New

Enterprise Marketing Data Analyst - Cross-Functional Insights & Visualization

SS&C Technologies, Inc.
parental leave, paid time off, 401(k), stock options
United States, Massachusetts, Boston
Apr 22, 2026
As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Job Title Enterprise Marketing Data Analyst - Cross-Functional Insights & Visualization Locations: Boston, MA, New York, NY \| Hybrid 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. You will transform complex datasets into clear, compelling insights that guide strategy, optimize investment, and elevate executive decision-making. If you're passionate about blending analytics, storytelling, and brand impact to drive growth in a global financial technology leader, this role offers the opportunity to make a visible, lasting impact. Why Join SS&C SS&C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, and operate solutions that help clients manage data, automate processes, and scale their businesses with confidence. You will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments. How You Will Make an Impact Cross-Functional Data Partnership Engage with business unitsto 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 hasaccurate, accessible, and trusted data to support decision-making. Translate business challenges into clear analytical requirements and data solutions. Analytics, Insights & Storytelling Analyze marketing performance across channels, segments, and lifecycle stages toidentifytrends, 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. Data Visualization & Dashboard Development Design and build intuitive, executive-ready dashboards using platforms such as Tableau, Power BI, Looker, or similar. Automate reporting toeliminatemanual processes and improve data accuracy and speed. Ensure dashboards emphasize clarity, trust, and storytelling-not just data display. Maintain and evolve a library of standardized metrics, definitions, and reporting models. Data Quality, Governance & Process Improvement Identifyand resolve data quality issues across systems; partner withRevOps, 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. Required Experience 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.). Proficiencyin 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. What Sets You Apart (preferred qualifications) Experience in B2B SaaS, financial services, technology, or other data-driven environments. Familiarity with attribution models, pipeline analysis, and forecasting. Experience withAWS,Snowflake,BigQuery,dbt, or similar tools. Background instatistics, predictive modeling, or experimentation. Join SS&C, where innovation meets global opportunities. Click here to apply. #LI-MG2 #CA-MG #LI-Hybrid Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity. Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location. 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. In addition, employees in this role may be eligible for consideration on an annual basis for a discretionary bonus and/or equity awards, such as restricted stock units or stock options, based upon individual and business performance at the company's discretion. Applications will be accepted on an ongoing basis until the position is filled. SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.