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Cslt Process Eng

5.00 to 8.00 Years   Hyderabad   27 Apr, 2020
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaSales / BDGeneral / Other Software
EmploymentTypeFull-time

Job Description

    What you ll be doing.

    Support the design and implementation of customer experience initiatives by translating results from data into actionable insights that help drive business goals and improve operational performance.

    • Provide qualitative and quantitative analytics for various business units and stakeholders throughout the organization to enable educated decision making.
    • Support qualitative analytics through customer journey mapping, call studies, digital path observations and survey verbatim reviews.
    • Provide quantitative analytics and ensure visibility through KPI tracking, reporting support, trend analysis and pre/post implementation analysis.
    • Monitor and analyze key metrics and execute recurring analyses and reporting.
    • Drive internal process consistency using QMS methodology by process mapping and gap identification.
    • Contribute towards external benchmarking and competitive analysis efforts.
    • Coordinate with other team members and internal teams to understand and identify the business problems and deliver the comprehensive analytical solutions.

    What we re looking for.

    Youll need to have:

    • Bachelor s degree or four or more years of work experience.
    • Six or more years of relevant work experience.
    • Experience in data mining, cleaning, analyzing and manipulating data.
    • Analytic experience (Data Analytics - R/SAS) related to work with unstructured data sets.
    • Experience influencing key stakeholders through relationships, expertise and data.

    Even better if you have:

    • A degree in Business, Marketing, Information Systems, Analytics/Business Intelligence, Engineering, Mathematics, Statistics, or in a related field.
    • Experience with Microsoft Excel.
    • Ability to communicate analytical findings in a digestible manner for all audiences.
    • Data analytics and critical thinking skills.
    • Data management, architecture, analysis and agile development experience.
    • Ability to efficiently manage multiple projects with a strict focus on detail.
    • Machine learning and data- mining experience.
    ,

    Keyskills :
    customer journey mappingdata mining key metricsdata analytics trend analysisbusiness units data managementprocess mapping

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