Job Overview
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Job Description
Role Purpose
The purpose of this Data Analyst role is to interpret data and transform it into actionable information, such as reports, dashboards, and interactive visualizations. This information will be used to identify opportunities for business improvement and influence strategic decisions. The role involves managing the technical scope of projects, gathering data from various sources, developing data management processes, and building client relationships to understand their requirements.
Key Responsibilities
- Gather and interpret data from various sources including data warehouses, databases, and through data integration and modeling to identify patterns and trends.
- Develop and maintain record management processes and policies.
- Build and maintain relationships with clients, understanding their requirements and providing them with sales data, proposals, data insights, and account reviews.
- Identify opportunities for increased efficiency and automation of processes, and set up automated data processes.
- Identify, evaluate, and implement external services and tools to support data validation and cleansing.
- Produce and track key performance indicators (KPIs).
- Analyze data sets and provide adequate information by liaising with internal and external clients to fully understand data content.
- Design and conduct surveys and analyze survey data according to customer requirements.
- Analyze and interpret complex data sets relating to customer businesses and prepare reports for internal and external audiences using business analytics reporting tools.
- Create data dashboards, graphs, and visualizations 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 clients as per their requirements.
Performance Measurement
- No. Of automation done.
- On-Time Delivery.
- CSAT score.
- Zero customer escalations.
- Data accuracy.
Mandatory Skills
- Azure Data Engineering
Experience
- 3-5 Years
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 Interpretation
- Reporting
- Dashboards
- Visualizations
- Azure Data Engineering
- Data Management
- Automation
- Predictive Modeling
- Client Relationship Management
How to Get Hired at Wipro
- Tailor your resume: Highlight your experience with Azure Data Engineering and data analysis tools.
- Showcase your impact: Quantify achievements related to automation, efficiency, and data accuracy in your application.
- Prepare for technical questions: Be ready to discuss your experience with data warehouses, modeling, and Azure services.
- Demonstrate client focus: Emphasize your ability to understand client needs and deliver insightful reports.
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