Wipro is hiring for Data Analyst | Apply Now

What you will do

• • Managing the technical scope of the project in line with therequirements at all stages
    1. Gather information from various sources (data warehouses,database, data integration and modelling) and interpret patterns andtrends
    2. Develop record management process and policies
    3. Build and maintain relationships at all levels within the clientbase and understand their requirements.
    4. Providing sales data, proposals, data insights and accountreviews to the client base
    5. Identify areas to increase efficiency and automation ofprocesses
    6. Set up and maintain automated data processes
    7. Identify, evaluate and implement external services and tools tosupport data validation and cleansing.
    8. Produce and track key performance indicators
  • 2. Analyze the data sets and provide adequate information
       1. Liaise with internal and external clients to fully understanddata content
       2. Design and carry out surveys and analyze survey data as per thecustomer requirement
       3. Analyze and interpret complex data sets relating tocustomer’s business and prepare reports for internal and externalaudiences using business analytics reporting tools
       4. Create data dashboards, graphs and visualization to showcasebusiness performance and also provide sector and competitorbenchmarking
       5. Mine and analyze large datasets, draw valid inferences andpresent them successfully to management using a reporting tool
       6. Develop predictive models and share insights with the clients asper their requirement

     

                                             

    Stakeholder Interaction

     

    Stakeholder Type	Stakeholder Identification	Purpose of Interaction
    Internal	Project Manager/ Database Lead	Regular reporting & updates
    External	Clients	Client engagement, reviews etc

     

     

    Display

     

    Lists the competencies required to perform this role effectively:

    • Functional Competencies/ Skill
      • Leveraging Technology – Knowledge of current and upcomingtechnology (automation, tools and systems) to build efficiencies andeffectiveness in own function/ Client organization – Expert
      • Process Excellence – Ability to follow the standards and norms toproduce consistent results, provide effective control and reduction ofrisk – Expert
      • Technical knowledge – knowledge of various programminglanguages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) andtools on data analytics – Expert

     

    Competency Levels
    Foundation	Knowledgeable about the competency requirements. Demonstrates (inparts) frequently with minimal support and guidance.
    Competent	Consistently demonstrates the full range of the competencywithout guidance. Extends the competency to difficult and unknownsituations as well.
    Expert	Applies the competency in all situations and is serves as a guideto others as well.
    Master	Coaches others and builds organizational capability in thecompetency area. Serves as a key resource for that competency and isrecognised within the entire organization.

     

    • Behavioral Competencies
      • Formulation &Prioritization
      • Client centricity
      • Execution Excellence
      • Passion for Results
      • Confidence
      • Business Acumen

     

    Deliver

     

    No.	Performance Parameter	Measure
    1.	Analyses data sets and provide relevant information to the client	No. Of automation done, On-Time Delivery, CSAT score, Zero customerescalation, data accuracy

     

    Data Analysis