Data and Analytics Associate

BayOne Solutions • Contract • North Carolina, United States, US • $30 - $33 / hour • 1d ago

Job Title: Data and Analytics Associate

Work Location: On-site at the North Carolina office.

Job Description:

We’re seeking a Master Data & Analytics Lead to design and operationalize a unified data framework that integrates financial, operational, and technical data across multiple systems. This role sits within the Global Value Management (GVM) team—an organization focused on developing proactive, data-driven proposals and value propositions that help customers understand the business impact of our solutions.
You’ll build the analytical foundation that powers GVM engagements, linking data insights to customer performance, opportunity sizing, and value realization. The ideal candidate combines strong data architecture and quantitative
What you’ll do:

Data Model and Architecture:

Define a master data model spanning financial, operational, and technical dimensions, including relationships and dependencies.
Collaborate with Sales Operations to determine the right platform and integration architecture.
Source and align data from multiple systems—Customer, Competitor, GVM Engagements, HGInsights, Marketing Ops (6Sense, Leadspace, Gartner, IDC), AlphaSense, and Snowflake.
Develop a data confidence scoring model (validated, inferred, assumed) and processes for maintenance, expiry, and refresh.

Analytics and Insight Generation:

Build relational data sets linking metrics such as $/TB and FTE/TB.
Produce benchmarks, quartiles, and regression analyses to uncover performance drivers across cost, efficiency, and technical spread.
Design outputs that highlight “best-in-class” performance by vertical or environment (Cloud vs On-Prem).
Create searchable internal indices for GVM use cases (e.g., where similar takeouts or use cases exist).
Deliver insight models that validate assumptions, expose trends, and inform customer recommendations.
Customer and Opportunity Modeling:
Correlate customer data against the master model to assess confidence and identify gaps.
Use analytics to infer likely ranges for missing data and map customers to best-in-class benchmarks.
Load validated data into business case models to inform account planning and opportunity prioritization.

What Success Looks Like:

A reliable, scalable master data framework that informs GVM and customer strategy and serves as a single source of truth.
Automated confidence scoring and refresh processes.
Analytical insights that guide opportunity sizing and customer value realization.
Benchmarking frameworks that inform strategic decisions and account planning.
A foundation for evidence-based, data-driven customer proposals.

Education:

Bachelor’s or master’s degree in Data Science, Statistics, Computer Science, Engineering, Economics or a related quantitative field.

Experience:

3+ years’ experience in data analytics, data modeling or quantitative analysis, ideally in a B2B or enterprise technology environment.
Proficiency in SQL, Python/R, and BI tools (Tableau, Power BI, or similar).
Experience designing data models and pipelines across multi-source systems (CRM, Marketing Ops, Financial Systems).
Strong understanding of data governance, normalization, and confidence scoring techniques.
Proven ability to synthesize large, complex datasets into actionable insights.
Excellent collaboration skills with cross-functional teams including Sales, Finance, and Operations.
Preferred Experience:
Background in enterprise data architecture or quantitative strategy consulting.
Familiarity with Snowflake, Salesforce, and marketing intelligence or industry insights platforms (6Sense, Leadspace, HGInsights, etc).
Experience with regression modeling, clustering, and multivariate analytics.
Understanding of financial modeling, cost analysis, and performance benchmarking.