Business Analyst - Minneapolis, United States - Saxon Global

Saxon Global Minneapolis, United States

2 weeks ago

Description

This is a 12 month contract with johnson & johnson. 100% remote. All visa - avoid h1b. Linkedin must. Need short write how candidate fits the role.

Business Analyst, Digital Transformation

Job Description

The Business Analyst position is responsible for partnering with business SMEs to identify emerging digital capabilities, products, and solutions to drive overall achievement of digital roadmap and business value generation.

The DTO business analysts will support the Product Owners and business SMEs to gather, analyze, document, and validate the needs of the business owners to deliver the digital solution.

The business analyst will also be responsible for creating data discovery tasks based on business requirements, partnering with the data asset teams to analyze data sets from multiple sources, define data transformations, raise any risks/issues to product owner, and outline ingestion and curation user stories.

Candidates should possess:

Ability to work with both technical and non-technical team members is required.
Strong understanding and working experience utilizing design-thinking best practice s- empathy, requirements definition, ideation, prototyping, and testing to deliver digital products and experiences is required
Knowledge of operational business processes within Supply Chain functions (Planning, Manufacturing, Quality, Procurement, Logistics) is strongly preferred.
Experience working in or with a complex global organization spanning across functions is preferred.

Qualifications

Minimum of a Bachelors' degree is required. Specialization in supply chain with experience in data engineering, data science or advanced analytics fields is strongly preferred.

Previous experience in a Consumer Health environment preferred.
Minimum of 3 years of relevant business systems analysis
Understand the Scrum process
Experience in JIRA required
Strong analytics and reporting skills
Superior communication and collaborative skills required
Proficient in excel and spreadsheets and Microsoft Office applications

Experience, Knowledge, Skills and Abilities:
Strong demonstrated understanding of machine learning methods and applied statistical packages as applied to data analysis within open-source scripting languages (I.e. R, Python) is required
Strong demonstrated understanding of data lifecycle required around data ingestion (ingest data from disparate systems into cloud computing environment), data contextualization (merging large data sets, developing algorithms to merge and clean data); data insights and analytics is required
Demonstrated familiarity with large datasets and understanding of data analysis workflows is required.
Proven communication and influence skills are required.
Working knowledge on Azure Data Bricks
Experience in SLDC and Agile development process required
Familiarity with large datasets and understanding of data analysis workflows is required.
Prior experience in one or more of relevant commercial areas (market research, digital marketing, market mix, commercial effectiveness) strongly preferred
Strong understanding of Statistics as applied to data analysis and experience with statistical packages is preferred.
Experience with data analysis, visualization and workflow software is preferred

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