Senior Data & Business Intelligence Associate

Jobtailor; New York (NY); On-site; USD 140,000 - 170,000; Full time

Job summary

Jobtailor is seeking a data product leader to define the marketing data platform vision and roadmap, aligning data work with marketing goals and business outcomes. You will drive governance, measurement frameworks, and scalable data pipelines with analytics and engineering teams.

Collaborating on Tableau, Power BI, and Looker implementations, you will translate business needs into technical specs and ensure data quality and stakeholder alignment across the organization.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, Marketing Analytics, or a related field.
• 3+ years of experience in data engineering, analytics engineering, marketing analytics, data product management, or a related discipline.
• Experience translating business requirements into technical solutions.
• Advanced SQL skills.
• Experience with cloud data platforms (GCP, Azure, AWS, Snowflake) and data modeling.
• Knowledge of ETL/ELT pipelines and data integration.
• Familiarity with BI tools (Tableau, Power BI, Looker).
• Strong communication and stakeholder management skills.
• Ability to translate complex technical concepts into business terms.

Responsibilities

• Define and maintain the vision, roadmap, and priorities for marketing data products.
• Align data initiatives with marketing objectives, customer experience strategies, and business outcomes.
• Support integration of marketing data components into the shared data platform.
• Develop success metrics and measure business value delivered by data products.
• Partner with data engineering to design and build scalable data pipelines and data models.
• Translate marketing and analytics requirements into technical specifications and user stories.
• Support the buildout and maintenance of the enterprise marketing data platform and data infrastructure.
• Define reporting requirements, KPIs, and measurement frameworks with stakeholders and BI developers.

Skills

Advanced SQL

Cloud data platforms

ETL/ELT pipelines

Data modeling

Data governance

Stakeholder management

Communication skills

Marketing analytics

Python

Education

Bachelor's degree in Data Science or related field

Tools

Tableau

Power BI

Looker

Google Cloud Platform

Azure

AWS

Snowflake

Jira

Azure DevOps

Job description

• Define and maintain the vision, roadmap, and priorities for marketing data products


• Align data initiatives with marketing objectives, customer experience strategies, and business outcomes


• Support integration of Consumer, Commercial, Digital, and B2B marketing data components into the shared data platform


• Identify opportunities to improve campaign effectiveness, customer targeting, attribution, and measurement


• Develop success metrics and measure business value delivered by data products


• Partner with data engineering teams to design and build scalable data pipelines and data models


• Translate marketing and analytics requirements into technical specifications and user stories


• Participate in architecture reviews and solution design discussions


• Support the buildout, expansion, and ongoing maintenance of the enterprise marketing data platform and related data infrastructure


• Validate source-to-target mappings and data transformation logic


• Design and maintain reporting-ready data products for dashboards, scorecards, and executive reporting


• Define reporting requirements, KPIs, and measurement frameworks with stakeholders and BI developers


• Create and maintain semantic layers, reporting views, and curated data marts


• Support development of Tableau, Power BI, Looker, and other reporting solutions


• Establish data definitions, metadata, lineage, and business rules


• Implement data quality standards, monitoring processes, and issue remediation practices


• Ensure compliance with privacy, regulatory, and risk management requirements


• Support enterprise data governance initiatives and stewardship activities


• Standardize business metrics and calculations across dashboards


• Enable self-service reporting and dashboard development through trusted data products


• Support customer segmentation, campaign measurement, attribution, and journey analytics


• Partner with Data Science teams on AI, machine learning, and predictive analytics initiatives


• Manage and prioritize product backlogs and enhancement requests


• Facilitate collaboration among Marketing, Analytics, Technology, Data Governance, and Operations teams


• Communicate roadmap progress, risks, and dependencies to stakeholders


• Drive adoption and education of marketing data products across the organization

Requirements

• Bachelor's degree in Data Science, Computer Science, Information Systems, Business Analytics, Marketing Analytics, or a related field


• 3+ years of experience in data engineering, analytics engineering, marketing analytics, data product management, or a related discipline


• Experience working with both business stakeholders and technical development teams


• Experience supporting enterprise-scale data platforms and marketing data ecosystems


• Experience translating business requirements into technical solutions


• Advanced SQL skills


• Experience with cloud data platforms such as Google Cloud Platform, Azure, AWS, Snowflake, or equivalent


• Knowledge of ETL/ELT pipelines, data integration, and data modeling


• Working knowledge of Python or similar programming languages


• Familiarity with Tableau, Power BI, Looker, or other BI tools


• Experience with Agile delivery methodologies and tools such as Jira or Azure DevOps


• Understanding of customer data, campaign measurement, and marketing attribution


• Knowledge of customer segmentation and customer journey analytics


• Ability to define business requirements and success metrics


• Strong communication and stakeholder management skills


• Ability to explain complex technical concepts in business terms


• This position is NOT eligible for employment visa sponsorship for non-U.S. citizens

Core Competencies

Demonstrates expertise in managing marketing data products, aligning data initiatives with business objectives, and supporting enterprise-scale data platforms. Proficient in translating business requirements into technical specifications while ensuring data quality and compliance.

Highest-signal resume keywords

• Advanced SQL Skills


• Experience With Cloud Data Platforms


• Knowledge Of ETL/ELT Pipelines


• Familiarity With BI Tools


• Experience In Data Product Management

Hard Skills

• Data Engineering


• Analytics Engineering


• Marketing Analytics


• Data Product Management


• Data Modeling


• Customer Segmentation


• Campaign Measurement


• Attribution


• Success Metrics Definition


• Data Quality Standards

Soft Skills

• Strong Communication Skills


• Stakeholder Management


• Ability To Explain Technical Concepts

Industry Keywords

• Data Governance


• Data Integration


• Customer Experience Strategies


• Business Outcomes


• Privacy Compliance


• Risk Management

Tools & Technologies

• Tableau


• Power BI


• Looker


• Google Cloud Platform


• Azure


• AWS


• Snowflake


• Jira


• Azure DevOps