Data Analyst

Data Analyst

Position: Data Analyst – 5+ years of experience in data analysis, preferably supporting Sales, Revenue Operations, or related functions.

Location: NYC (primary) New York City, NY 10001

Start date: 11/3/25

Project duration: 10 weeks

Work from Office: 5 days in a week

Key Responsibilities:

• Data Hygiene and Quality Assurance
• Assess, profile, and cleanse sales and revenue-related data from various sources (CRM, ERP, marketing automation, etc.)
• Establish, monitor, and enforce data quality rules to ensure accuracy, consistency, and completeness of critical datasets.
• Work with business partners to drive upstream improvements in data entry and management.
• Reporting & Analytics Foundation
• Design, build, and automate standardized reporting datasets and dashboards to measure sales performance, pipeline health, forecasting, and revenue trends.
• Lay out and document the architecture for data models and reporting layers; ensure scalability and flexibility for evolving business needs.
• Identify gaps in data flows or reporting logic and proactively resolve root causes.
• Data Integration & Lineage
• Own extraction, transformation, and loading (ETL) of data from multiple systems into a central reporting environment (data warehouse/data lake).
• Develop and maintain data lineage documentation to track where data originates, how it flows, and how it is transformed through each stage.
• Partner with IT and Sales Ops teams to ensure seamless, well-governed data pipelines.
• Data Conformance & Governance
• Define and implement business rules to conform disparate data into unified views (e.g., standardizing customer/account IDs, sales stages, product hierarchies).
• Collaborate on establishing data governance, stewardship roles, and best practices for the Sales organization.
• Drive adoption of data standards and conformance practices across the Sales and RevOps teams.
• Stakeholder Engagement & Enablement
• Translate reporting requirements from Sales, RevOps, and Marketing teams into functional data assets.
• Provide data expertise and consulting to internal partners, delivering ad-hoc analyses and strategic insights.
• Train and empower business users on self-service analytics tools.

Qualifications and Skills:

• Bachelor’s or Master’s degree in Data Science, Information Systems, Business Analytics, or a related field.
• Experience in data analysis, preferably supporting Sales, Revenue Operations, or related functions.
• Strong expertise in data cleansing, integration, and reporting with tools such as SQL, Power BI, Tableau, or equivalent.
• Deep understanding of B2B sales processes and common CRM/sales data management practices.
• Demonstrated ability to document and communicate data lineage, business logic, and governance controls.
• High attention to detail, proactive approach to solving data challenges, and strong cross-functional communication skills.