We are looking to hire a Senior Business Analyst with at least 5+ years of IT experience and strong data science and machine learning experience.
Top Desired Skills: - At least 5+ years of BA or BSA experience
- Extensive experience with Data Science/Analytics/management either in SQL Server or Oracle or Snowflake
- Experience with Large Language Model (LLM), Machine Learning concepts.
- Experience with gathering and writing business requirements
- Experience presenting to executives
Job Summary:
The Senior Business Analyst will work closely with the Data Scientist, LLM Engineers from Operating Companies, Experience Owners, Delivery teams, vendor partners and all Agile working teams to discover and innovate potential valuable solutions that drive strategic business goals and objectives. They will also be responsible for documenting the requirements of any new features for future development for the Allegis AI delivery team. The BA will act as a for Product Owner for the Allegis AI Team.
Essential Job Functions:
Identify and analyze Data Science Experiments and define the scope of LLM Model, Data Pipeline, API's, Reports including requirement definition, process review, impact assessment and operational streamlining where appropriate.
Is involved in all aspects of projects, including documentation of project needs, analysis/research of needs and possible solutions, identifying technology and business solutions, gathering, documenting, and updating business requirements; reviewing workflow process mapping; developing business testing strategies and working with project members to execute the test plan, recommending preferred solutions, and implementing recommendations.
Manages project documentation (implementation plan, issues log, process maps, etc.) and documents process flows and gaps.
Assess, research, analyze and document sponsor/stakeholder Experiments.
Develop and maintain strong relationship with other Data Science Engineers, Architects, and internal/external team members. Identify issues and escalates/manages resolution as required.
Coordinates and provides support to the business with the process implementation. Participate in Sprint Planning, Sprint Reviews, Scrum Meetings, and other agile activities.
Analyze and translate functional and non-functional business requirements into project specifications.
Assist with Product Backlog management and user story development and prioritization.
Work with the other Data Science teams that supports Salesforce.
Will take business prioritization and requirements and partner with our technology team to Features and User Stories to deliver prioritized initiatives.
Work with the Agile team that supports Salesforce.
Will take business prioritization and requirements and partner with our technology team to Features and User Stories to deliver prioritized initiatives.
Ability to take complex business requirements and break them down into actionable user stories for our developers.
Assist Technical and Architecture resources to design feasible solutions leveraging current assets as appropriate and consistent with the broader enterprise direction.
Actively participate in discussions and design sessions regarding platform, data, user access, and systems integration requirements
Ensure that defined solutions include, and address items needed to successfully implement, operationalize, and support those solutions in a fast-paced production environment.
Partner with Technical Teams, Quality Management, and Business to verify solutions solve the business need and function as intended.
Interact with Management to determine System requirements.
Experience in design and develop software systems/applications.
Engage in Implementation of software systems applications.
Minimum Education and/or Experience:
Minimum bachelor's degree, specialization in Engineering, Science or Math is desirable.
Experience in most facets of project lifecycle; proficient comprehension of project management methodologies; genuine commitment to project environment and discipline.
Minimum of 5 years, in Data Science/Analytics/management either in SQL Server or Oracle or Snowflake
2 years of Experience with Large Language Model (LLM), Machine Learning concepts.
Microsoft Excel: For data manipulation, analysis, and visualization.
SQL: To query databases and retrieve relevant data.
Familiarity with Agile project methodology with ability to learn/adapt to new methodologies quickly.
Hands-on experience in designing reporting dashboards or comparable KPIs, including work processes, approval principles, and security controls.
Proficient in Microsoft Word, Excel, PowerPoint, Project, and Visio
Python and R: For more advanced data analysis and statistical modeling- Nice to have.
Tableau: For creating interactive visualizations and automating workflows- Nice to have
Skills and Abilities:
Ability to quickly learn organizational structure, business strategies and processes.
Knowledgeable on business process modeling, process mapping.
Capable of writing clear and well-structured business requirements documents.
Contributes to the development of detailed level process maps, to facilitate requirements gathering, gap analysis and for training use.
Ability to resolve minor conflicts and issues using different tactics to avoid escalation.
Work with team members to understand the needs of the project.
Requires strong verbal and written communication, facilitation, and presentation skills.
Core Competencies:
Build relationships.
Develop people.
Lead change.
Inspire Others.
Think critically.
Communicate clearly.
Create accountability.
Employee Value Proposition (EVP)
Opportunity to work for a $12 billion company that is the global leader in talent solutions, has 500 locations worldwide and serves over 20,000 clients
Opportunity to work with individuals throughout all levels of the organization
Inclusive workforce: a work environment that values every individual for their distinctive skills, experiences, and perspectives
Access to leading edge technology
Allegis Group's Core Values: Character, Competitive Spirit, Relationships and Serving Others
Work Environment
Team Size: 9 members (onshore and offshore). Agile team. Core hours are 9-5pm. Local team members go onsite at least 2 days/week.
Business Drivers/Customer Impact
By using data science, they are striving to provide operating companies with more efficient ways to recruit and sell as well as provide better talent and client experiences.
Why is the position open(provide details)
