How is the Data Scientist different from Analytics?
Analytics focuses on connected marketing performance and reporting; Data Scientist handles deeper custom analysis of raw datasets and analytical questions.
AI data analysis
Analyze spreadsheets, CSV files, analytics exports, and business data to find patterns, build charts, test questions, and produce actionable findings.
Analyze your dataPromarkia's Data Scientist Squad works directly with supplied or connected datasets. It profiles data quality, performs calculations and comparisons, creates visualizations, explains methods and assumptions, and delivers reproducible findings.
Marketing operations, growth, finance, product, and analytics teams with raw data that needs investigation beyond a standard dashboard.
Analytics focuses on connected marketing performance and reporting; Data Scientist handles deeper custom analysis of raw datasets and analytical questions.
Yes. It can inspect and analyze structured files while documenting data-quality issues and methods.
Yes. Visualizations are selected to support the question rather than added decoratively.
Yes. A useful result includes assumptions, transformations, limitations, and enough detail to reproduce or review the analysis.
Unify campaign, website, CRM, spreadsheet, and warehouse data into verified reports, forecasts, anomaly analysis, and next actions.
Build, review, debug, and test the scripts, components, data pipelines, and integrations behind reliable marketing operations.
Monitor competitor positioning, pricing, offers, messaging, channels, and changes to uncover evidence-backed strategic opportunities.