Ss&c
Financial Services
EnterpriseMarketingDataAnalyst–CrossFunctionalInsights&Visualization
“Enterprise Marketing Data Analyst – Cross-Functional Insights & Visualization at Ss&c. Skills: Data Analysis, Data Visualization, Marketing Analytics. Engage with business units. Understand data needs”
Industry & Context.
Translate business challenges; Identify trends; Identify gaps; Identify growth opportunities; Resolve data quality issues; Recommend improvements
What They're Looking For.
Must Have
3–7+ years of experience, data visualization skills, Proficiency in SQL, Experience with CRM, Experience with marketing automation tools, Experience with digital analytics platforms, Ability to translate data, communication skills, storytelling skills, stakeholder-management skills
Nice to Have
Experience in B2B SaaS, Experience in financial services, Experience in technology, Familiarity with attribution models, Familiarity with pipeline analysis, Familiarity with forecasting, Experience with AWS, Experience with Snowflake, Experience with BigQuery, Experience with dbt, Background in statistics, Background in predictive modeling, Background in experimentation
What You'll Do.
Engage with business units
Understand data needs
Understand data processes
Document data landscape
Serve as analytics liaison
Ensure marketing has data
Translate business challenges
Create analytical requirements
Create data solutions
Analyze marketing performance
Identify growth opportunities
Transform complex datasets
Develop insights frameworks
Support campaign optimization
Support funnel performance
Eliminate manual processes
Improve data accuracy
Improve reporting speed
Emphasize dashboard clarity
Emphasize dashboard trust
Emphasize dashboard storytelling
Maintain metrics library
Evolve metrics library
Maintain definition library
Evolve definition library
Maintain reporting models
Evolve reporting models
Identify data quality issues
Resolve data quality issues
Partner on remediation
Contribute to governance frameworks
Ensure consistent KPI definitions
Recommend improvements to data pipelines
Recommend improvements to integrations
Recommend improvements to enrichment processes
How You'll Work.
Team & Collaboration
Cross-Functional Data Partnership; Partner with RevOps; Partner with IT; Partner with Data Engineering
Communication Scope
Storytelling; Stakeholder management; Present findings; Business context; Recommendations
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