Fredrick Odondi

Angestellt, Data Analyst, Upwork.com

Fähigkeiten und Kenntnisse

Business Analytics
Data Analysis
Microsoft Power BI
Tableau Software
Data visualisation
Statistics
SQL
Analytics
Reporting
Python
Data Science
MS Office
KPI
Reports
Microsoft Excel
Data Cleaning
English Language
Management
Machine Learning
Leadership
Team work
Positive attitude
Commitment
Analytical skills
International experience
Intercultural competence
Presentation skills

Werdegang

Berufserfahrung von Fredrick Odondi

  • Bis heute 2 Jahre und 7 Monate, seit Jan. 2023

    Data Analyst

    Sendy

    Here are some of my roles as a junior data analyst at Sendy. To perform data cleaning, validation, and transformation using various tools and techniques. To apply statistical methods and machine learning algorithms to analyze data and generate insights. To create dashboards, reports, and visualizations to communicate findings and recommendations to stakeholders. To collaborate with other data analysts, data engineers, and business users to understand data needs and requirements. To learn new skills

  • Bis heute 3 Jahre, seit Aug. 2022

    Data Analyst

    Upwork.com

    Conducted comprehensive data analysis on a large dataset, identifying key trends and patterns that led to a 20% increase in customer retention rates. Developed and implemented data-driven strategies to optimize business operations, resulting in a 15% reduction in operational costs. Created and maintained interactive dashboards using Tableau, providing real-time insights to the management team and enabling data-driven decision-making. Collaborated with cross-functional teams to design and implement

  • Bis heute 3 Jahre und 8 Monate, seit Dez. 2021

    Junior Business Analyst

    Fiverr.com

    Data visualization Developed and implemented interactive dashboards, resulting in a 25% increase in data accessibility and user engagement. Collaborated with cross-functional teams to identify key performance indicators and design visually compelling data visualizations, leading to improved decision-making processes. Conducted comprehensive data analysis and visualization audits, identifying areas of improvement and implementing data quality measures,

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