PitchMeAI
Wipro

DATA ANALYST L3

Wipro · Pune Division, Maharashtra, India

  • On site
  • Full-time
  • $85,000 / year
  • Pune Division, Maharashtra, India

Job highlights

  • Interpret data into actionable business insights.
  • Develop reports, dashboards, and visualizations.
  • Manage technical project scope and client relationships.
  • Automate data processes and improve efficiency.
  • Analyze complex datasets and build predictive models.

About the role

Data Analyst L3

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.

Key Responsibilities:

1. Managing the technical scope of the project in line with the requirements at all stages:

  • Gather information from various sources (data warehouses, databases, data integration and modeling) and interpret patterns and trends.
  • Develop record management processes and policies.
  • Build and maintain relationships at all levels within the client base and understand their requirements.
  • Provide 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.

2. 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 the customer's business and prepare reports for internal and external audiences using business analytics reporting tools.
  • Create data dashboards, graphs, and visualizations to showcase business performance and also 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.

Performance Metrics:

  • Analyses data sets and provide relevant information to the client.
  • Metrics include: Number of automations done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy.

About Wipro:

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Key skills/competency:

  • Data Analysis
  • Data Visualization
  • Business Intelligence
  • Reporting Tools
  • Data Warehousing
  • Data Modeling
  • Database Management
  • Automation
  • Predictive Modeling
  • Big Data

Skills & topics

  • Data Analyst
  • Data Analysis
  • Big Data
  • Reporting Tools
  • Data Visualization
  • Business Intelligence
  • Data Warehousing
  • Data Modeling
  • Automation
  • Predictive Modeling

How to get hired

  • Tailor your resume: Highlight data analysis, Big Data, and reporting tool experience.
  • Showcase your skills: Quantify achievements in data interpretation and process automation.
  • Prepare for technical questions: Review data warehousing, modeling, and predictive analytics concepts.
  • Understand Wipro's culture: Emphasize adaptability and a drive for reinvention.

Technical preparation

Master SQL for data extraction and manipulation.,Practice building dashboards with tools like Tableau/Power BI.,Study Big Data concepts and relevant technologies.,Review predictive modeling techniques and applications.

Behavioral questions

Describe a complex data problem you solved.,How do you handle ambiguous client requirements?,Share an example of process automation you implemented.,How do you stay updated with data trends?

Frequently asked questions

What kind of data analysis projects can I expect as a Data Analyst L3 at Wipro?
As a Data Analyst L3 at Wipro, you will interpret data to generate insights, create reports, dashboards, and visualizations. You'll manage technical project scopes, build client relationships, and identify opportunities for process automation and efficiency improvements. This includes analyzing complex datasets, developing predictive models, and ensuring data accuracy.
What are the key technologies and tools used by the Data Analyst L3 at Wipro?
The role involves working with various data sources like data warehouses and databases, data integration, and modeling. Experience with business analytics reporting tools for creating dashboards, graphs, and visualizations is crucial. Mandatory skills include Big Data technologies, and proficiency in data validation and cleansing tools is also beneficial.
How important is client interaction for the Data Analyst L3 role at Wipro?
Client interaction is very important. You will build and maintain relationships with clients at all levels, understand their requirements, and provide them with sales data, proposals, data insights, and account reviews. Liaising with clients is also key to fully understanding data content for analysis.
What does Wipro mean by 'reinvent your world' in its company culture for this Data Analyst role?
Wipro's 'reinvent your world' philosophy for this Data Analyst role emphasizes continuous evolution, adaptability, and a drive for self-improvement. It means being inspired by reinvention of your skills, career, and approach to problem-solving, contributing to the constant evolution of the business and industry.
What are the performance metrics for a Data Analyst L3 at Wipro?
Key performance metrics for this role include the number of automations performed, on-time delivery of projects, customer satisfaction (CSAT) scores, ensuring zero customer escalations, and maintaining high data accuracy. The primary goal is to analyze data sets and provide relevant, accurate information to the client.