Enterprise Marketing Data Analyst – Cross-Functional Insights & Visualization

About the role

Join SS&C’s Corporate Marketing team and help shape a globally recognized brand powered by data-driven insight. This role plays a critical part in defining how marketing performance is measured, understood, and communicated across integrated campaigns, digital channels, and corporate initiatives worldwide.

Responsibilities

• Engage with business units to understand their data needs, processes, and KPIs.
• Map and document the data landscape across systems (CRM, MAP, web analytics, advertising platforms, product data, etc.).
• Serve as the primary analytics liaison, ensuring marketing has accurate, accessible, and trusted data to support decision-making.
• Translate business challenges into clear analytical requirements and data solutions.
• Analyze marketing performance across channels, segments, and lifecycle stages to identify trends, gaps, and growth opportunities.
• Transform complex datasets into concise insights that marketing leaders can act on.
• Develop insights frameworks that support campaign optimization, ROI analysis, attribution, funnel performance, and forecasting.
• Present findings with clarity, business context, and recommendations.
• Design and build intuitive, executive-ready dashboards using platforms such as Tableau, Power BI, Looker, or similar.
• Automate reporting to eliminate manual processes and improve data accuracy and speed.
• Maintain and evolve a library of standardized metrics, definitions, and reporting models.
• Identify and resolve data quality issues across systems; partner with RevOps, IT, and Data Engineering on remediation.
• Contribute to governance frameworks, ensuring consistent KPI definitions across the organization.
• Recommend improvements to data pipelines, integrations, and enrichment processes.

Requirements

• 3–7+ years of experience in Marketing Analytics, Marketing Operations, Business Intelligence, or Data Analysis.
• Strong data visualization skills with hands-on experience in BI tools (Tableau, Power BI, Looker, Qlik, Domo, etc.).
• Proficiency in SQL and structured data manipulation.
• Experience with CRM (Salesforce), marketing automation tools (Marketo, HubSpot, Eloqua), and digital analytics platforms (GA4, Adobe Analytics).
• Ability to translate data into clear insights and recommendations for non-technical audiences.
• Strong communication, storytelling, and stakeholder-management skills.

Qualifications

• Experience in B2B SaaS, financial services, technology, or other data-driven environments.
• Familiarity with attribution models, pipeline analysis, and forecasting.
• Experience with AWS, Snowflake, BigQuery, dbt, or similar tools.
• Background in statistics, predictive modeling, or experimentation.

Benefits

• Medical, dental, and vision coverage.
• A 401(k) plan with company match.
• Paid time off, holidays, and parental leave.
• Professional development reimbursement opportunity.

Pay

• New York: The expected base salary for the position is between 110,000 USD to 120,000 USD.
• Massachusetts: The expected base salary for the position is between 110,000 USD to 120,000 USD.

Schedule

• Hybrid