Data Analyst with 5+ years in data analytics, marketing insights, and automation, skilled in buildin
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Data Analyst with 5+ years of experience in data analytics, marketing insights, and automation. Skilled in analyzing digital engagement data, building interactive dashboards, and applying growth-hacking strategies through experimentation, A/B testing, and automation. Experienced with SQL, Power BI, Metabase, Grafana, Looker Studio, and Google Analytics, with a strong ability to mine, clean, and visualize large datasets. Curious, adaptable, and passionate about leveraging open-source tools and data-driven marketing to optimize campaigns, improve customer journeys, and drive measurable growth.
University of East London
Master of Computer Science · Computer Science
N/A – June 30, 2024
Jomo Kenyatta University
Bachelors in Pure and Applied Mathematics · Pure and Applied Mathematics
N/A – June 30, 2020
Good Power
Data Analytics Consultant
April 1, 2025 – Present
India
Roche Healthcare
Data Analytics Engineer
January 1, 2024 – January 1, 2025
India
Kunumi
Data Scientist
March 1, 2021 – May 1, 2023
India
Omdena
Data scientist Intern
November 1, 2020 – March 1, 2021
India
Cultural Fit Analysis
The candidate's experience spans various companies (Roche Healthcare, Kunumi, Omdena, Good Power) and roles (Data Analytics Engineer, Data Scientist, Data Analytics Consultant), demonstrating adaptability and a broad perspective. The mention of leveraging open-source tools and data-driven marketing aligns with a culture focused on innovation and measurable growth. The diverse project experience, from marketing dashboards to NLP techniques, suggests a versatile individual who can contribute to different facets of a data-driven organization.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with cross-functional teams, risk identification, and aligning technical objectives with business goals, indicating strong operational fit and teamwork skills. Experience in leading development of dashboards and pipelines suggests initiative and project ownership. The description of developing efficient, testable Python code aligns with industry best practices, indicating attention to quality and maintainability.