized solutions.
• Communicate effectively with stakeholders to present data findings and recommendations.
• Train and support business users on data tools and best practices.
  

Qualifications:

• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Administration, or related field.
• 2+ years of experience in data analysis, business intelligence, or a related field.
• Proficiency in SQL and experience with data querying.
• Strong experience with Power BI or similar BI tools.
• Experience with Microsoft Power Apps development.
• Knowledge of ETL processes and tools.
• Familiarity with project management tools (e.g., JIRA, Trello).
• Strong analytical skills with the ability to interpret complex data sets.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.
• At least a B2 level in English.
• Ability to work collaboratively in a team environment.
• Strong organizational and time management skills.
  
  

Preferred Qualifications:

• Certification in data analysis or business intelligence (e.g., Microsoft Certified: Data Analyst Associate).
• Knowledge of statistical analysis.
  
  

Key Performance Indicators:

• Accuracy and timeliness of data reports and dashboards.
• User satisfaction with Power Apps and data tools.
• Efficiency and effectiveness of data processing and ETL pipelines.
• Successful completion of data projects within deadlines.
• Stakeholder feedback and collaboration effectiveness.