Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
Make business recommendations based on the data that drives better business decisions.
Requirements:
Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
Experience: Over 3 years of experience in data analytics
Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
Experience using Data Science algorithms and methods to solve business problems using R or Python
Excellent capability in SQL to extract data from databases
