James Dinda

James Dinda Email and Phone Number

James Dinda's Location
Kenya, Kenya
About James Dinda

James Dinda is a Data Analyst at South Nyanza Sugar Company Ltd (SonySugar). He possess expertise in statistical and computing, spss, statistical data analysis using r, data collection, data filtering and 8 more skills.

James Dinda's Current Company Details
South Nyanza Sugar Company Ltd (SonySugar)

South Nyanza Sugar Company Ltd (Sonysugar)

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Data Analyst
Employees:
335
James Dinda Work Experience Details
  • South Nyanza Sugar Company Ltd (Sonysugar)
    Data Analyst
    South Nyanza Sugar Company Ltd (Sonysugar) Sep 2015 - Present
    -Analyzing the company key performance indicators.-Evaluating corporate performance against the strategic plan.-Analyzing the industry environment and its impact for Sony Sugar Company-Consolidating, processing and summarizing of business data to facilitate analysis for the purpose of preparing reports for use by management in decision.

James Dinda Skills

Statistical And Computing Spss Statistical Data Analysis Using R Data Collection Data Filtering Time Series Modeling Using Tsm Strategic Planning Analytical Skills Research Project Management Key Performance Indicators Regression Analysis Research Proposals

James Dinda Education Details

  • Laikipia University
    Laikipia University
    Second Class(Upper Division)
  • Kanyawanga High School
    Kanyawanga High School

Frequently Asked Questions about James Dinda

What company does James Dinda work for?

James Dinda works for South Nyanza Sugar Company Ltd (Sonysugar)

What is James Dinda's role at the current company?

James Dinda's current role is Data Analyst.

What schools did James Dinda attend?

James Dinda attended Laikipia University, Kanyawanga High School.

What skills is James Dinda known for?

James Dinda has skills like Statistical And Computing, Spss, Statistical Data Analysis Using R, Data Collection, Data Filtering, Time Series Modeling Using Tsm, Strategic Planning, Analytical Skills, Research, Project Management, Key Performance Indicators, Regression Analysis.

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