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Thursday, January 22, 2015

Monitoring & Evaluation Data Analyst Job

by Unknown  |  at  7:56 AM

  • As a result of the implementation of a new Business Model geared towards enhancing organizational service delivery, our client would like to fill the following position:Monitoring & Evaluation Data Analyst
    (1 Position)
    Ref. HR/M&E DA/2015
    Purpose Statement:
    Reporting to the Performance Management Officer, the M & E Data Analyst will support the Performance Management activities related to supply chain and administrative operations such as customer service, quality assurance, warehousing, distribution, finance and procurement.
    The Analyst will coordinate data collection, compilation, and data quality improvement efforts with the various data owners including deep dives into performance management data sets for the purpose of identifying anomalies and trends in process data.
    She/He will also maintain the metrics data library, supporting leading data audit practices.
    Key Accountabilities
    The position holder will have the following accountabilities:
  • Lead the Data Quality Improvement activities as described in the Performance Management Plan
  • Identify metrics functionality needs for the various software systems to improve the automated collection of metrics data and production of performance reports; collaborate with the ICT Department to implement new functions as they relate to performance management.
  • 3. Perform ad-hoc queries on databases (e.g. WMS, ERP, LMIS) to respond to the various needs of internal and external stakeholders.
  • Support the training of data producers on the numerous tools used for metrics data collection.
  • Execute deep dives on data sets to explain anomalies in performance trends
  • Support the routine maintenance of the Performance Management Plan such as establishing baselines, setting targets, and reporting results.
  • Maintain the metrics data library to prepare for data audits (e. g. such as those required by financing partners.
  • Prepare data sets for the development of Information Products.
  • Build capacity of departments to query, compile, and analyze data to improve detection of “early warning signs” of performance issues.
  • Perform routine data audits and communicate necessary measures for corrective action.
  • Other duties as requested by the Performance Management Officer.Qualifications, Knowledge, Skills and Experience Required
    The ideal candidate should possess the following:
  • Bachelor’s Degree in Business, ICT, analytics, or similar related studies from a recognized institution.
  • Demonstrable computer skills in MS Word, Excel, etc.
  • Ability to query, manipulate, and analyze a diverse array of data sets using SQL, MySQL, MS Access, Excel PivotTables, and/or other tools.
  • Minimum of 3years’ experience in data analysis with preference for experience in a supply chain environment.Desirable Skills and Personal Attributes:
  • Convincing capacity for identifying anomalies and trends in large data sets.
  • Understanding of data audit requirements and the ability to take measures to prepare an organization for data audits.
  • Understanding of business processes and how they convert to quantitative data.
  • Strong driver for data accuracy with an ability to identify causes of and resolve data quality problems.
  • Proactive contribution above and beyond his or her terms of reference in order to meet the organization’s goals and objectives.How to Apply Those interested and who meet the above requirements are invited to apply by quoting the reference number for the position on both the applications letter and the envelope.
    Applications accompanied with a detailed curriculum vitae, copies of certificates and testimonials addressed as below should be received not later than 6th February 2015.
    TS NO 2211
    P.O. Box 49990 – 00100
    Nairobi
    or dropped physically to The Standard Group Ad Centre office on the ground floor of I&M Building, Banda Street opposite Rayan Hotel.
    Our client is an equal opportunity employer
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