AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. As a Data Analyst, you will be an integral member of our Data & Analytics team responsible for design and development of pipelines using cutting edge technologies.
Key Responsibilities:
- Proficiency in Tableau for creating data visualizations, designing dashboards, and implementing data connections.
- Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs.
- Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications.
- Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization.
- Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured.
- Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs.
- Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated.
- Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage.
- Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices in data modeling and database design. Apply new knowledge to improve existing processes.
- Develop, manage, execute, and refresh highly complex Tableau dashboards, making them accessible to business stakeholders.
- Should be able to clearly articulate end-to-end data pipelines with analysis and accomplishment.
- Carry out impromptu data analysis using Python, SQL, and basic AWS cloud skills.
- Must possess a fundamental understanding of AWS cloud, Python, and SQL to conduct necessary data analysis
- Expected to collaboratively work with fellow data analysts as a team and handle dashboards that are crucial for business stakeholders
- Must be competent in dealing with uncertainty and capable of devising KPIs and reports that meet industry standards.
Qualifications:
- 6-9 years of Tableau experience
- Knowledge of database management systems SQL
- Experience in data analysis.
- Hands-on Experience in Python
- Excellent problem-solving and analytical skills.
- Identifies opportunities to use advanced analytics
- Advanced experience with tools and services , JIRA Collibra Bitbucket/GITHUB Jupyter Notebooks
- Understanding of Financial Services Industry- IMRE (preferred)
Primary Skills:
- Tableau
- SQL
- Python
- AWS understanding