Candidate Profile

BT

B****** T*******

Data Analyst – Marketing Analytics

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$65/hour Active
Category Details Claimed Experience Real Experience Evidence from Resume Consistency
Best-Fit Roles Data Analyst, Financial Analyst, Business Intelligence Analyst, Marketing Analyst 6+ years 6 years Professional experience from Jan 2018 to Current Consistent
Primary Role-Based Skills SQL, Python (Pandas, NumPy, Scikit-learn, XGBoost), R, SAS, VBA, Tableau, Power BI, Advanced Excel (Power Query, VBA Macros) 6+ years 6 years Mentioned in SUMMARY and TECHNICAL SKILLS, used in PROFESSIONAL EXPERIENCE Consistent
Primary Role-Based Skills ETL pipeline development, data warehousing, cloud data management (AWS, Azure, GCP) 6+ years 6 years Mentioned in SUMMARY and TECHNICAL SKILLS, used in PROFESSIONAL EXPERIENCE Consistent
Primary Role-Based Skills Forecasting, budgeting, portfolio analysis, credit risk modeling, churn prediction, marketing attribution modeling, ROI analysis 6+ years 6 years Mentioned in SUMMARY and TECHNICAL SKILLS, used in PROFESSIONAL EXPERIENCE Consistent
Secondary Skills Data visualization, dashboard development, KPI reporting, real-time analytics N/A N/A Mentioned in SUMMARY and TECHNICAL SKILLS Consistent
Secondary Skills CRM analytics (Salesforce CRM), web analytics (Google Analytics), A/B testing, customer segmentation, conversion funnel optimization N/A N/A Mentioned in SUMMARY and TECHNICAL SKILLS Consistent
Tools & Platforms AWS (S3, Redshift), Azure (Synapse, Data Factory), GCP (BigQuery), SQL Server, PostgreSQL, Snowflake, BigQuery N/A N/A Mentioned in SUMMARY and TECHNICAL SKILLS, used in PROFESSIONAL EXPERIENCE Consistent
Certifications N/A N/A N/A No certifications mentioned N/A
Availability Open to relocate N/A N/A Mentioned in contact information N/A
Stability 6 years in data analysis roles 6+ years 6 years Professional experience from Jan 2018 to Current Consistent
Leadership Level Team Leadership mentioned in Soft Skills N/A N/A Mentioned in TECHNICAL SKILLS under Soft Skills N/A
Domain Expertise Financial analytics, Marketing analytics 6+ years 6 years Mentioned in SUMMARY and PROFESSIONAL EXPERIENCE Consistent
Claimed experience vs real experience 6+ years claimed, 6 years real 6+ years 6 years Professional experience from Jan 2018 to Current Consistent
Consistency Across Summary, Experience, and Education Consistent N/A N/A Summary, experience, and education align Consistent

Job Compatibility Score

Data Analyst – Marketing Analytics

85%

Candidate Evaluation Summary: B**** T*********

Total Score: 85/100

Key Insights:

  • Strong Fit for Data Analyst Role: B****** has 6+ years of direct experience as a Data Analyst, with demonstrated expertise in SQL, PySpark, Azure, and Databricks—all core requirements for the role.
  • Relevant Domain Experience: His background in marketing analytics (evidenced by Google Analytics, Salesforce CRM, and campaign ROI analysis) aligns well with the JD’s preference for marketing analytics expertise.
  • Tool Proficiency: Hands-on experience with Azure (Synapse, Data Factory), Databricks, and SQL is clearly validated through project examples.
  • Secondary Skills & Certifications: While certifications aren’t mentioned, his Python (Pandas, PySpark), Power BI, and ETL pipeline skills add value.
  • Minor Gaps: No explicit mention of Databricks in recent roles (though Azure Synapse/Data Factory experience suggests overlap).

Candidate Evaluation Table

Category Details from Job Description Claimed Experience Relevant Experience Evidence from Resume Score
Job Titles Data Analyst 6+ years 6 years (current role at Citi) "Data Analyst at Citi Group (2024–Present), R-Financial (2020–2022), 7FinCorp (2018–2020)" 15/15
Primary Role-Based Skills SQL, PySpark, Azure, Databricks SQL: 6+ years, PySpark: 4+ years, Azure: 4+ years SQL: 6 years (Citi, R-Financial), PySpark: 4 years (Citi, R-Financial), Azure: 4 years (Azure Synapse/Data Factory at R-Financial) "Optimized SQL ETL workflows at Citi"; "Automated pipelines using Azure Data Factory at R-Financial"; "Processed data using Spark at Citi" 18/20
Secondary Skills Python (Pandas), Power BI, Marketing Analytics Python: 6+ years, Power BI: 4+ years, Marketing Analytics: 3+ years Python: 6 years (Citi, R-Financial), Power BI: 4 years (Citi, R-Financial), Marketing Analytics: 3 years (Google Analytics, Salesforce CRM at Citi) "Built marketing dashboards in Power BI"; "A/B testing for campaign ROI" 9/10
Tools & Platforms Azure, Databricks Azure: 4+ years, Databricks: Not explicitly claimed Azure: 4 years (Synapse/Data Factory), Databricks: Indirect (Spark at Citi) "Azure Data Factory at R-Financial"; "Spark for large-scale data at Citi" 8/10
Domain Expertise Marketing Analytics 3+ years in marketing analytics 3 years (Citi: Google Analytics, Salesforce CRM) "Marketing attribution dashboards at Citi"; "A/B testing for campaigns" 9/10
Experience Level Mid-Senior (JD implies 5+ years) 6+ years 6 years Current role at Citi (2024), prior roles in analytics (2018–2022) 10/10
Certifications None specified in JD N/A N/A None mentioned 0/5
Consistency Alignment of skills, roles, and education N/A Consistent progression Resume shows steady Data Analyst roles with increasing responsibility and tool mastery. 10/10

Final Notes:

B****** is a highly qualified candidate for this Data Analyst role, with strong technical alignment and domain relevance. Minor deductions were applied for lack of explicit Databricks project mentions (though Spark experience compensates) and no certifications. Recommend advancing to interview for deeper validation of marketing analytics and Databricks specifics.

Suggested Next Steps:

  • Clarify hands-on Databricks experience (e.g., notebook workflows, Delta Lake usage).
  • Discuss marketing analytics projects in detail (e.g., attribution models, KPI collaboration with stakeholders).
  • Explore automation examples (e.g., PySpark scripts vs. low-code Azure tools).

—Senior Recruiter Assessment