Job Description
Responsibilities
- Develop industry-leading data visualizations based on an understanding of common and more fine-grained data visualization/representation challenges, data problems, and eventually, relating to the use cases of customers.
- Understands the tradeoffs between graphics paradigms and speaking multiple visualization grammars, and how they relate to the data
customer has and that they are trying to represent.
- Lead data-driven decision making with the team about which languages, frameworks, and libraries they should use to visualize customer data that is best matched to the twin challenges of exploratory data analysis and analytic presentation.
- Understand business requirements in BI context and design data models to transform raw data into meaningful insights using sound conceptual knowledge in Business Intelligence, DWH (star/snowflake etc.,)
- Identify key performance indicators (KPIs) with clear objectives and consistently monitor those
- Redefine and make technical/strategic changes to enhance existing Business Intelligence systems
- Passion for developing innovative visualizations
- Excellent interpersonal skills to build network with variety of department across business to understand data and deliver business value and may interface and communicate with program teams, management and stakeholders as required to deliver small to medium-sized projects
- Articulate the story behind the data
The Role offers
- Great opportunities to learn various tools and technologies used in a sophisticated data architecture within the Business Intelligence and Analytics Data Services
- Gives an opportunity to showcase candidates’ strong analytical skills and problem-solving ability
- An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations
Essential Skills
- 4+ years’ experience with one or more visualizations tools such as Power BI, Cognos, Tableau, Qlik, SSRS etc
- Working experience in Multi-dimensional analysis cubes e. G., SSAS cubes, Cognos Transformer cubes
- Strong expertise in SQL.
Essential Qualification
- BE/BTech in Computer Science, Engineering or relevant field