Data Analyst & Power BI Developer

at  Leatherback

ABOUT LEATHERBACK

We are Leatherback, and we provide a single access point that empowers individuals and businesses to be truly global. We do this by building best-in-class financial, payment, and commerce solutions that remove barriers to global growth and mobility for all citizens of the world.
If you are cut out to be part of a technology company that enables global finance, payment, commerce, and lifestyle opportunities, this role was specially curated for you.
Job Title: Data Analyst & Power BI Developer

EDUCATION AND EXPERIENCE:

• Bachelor’s degree in computer science, information technology, information systems, or similar.
• Applicable professional qualification, such as Microsoft, Google etc.
• At least three years’ experience in a similar role.
• Extensive experience with Database management business intelligence and reporting.
• Exceptional leadership, organizational, and time management skills.
• Strong analytical and problem-solving skills.
• Excellent interpersonal and communication skills.

• Using automated tools to extract data from primary and secondary sources
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Build robust dashboards using Power BI to provide meaningful insights into the business data.
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Analyzing local, national, and global trends that impact both the organization and the industry
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.