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  • Posted: Jul 18, 2017
    Deadline: Jul 21, 2017
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    To transform the businesses of our customers profitably and create superior value for our stakeholders, abiding by utmost professionalism.
    Read more about this company

     

    Analytics Support

    Description:

    • Possess 6  to 8 Years working experience in SAS
    • Must have debugging and data analysis skills and problem analysis and solving acumen.
    • Sound knowledge of telecom domain related analytics modeling (e.g. churn prediction, fraud detection etc.) and data mining concept.
    • Exposure in the following areas is a definite advantage: data warehousing, data modeling
    • Good problem solving skills and with ability to think out of the box.
    • Self-motivated, a fast learner and be able to work independently.
    • Willing to work at onsite customer location – prior onsite experience would be an added advantage
    • Work across organization functions and teams to understand and address common reporting concerns through researching
    • Analyze the data within the system to improve data accuracy by identifying problems and working with the necessary group(s) to correct.
    • Provide ongoing training and support to end users on system functionality, data model and adherence.
    • Demonstrate the skills and knowledge to establish and manage timelines, project priorities and handle multiple/concurrent projects.
    • Maintain a sense of accountability and responsibility.
    • Provide BI team with up-to-date and accurate information in regards to BI best practices, trends and developments.
    • Responsible for working with all levels throughout the organization in order to gather and document the organizational BI needs.
    • Research new technology and develop business cases to support business intelligence goals and objectives.
    • Ability to query data comfortably to provide information requested by business users as needed.
    • BI or data analytics experience or data analytics internship experience
    • Understanding of relational databases and the ability to query and analyze large data sets.

    Method of Application

    Interested and qualified candidates should apply using the Apply Now button below.

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