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

TRANSPORT ANALYST

EMPLOYER 

New Muthokinju Paints and Cements Limited.

MAY ,2022 to Current

- 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

Masinde Muliro University of Science & Technology