Sr. Product Analyst (Data Product / Business & Technical)
At a glance
Senior Data Analysis & BI role at VTS3. New York · contract.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Gather stakeholder input and turn business needs into technical requirements, BRDs and clear product decisions
- Define product logic, workflows and feature priorities using business value and delivery feasibility
- Prepare product records, process flows, customer journey maps and reporting materials for stakeholders
- Build test plans, cases and UAT scripts, then help track defects through resolution
- Coordinate with engineering, data, analytics, UX and product teams from requirements through deployment
What you bring
- At least three years in product analysis, business analysis or data product work
- A bachelor's degree and experience in digital or data-driven environments
- Hands-on use of Salesforce or Power BI reporting, an Agile framework and Azure DevOps, JIRA or a comparable tool
- A track record creating BRDs and process documentation, and supporting software development, testing and UAT
Who this fits
This senior contract role suits someone who can translate between business stakeholders and technical teams while managing competing priorities. It runs for at least six months and is hybrid in New York; candidates must be local to the NYC metro area and attend an on-site interview. You must be legally authorized to work in the US without sponsorship. Utilities experience is preferred.
From the employer
Contract Duration: 6+ months
Engagement Type: Contract | Hybrid
Location: New York, NY
Interview Process: 1st Round Video | 2nd Round On-Site (Mandatory)
Important Notes:
- Local NYC metro candidates only (hybrid/on-site required)
- Utilities experience preferred
- Candidates must meet all required qualifications
- No third-party recruiters or agencies
VTS3 Corp is seeking a Senior Product Analyst to support the design, delivery, and optimization of data-driven products in a complex enterprise environment.
This is not a reporting role. You will act as the bridge between business stakeholders, product teams, and engineering, ensuring that data products are well-defined, scalable, and aligned with business objectives.
You will be the source of truth for requirements, business logic, and product clarity, driving consistency across the entire product lifecycle.
Role Overview:
The Data Product Analyst partners with stakeholders to build, test, enhance, and operate data products that support business and operational needs.
This role requires a professional who can:
- Translate complex business needs into clear, actinable requirements
- Work across technical and non-technical teams
- Drive data product delivery with precision and accountability
Stakeholder Engagement & Requirements:
- Collaborate with stakeholders to gather, analyze and define business and technical requirements
- Lead workshops, interviews, and working sessions to ensure alignment
- Translate requirements into Business Requirements Documents (BRDs)
- Define business logic, workflows, and feature breakdowns
- Prioritize features based on business value and feasibility
- Act as the primary owner of requierments and product clarify
- Create and maintain:
○ Product documentation
○ Process flows
○ Customer jourey maps
Reporting materials - Communicate proress, risks, and dependencies across stakeholders
- Develop:
○ Test plans
○ Test cases
○ UAT scripts - Support defect tracking and resolution
- Ensure delivery meets business expectations and quality standards
- Work closely with:
○ Engineering teams
○ Data and analytics teams
○ UX abd oroduct teams - Support end-to-end product lifecycle from requirements to deployment
- Monitor product performance and user feedback
- Identify opportunities for enhancement for enhancement and optimization
- Stay current with data product best practices and industry trends
This is an hourly position with opportunity for overtime.
**All Candidates Must be Authorized to Legally Work in the US Without Sponsorship**
Mandatory Qualifications: (Please read carefully. They MUST be shown on your resume)
Core Experience:- 3+ years in:
○ Product Analysis
○ Business Analysis
○ Data Prooduct environments - Proven experience working in digital or data-driven environments
- Strong ability to:
○ Translate business requirements into technical requirements
○ Make data-driven decisions
○ Manage multiple priorities in fast-paced environments - Excellent stakeholder management and communication skills
- Experience with:
○ Salesforce and/or Power BI reporting
○ Agile/Scrum frameworks
○ Azure DevOps, JIRA, or similar tools - Strong experience creating:
○ BRDs
○ Process documentation
○ Workflow artifacts - Experience supporting:
○ Software developent
○ Testing and UAT Processes
- Strong problem-solving and analytical thinking
- Ability to break down complex business processes
- Strong facilitation and consensus-building skills
- High attention to detail and accountability
- Experience with:
○ Data visualization tools
○ Data engineerinf concepts
○ C;oud data platforms - Familiarity with:
○ Data governance, privacy, and compliance - Certifications:
○ PMP
○ Scrum/Agile
- Bachelor's degree required
- Master's degree preferred
Why This Role:
- Work on data products that drive real business impact
- High visibility across business and technical teams
- Exposure to enterprise data ecosystems and decision-making frameworks
- Opportunity to influence product strategy and execution
$500 Referral Fee Program
Earn extra cash while helping your friends!
VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash.
The rules are simple:
- The referral must be made by using the "Refer a friend" button on this page
- The person you refer must be placed within 90 days of being referred
- The person you refer must complete 480 billable hours
- Cannot be someone we already have on our team or are currently working with