Data Analytics Business Partner at - Nairobi, Kenya - Safaricom Kenya

    Safaricom Kenya background
    Full time
    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