Profile of Vhulisa Nenzhelele

Vhulisa Nenzhelele Senior Data Analyst
10 years experience 0 projects worked South Africa
25.00$ /hr 0$ earned
Microsoft PowerPoint

Skilled Data Analyst with more than 10 years’ work experience. Experienced in identifying efficiencies and problem areas within data streams, while communicating needs for projects. Adept at receiving and monitoring data from multiple data streams, including Access, SQL and Excel data source. Experience in Qlikview, PowerBI, Qlik Sense, Npriting, Local SAP, Teradata and SQL. Generating summary documents for senior management for daily, weekly, monthly and quarterly audits and compliance reporting. Also responsible for documenting and assessing the architecture, design, functionality, and workflow of business processes to ensure that technology standards.

Work History (0)

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Work Experiences

  • Senior Data Analyst

    FNB

    January 2023 - Now

    Develop and implement advanced statistical models and data analysis to
    optimise processes, inform strategic decisions and meets current and future
    business requirements, reduce risk and generate profits. Develop new
    insights into situations and apply innovative solutions to make
    organisational improvements. Create dashboards for insights.
    Stakeholder Collaboration and Communication, by working closely with
    business teams to understand their needs, provide data-driven insights, and
    clearly and concisely communicate findings and recommendations to nontechnical
    audiences.

  • Senior Data Analyst

    ABSA

    January 2014 - December 2021

    Collect and cleaning of data. Compile information from multiple sources,
    including databases, data warehouses, and external data feeds. Making sure
    information is accurate by validating and cleaning the datasets to get rid of
    any incorrect information. Automate data gathering procedures to make the
    process easy.
    Data validation and quality assurance: Conduct data quality checks to
    confirm the correctness and completeness of the data, spot any anomalies or
    discrepancies, work with the owners or stewards of the data to resolve any
    problems, and make sure the data complies with all applicable rules, laws,
    and governance guidelines.
    Data Analysis and Interpretation: Perform data queries, aggregations, and
    calculations on large datasets using statistical analysis techniques. Use tools
    like SQL, Excel , qlikview ,powerbi and teradata to gain insightful
    knowledge. Preferably, use data visualisation tools to present findings in an
    easy-to-understand format.

Education

  • Certificate in Research in Informatics in Practice

    UNISA

    January 2013 - June 2013

  • Higher Certificate in Management Practice

    Henley Business School

    November 2019 - July 2021

  • Diploma in IT Programming

    Rosebank College

    January 2009 - June 2011