Daniel Oriakhi

🌟 Data Consultant at JMAN Group with a proven track record in delivering impactful data engineering and analytics solutions. 

🔍 Expertise: I thrive on transforming challenges into opportunities, leveraging advanced tools such as Power BI, SQL, Pandas, Alteryx, KNIME, and MS Office Suite to create intuitive dashboards and streamline workflows. My approach is grounded in a deep understanding of our users' needs, ensuring each solution not only meets but exceeds expectations.

💡 Professional Ethos: I'm driven by the belief that continuous improvement and innovation are key to both personal and organisational growth. As a lifelong learner, I'm committed to expanding my skill set, particularly in the realm of business analysis, to remain at the forefront of the data analytics field.

• Led a cross-regional team in delivering data insights and infrastructure solutions, leveraging advanced SQL and Power BI for PE portfolio companies.
• Recognised for spearheading JMAN's Power BI dashboard offerings through meticulous stakeholder interviews and facilitating financial investigations as the CFO's & Head of FP&A liaison.
• Secured a £600k project retainer through end-to-end Power BI development, rapidly orchestrating Python-based API integration, and expediting the delivery of a vital finance dashboard that was central to a client's successful strategic exit
• Developed and maintained finance sales board reports for a PE-backed automotive analytics company, uncovering revenue leakages totalling £150k through meticulous analysis, contributing to improved financial visibility
• Facilitated comprehensive financial reporting amidst exit preparations for a technology enterprise, culminating in a lucrative $1.3B deal valuation, a testament to a 30-fold increase over core earnings
• Facilitated a £200k service upsell and enhanced client data maturity through end-to-end Power BI development of a workforce utilisation app for a global professional services firm, from stakeholder workshops to data warehouse construction, using advanced SQL for quality checks
• Optimised poorly maintained ADF pipelines, reducing report refresh times from 4 hours to 30 minutes

Facilitating culture of excellence and continuous learning. Leading SQL training and development