job Responsibilities :
Developing detailed solutions to solve business problems.
Input data into the customer data files, making changes to existing data and monitoring the accuracy of all data in files.
Participate the evaluation and deployment of new technologies to add or enhance existing digital technical capabilities.
Participating in addressing business requirements for applications and collaborating with cross-functional teams to deliver solutions that meets business results
Degree Requirement
Computer Science Degree or equivalent experience desired
Skill Descriptors :
Customer Focus: Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and ability to leverage that information in creating customized customer solutions.
Programming Skills:
• Python, AWS GLUE, PySpark
• Good Knowledge of SQL
Level Working Knowledge:
Communicates the importance of customer needs/expectations and commits to resolving them.
Researches and verifies customer needs and expectations.
Solicits customer satisfaction feedback and acts on improvement opportunities.
Helps link organizational objectives to customer needs and expectations.
Meets regularly with customers to understand their wants, needs and expectations.
Data Gathering & Analysis: Knowledge of data gathering and analysis tools, techniques, and processes
ability to collect and synthesize data from a variety of stakeholders and sources in an objective manner to reach a conclusion, goal, or judgment.
Level Basic Understanding:
• Describes alternative data-gathering techniques and tools.
• Documents basic data-gathering methodologies.
• Identifies the purposes of data gathering and analysis.
• Identifies key objectives in gathering and analyzing data.
Data-driven Decision Making:
Knowledge of the data-driven decision-making process and associated tools and techniques; ability to gather and analyze data to make organizational decisions that align with strategic business objectives and goals.
Level Basic Understanding:
• Describes major considerations and issues in the use of data-driven decision making.
• Differentiates Data-driven decision making from traditional decision making.
• Explains characteristics and steps in an effective Data-driven Decision-Making process.
• Identifies key objectives in gathering and analyzing data.
Analytical Thinking
Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Basic Understanding:
• Names specific tools or techniques that can be used to support the analytical thinking process.
• Describes specific software applications or products used for business analytics.
• Gives examples of how analytical thinking has been used to resolve problems.
• Helps others research and learn more about business analytics tools and applications.
Effective Communications :
Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
