Data Analyst

At Neostella, we take a customer-centric approach and use cutting-edge technologies to deliver solutions to meet the unique needs of our clients’ business. Our offerings include Neodeluxe Legal Solutions, Work-Relay process and workflow solutions for Salesforce, Robotic Process Automation, and Application Integration.  In order to continue our growth, we are seeking a highly skilled Data Analyst with proficiency in Domo and PowerBI to contribute to our data-driven decision-making processes. The ideal candidate will have a strong analytical mindset, exceptional attention to detail, and the ability to translate complex data into actionable insights. This role will be responsible for extracting, analyzing, and visualizing data from various sources to support key business initiatives and drive strategic decision-making. The growth potential and opportunities here are endless and we want you to be a part of our journey. Curious what your day would look like as a Data Analyst? Check out the details below!​

Key Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and objectives.
• Clean and manipulate data from multiple sources to ensure accuracy and reliability.
• Develop and maintain dashboards, reports, and visualizations using Domo and PowerBI to communicate key insights effectively.
• Conduct in-depth data analysis to identify trends, patterns, and opportunities for improvement.
• Interpret and present findings to stakeholders in a clear and concise manner, making recommendations for action when necessary.
• Stay informed about industry trends and best practices in data analytics and visualization.
• Provide support and training to colleagues on using Domo and PowerBI effectively.

• Proven experience as a Data Analyst, preferably with expertise in Domo and PowerBI.
• Proficiency in SQL for data manipulation and extraction.
• Excellent analytical skills with the ability to translate complex data into actionable insights.
• Experience working with large datasets and conducting quantitative analysis.
• Solid understanding of data visualization principles and best practices.
• Strong communication and presentation skills, with the ability to effectively convey technical information to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.

*All resumes and application answers must be in English