Data Specialist

Roles and responsibilities

n today’s data-driven landscape, organizations must prioritize their analytics needs to enhance decision-making and drive business performance. Collaborating closely with team members is essential to gain a comprehensive understanding of critical metrics and Key Performance Indicators (KPIs). By maintaining a focused approach to these analytics needs, we can deliver actionable insights that empower relevant decision-makers to make informed choices.

Proactive data analysis is a cornerstone of our strategy. By delving deep into the data, we can address key questions posed by stakeholders, while also identifying what truly drives business performance. This analytical approach allows us to pinpoint specific areas that require improvement, whether in efficiency or productivity. By communicating these insights effectively, we ensure that our findings lead to tangible enhancements in operations and overall performance.

Creating and maintaining rich interactive visualizations is vital for translating complex data into understandable formats. Through effective data interpretation and analysis, we can develop comprehensive reporting components that draw from multiple data sources. These visualizations not only provide clarity but also facilitate quicker decision-making by allowing stakeholders to grasp essential trends and patterns at a glance.

To support these efforts, we must define and implement robust data acquisition and integration logic. Selecting the right combination of methods and tools within our defined technology stack is crucial for ensuring optimal scalability and performance. By leveraging advanced tools and technologies, we can create a seamless integration process that enhances data accessibility and reliability.

Developing and maintaining databases is another critical component of our analytics strategy. By acquiring data from both primary and secondary sources, we can build a rich repository that serves as the foundation for our analytical efforts. Additionally, constructing scripts to streamline our data evaluation process is essential for enhancing flexibility and scalability across various datasets. This adaptability ensures that we can respond to evolving business needs and complexities in a timely manner.

Desired candidate profile

Required Skills And Qualifications

• Three or more years of experience in mining data as a data analyst
• Extensive experience in the Microsoft Power Platform – MS PowerApps, MS Power Automate (Flow), Power BI and Power virtual agents.
• Strong SQL or Excel skills, with aptitude for learning other analytics tools
• Excellent Excel Skills
• Experience in analysis, design development, testing and implementation of enterprise scale apps
• Experience developing new PowerApps model and canvas driven apps as well as enhancing existing apps.
• Understanding PowerApps formulas and development methods.
• Knowledge of Flow licensing and automating business processes with Microsoft Power Automate/ Flow.
• Ability to create business processes and custom connectors for Microsoft Power Automate/ Flow.
• Willing to learn leading edge Microsoft enterprise cloud technologies such as Office 365, Microsoft Azure.
• Experience of SQL and RDBMS technologies is preferable.
• Excellent Excel Skills