Vmware | Jobs | Lead Business Analyst, Global Support | BigDataKB.com | 30-03-22

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    Job Location: Mumbai

     

    Success in the Role: What are the performance outcomes over the first 6-12 months you will work toward completing

    • Within the first 30 days, you will learn the tricks of operations and service delivery trade. Get ramped on the analytics toolset, and the framework on engagement with cross functional leadership and teams.
    • Within 60 days you will build, manage, and deploy data artifacts and develop dashboards that help surface and eventually solve business problems.
    • You will analyze and engage cross domain teams that are impacted, review any historical impact and then make a change.
    • You will work with IT Data Engineering team to help facilitate data ingestion and availability, UAT the work products for data solutions that serves both short term and long term.
    • Quarterly, you will be reviewing the data integrity across IT Solutions, and adoption of reports/dashboards, usability metrics and work with the GS stakeholders to increase adoption.
    • You will work closely with Global Support, IT, EDA, and Finance to gain insights and current state of change needed with data solutions.
    • Over the next 6 months, you will continue to improve dashboards and data solutions for the business stakeholders and assist in articulating the roadmap for prioritization on longer term issues.

    The Work: What type of work will you be doingWhat assignments, requirements, or skills will you be performing on a regular basis

    • Collaborate with leaders across the business and apply business knowledge to analytics project management to successfully deliver and negotiate delivery of work products when needed.
    • Work on enterprise-grade reporting suites such as SAP BOBJ, Tableau and CRM systems (ex: Salesforce, ZenDesk) to build dashboards or validate the source data. Deliver time-series forecasting and other statistical models to predict with a greater efficiency, the growth of support case volume and staffing levels.
    • Leverage your skills knowledge of SQL and/or other Relational Databases, HIVE, Big Data, Python/R to build data artifacts.
    • Apply the knowledge of working with raw data and translating it into meaningful outputs partnering with IT Data Engineering team where concepts of ELT/ETL would come in handy to be impactful.
    • Assess the existing data lakes, document the gaps and work with the teams to maintain the integrity.
    • Identify data solution opportunities and document requirements needed with quantifiable key results that it will bring to the business stakeholders.
    • Work closely with EDA counterparts on driving change and validating AI/ML based solutions that solve complex business problems.
    • Contribute to on-going projects and overall transformation across the company to bring forward the solution for both long term and short term solves.
    • Communicate, track and report business process data gaps and status on ownership.

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