DA DUTIES TECHNICAL DATA ANALYST

Technical/ Functional Skills required:

• Hands on Experience in Process Development, Process Characterization, DOEs, Process Capability Studies, Process FMEAs

• Hands on experience in Tool/ Fixture/ Jigs design

• Hands on experience in Process Validation and Equipment Validation

• Knowledge of good manufacturing practices and documentation, preferably in the medical industry.

• Knowledge in Experiment design and SPC

• Management of statistical procedures.

• Knowledge of computer programs.

• Comprehension of standard costs and work standards.

• Knowledge of productive processes.

• Good oral and written communication in Spanish and English, preferably.

• Experimental Engineering techniques, 80% English.

Roles & Responsibilities:

Under (e.g. limited supervision, general direction, etc.) and in accordance with all applicable federal, state and local laws/regulations and Corporate Johnson & Johnson, procedures and guidelines, this position:

• Identifies, designs and develops the necessary equipment related to new product development.

• Performs material tests.

• Studies the existing processes to implement improvements on new products.

• Responsible for preparing and managing specifications.

• Assists technicians and engineers about unusual problems.

• Responsible for purchasing and designing equipment that meets safety and environment requirements.

• Perform Process Development, Tool Development activities

• Performs activities of process/product/ Equipment validation.

• Can supervise, coordinate and technically revise the work of a limited group of technicians.

• Responsible for ensuring subordinates follow all Company guidelines related to Health, Safety and Environmental practices and that all resources needed to do so are available and in good condition

• Responsible for communicating business related issues or opportunities to next management level

• Responsible for ensuring personal and Company compliance with all Federal, State, local and Company regulations, policies, and procedures

• Performs other duties assigned as needed

Business SME’s, Information Architect, Data Architect, Data Engineer, and to design and develop data solutions to cater business values and end-user experience. Through their work, they will lay foundation of best practices and framework that other business analysts can follow.

The ideal candidate has the drive to understand the business domain, collect requirements/metrics, validate that the completed data solutions meet the requirements, measure and report outcomes. They must be comfortable at elicitation of requirements and benefits tracking amidst ambiguity and able to convey their idea clearly to stakeholders. They should be great communicators and presenters even to high-level executives. Last but not the least, they should share the same passion to make the world a great place to live by providing clean and reliable energy to people.

Key Responsibilities

• Requirements Gathering - Manage requirements elicitation, analysis and documentation processes to capture business and end user needs towards data solutions.

• Prioritization - Prioritize needs within and across projects based on business impact and groom the backlog

• Collaborate with data engineers and scientists -Engage with the data engineers, data scientists and data architects to communicate business vision and priorities

• Benefits & outcomes tracking - Elicit metrics and KPIs to track towards benefits for the data products. Measure and report outcomes towards the metrics and KPIs tracked.

• Validate - Test the data solutions towards the requirements and completeness.

• Collaborate with Stakeholders - Works with peers and business stakeholders to identify the business requirements and expected outcomes. With peer and business stakeholder support, models and frames meaningful and impactful business scenarios for critical business processes and/or decisions.

• Analyze Data - Assists in developing data and analytics products to improve how business is conducted and increases throughput through operational efficiencies. Being able to analyze data to provide inputs to business towards data driven decision making. Shares data quality findings with data stewards and partners with data stewards on data quality definition and standards; .

• Educate - Follow the overall best practices and guidelines in documenting requirements, test scenarios, test cases and metrics tacking. Fill in gaps and suggests improvements as necessary.

Preferred skillsets

• Experience with JIRA for requirements tracking and test scenarios

• Experience with data visualization tools like Tableau for sharing business outcomes

• Experience with agile and lean principles

• Experience with SQL to query data

• Basic understanding of data lake, data warehouses