Principal Data Strategist

Fusable

. Support Fusable's Data Transformation function through analysis, standards, and insight for strategic and operational decisions .

Posted 11/2/2026full-timeRemote • United StatesLead💰 $125,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and strategy, focusing on data quality metrics, governance frameworks, and cross-functional collaboration. Proficient in building dashboards and interpreting complex datasets to support strategic decision-making.

Highest-signal resume keywords

Data AnalysisData Quality MetricsSQLPower BIData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisData Quality MetricsDashboard DevelopmentSQLData DocumentationData StandardsAutomation IdentificationData TransformationBusiness Case DevelopmentData Freshness SLAs

Soft Skills

Analytical SkillsClear CommunicationCross-Functional Collaboration

Tools & Technologies

Power BIDAMA-DMBOKReltio

Industry Keywords

SaaSDaaSInformation ServicesAnalyticsMarket Intelligence

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Support Fusable's Data Transformation function through analysis, standards, and insight for strategic and operational decisions
Establish baselines for coverage, freshness, on-time delivery, and data quality across all six Fusable brands
Partner with Core Data Operations on measurement and prioritize data gaps with the Senior Director of Data Transformation
Size sourcing and partnership options by cost and return
Identify and rank automation opportunities across ingestion, curation, and delivery
Build business cases using cost, cycle time, expected gains, and prerequisites
Write requirements for engineering and track results after launch
Turn baselines into dataset freshness and delivery SLAs for each brand
Partner with Sales and Customer Success to communicate SLAs, publish data quality metrics, and create a customer feedback loop
Own data standards, readiness criteria, source specifications, and workflow documentation
Identify processes ready for automation and align Operations, Product, and Engineering
Support governance covering lineage, source-license controls, quality incident logging, and data-use governance

Requirements

What you’ll need

8+ years in data analysis, business analysis, or data strategy
Hands-on experience defining and measuring data quality metrics (accuracy, completeness, freshness, timeliness) in a production data environment
Strong analytical skills
Demonstrated ability to build dashboards and interpret large, complex datasets
SQL
Power BI or similar BI tool preferred
Track record of documenting data standards, definitions, or governance policies and getting cross-functional teams to adopt them
Comfortable working directly with engineering and product to scope and document data requirements
Writes clearly for executives and can turn complex analysis into a short, decision-ready recommendation
Familiarity with governance frameworks such as DAMA-DMBOK or master data management tools such as Reltio preferred
Experience in SaaS, DaaS, information services, analytics, or market intelligence organizations preferred

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) retirement plan
Paid time off
Paid holidays
Life and disability insurance
Flexible work schedules
Generous Paid Time Off
13 Paid Company holiday observances
Remote work opportunities
Casual dress work environment
Physical fitness reimbursement
Discounts on various events, travel, and dining
Additional compensation may include bonuses and equity