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5 Feb 2024

Data Analytics Business Partner at Safaricom Kenya

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Job Description

Safaricom is the leading provider of converged communication solutions in Kenya. In addition to providing a broad range of first-class products and services for Telephony, Broadband Internet and Financial services, Safaricom seeks to uplift the welfare of Kenyans through value-added services and support for community projects.

SUMMARY

Reporting to the Data Analytics Business Partner – Customer Experience, the position holder is responsible for data mining, analysis, visualization, and presentation to drive smart and relevant insights for Contact Center, Retail Experience and Digital Channels Tribe.

RESPONSIBILITIES

  • Generate accurate reports as per set timelines.
  • Provide analysis of performance and generate useful insights to drive decision making.
  • Provide and manage efficient feedback mechanisms from users of reports and available MIS Platforms
  • Drive the automation of daily routine reports in section.
  • Sit in Projects to ensure Experience reporting requirements are met before go-live of new Systems, products, processes & services.
  • Follow up on faster resolution of downtimes affecting Experience Reporting and overall Customer Experience
  • Interrogate data to confirm accuracy and completeness from the various data source.
  • Drive efficiency in reporting by periodically improving on data retrieval and storage.
  • Ensure adherence to data governance and privacy regulatory requirement.
  • Liaison with the rest of business to get the necessary data for analytical purposes.
  • Run projects geared towards innovating overall experience reporting sphere.

QUALIFICATIONS

Skills and Core Competencies:

  • Strong SQL skills
  • Experience creating visualizations with tools such as Power BI, Qlik , Tableau, Kibana, Splunk etc.
  • Knowledge of any programming language e.g., Python, R and Java
  • Familiarity with statistical tests and tools including an understanding of mean, median, variance, standard deviation, correlation, regression, and hypothesis testing.
  • Proven analytics skills, including mining, evaluation, and visualization
  • Proven ability to work in a collaborative, team-oriented environment.

Education and Experience:

  • A bachelor’s degree (or equivalent), from a recognized university in Engineering, Mathematics, Statistics, Economics, Computer Science, or any other quantitative field
  • 2 or more years of experience mining data as a data analyst


Method of Application

Submit your CV and Application on Company Website : Click Here

Closing Date : 5 February. 2024





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