Wipro Technologies
Data Analyst
Wipro Technologies, Minneapolis, Minnesota, United States, 55400
Role Title
Data Analyst
Reports To
Project Manager/ Database Lead
Direct Reports
NA
Indirect Reports
(Upto N-2)
Role Purpose
The purpose of this role is to interpret data and turn it into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
Do
Managing the technical scope of the project in line with the requirements at all stages
Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
Develop record management process and policies
Build and maintain relationships at all levels within the client base and understand their requirements.
Providing sales data, proposals, data insights and account reviews to the client base
Identify areas to increase efficiency and automation of processes
Set up and maintain automated data processes
Identify, evaluate and implement external services and tools to support data validation and cleansing.
Produce and track key performance indicators
Analyze the data sets and provide adequate information
Liaise with internal and external clients to fully understand data content
Design and carry out surveys and analyze survey data as per the customer requirement
Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools
Create data dashboards, graphs and visualization to showcase business performance and provide sector and competitor benchmarking
Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
Develop predictive models and share insights with the clients as per their requirement
Stakeholder Interaction
Internal Stakeholders:
Project Manager/ Database Lead - Regular reporting & updates
External Stakeholders:
Clients - Client engagement, reviews etc
Display
Lists the competencies required to perform this role effectively:
Functional Competencies/ Skill
Leveraging Technology - Knowledge of current and upcoming technology (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization -
Expert
Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk - Expert
Technical knowledge - knowledge of various programming languages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) and tools on data analytics -
Expert
Competency Levels
Foundation
- Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.
Competent
- Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.
Expert
- Applies the competency in all situations and serves as a guide to others as well.
Master
- Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognized 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 customer escalation, data accuracy
#J-18808-Ljbffr
Data Analyst
Reports To
Project Manager/ Database Lead
Direct Reports
NA
Indirect Reports
(Upto N-2)
Role Purpose
The purpose of this role is to interpret data and turn it into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
Do
Managing the technical scope of the project in line with the requirements at all stages
Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
Develop record management process and policies
Build and maintain relationships at all levels within the client base and understand their requirements.
Providing sales data, proposals, data insights and account reviews to the client base
Identify areas to increase efficiency and automation of processes
Set up and maintain automated data processes
Identify, evaluate and implement external services and tools to support data validation and cleansing.
Produce and track key performance indicators
Analyze the data sets and provide adequate information
Liaise with internal and external clients to fully understand data content
Design and carry out surveys and analyze survey data as per the customer requirement
Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools
Create data dashboards, graphs and visualization to showcase business performance and provide sector and competitor benchmarking
Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
Develop predictive models and share insights with the clients as per their requirement
Stakeholder Interaction
Internal Stakeholders:
Project Manager/ Database Lead - Regular reporting & updates
External Stakeholders:
Clients - Client engagement, reviews etc
Display
Lists the competencies required to perform this role effectively:
Functional Competencies/ Skill
Leveraging Technology - Knowledge of current and upcoming technology (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization -
Expert
Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk - Expert
Technical knowledge - knowledge of various programming languages/ software (Python, Microsoft Excel, VBA, Matlab, SQL etc) and tools on data analytics -
Expert
Competency Levels
Foundation
- Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.
Competent
- Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.
Expert
- Applies the competency in all situations and serves as a guide to others as well.
Master
- Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognized 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 customer escalation, data accuracy
#J-18808-Ljbffr