Solution Data Analyst

Description:

As a Solution Data Analyst at CORAS, your proficiency in Qlik and PowerBI will be central to the role as you harness the capabilities of our Enterprise Decision Management software to extract invaluable insights from intricate datasets. Collaborating with multidisciplinary teams, you will design data models, develop dynamic visualizations, construct data workflows, and build actionable insights and recommendations using the CORAS platform, enabling our clients to make effective and informed decisions.

Responsibilities:

• Collaborate closely with stakeholders to comprehend analytical requirements and mission-critical objectives.
• Leverage your expertise in Qlik and PowerBI to design and implement robust data models and processes that transform raw data into actionable insights within CORAS.
• Conduct in-depth data analysis to uncover trends, patterns, and anomalies in diverse data sets, including public sources.
• Create interactive dashboards, reports, alerts, and other visualizations.
• Present accurate, consistent, and reliable data analysis processes to optimize decision-making.
• Stay informed about industry best practices and emerging trends in data analysis and visualization.
• Troubleshoot data-related challenges with CORAS customers and prospective end users.
• Provide guidance and support to users, helping them maximize the benefits of CORAS.
• Collaborate with the development team to optimize and tailor the CORAS platform to specific client needs.
• Contribute to the evolution of data processes, standards, and methodologies within the CORAS ecosystem.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• Master’s degree is advantageous.
• Proven experience conducting data analysis and utilizing Qlik and PowerBI software.
• Strong proficiency in Qlik and PowerBI, and the ability to effectively adapt these skills to the CORAS platform.
• Solid understanding of data modeling, data transformation, and data governance principles.
• Familiarity with data quality, security, and compliance best practices.
• Proficiency in querying and manipulating organizational data: spreadsheets, pivot tables, SQL, legacy enterprise sources, cloud repositories, etc.
• Experience with data scraping, tagging, NoSQL, taxonomies, OSINT, and publicly available sources is highly advantageous
• Excellent analytical skills with meticulous attention to detail.
• Effective communication skills to convey complex insights to diverse stakeholders.
• Ability to work independently and collaboratively in a dynamic environment.
• Prior experience in mission-critical decision support systems or real-time data analysis is a plus.