Robert Nester

As a detail-oriented and skilled data analyst, I am highly experienced in conducting research and advisory projects with a focus on data analysis and insights generation. With a Bachelor's degree in Economics and a strong background in qualitative and quantitative research, I possess the ability to manage multiple large-scale projects independently. I excel in interpreting research requests, identifying relevant data sources, and providing comprehensive reports to communicate key findings effectively. Proficient in experimental design and utilizing programming languages like R and Python, I am dedicated to delivering high-quality results and contributing to client success.

WORK EXPERIENCE

JOB TITLE

EMPLOYER 

New Muthokinju Paints and Cements Limited.

• Conducted research preparation activities, including comprehensive literature reviews.
• Managed multiple large-scale research and advisory projects independently, ensuring efficient project execution.
• Interpreted, evaluated, and clarified research requests, identifying appropriate data sources and resources.
• Provided customized reports, effectively communicating key findings to stakeholders orally and in writing.
• Acted as a research resource person, addressing inquiries on external and internal research data.
• Collaborated with data and programming teams to source, clean, and structure data for analysis.
• Collaborated with cross-functional teams to gather and analyze transportation data, identifying trends and patterns to optimize logistics operations.
• Created reports and dashboards using data visualization tools (Excel dashboards, powerBI) to provide transportation insights and support strategic decision-making.
• Developed and maintained databases to track shipments, inventory, and customer information, ensuring data accuracy and integrity.
• Conducted data validation to ensure the quality and reliability of data sources.
• Implemented ETL processes to extract, transform, and load data into analytical systems, improving data accessibility and usability.
• Utilized SQL and Excel for data manipulation, cleaning, and analysis, providing actionable insights and recommendations.
• Applied statistical modeling techniques (R, Python) to identify trends, forecast performance, and support business strategy.
• Collaborated with logistics personnel to understand their requirements and designed logistics systems and procedures for accurate data collection and reporting.
• Monitored and maintained logistics systems, ensuring their ongoing performance and availability.
• Supported team members in accessing, understanding, and utilizing data effectively, fostering a data-driven culture within the organization.

BSc. Applied Statistics With IT