Data Analyst (Azure)

About you

You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You bring to Applaudo the following competencies:

• Bachelor’s Degree or higher in Computer Science or Computer Engineering or related field.
• 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.
• 4-5 years' hands-on experience in Report Development and Data Analysis.
• 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.
• Excellent communication skills in English are required to work effectively with our US-based clients.

You will be accountable for the following 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.