TTEC Digital
Insights & Analytics
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst at TTEC Digital. Skills: Data analysis, Data validation, Advanced analytics, SQL. Perform deep data analysis. Develop advanced SQL queries”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years in data analysis, Advanced SQL, Experience with large datasets, Familiarity with data pipelines, Experience with BI/reporting tools, Problem-solving skills, Critical thinking skills, High attention to detail, Data accuracy, Ability to work independently
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Perform deep data analysis
Develop advanced SQL queries
Analyze and validate data outputs
Partner with data engineering teams
Investigate and resolve data discrepancies
Build and support analytical datasets
Perform detailed analysis on large datasets
Conduct root cause analysis
Work across multiple data sources
Develop reusable queries
Support complex ad-hoc analytics
Design and execute data validation checks
Ensure data completeness
Validate business logic and transformation outputs
Identify data anomalies
Work with upstream and downstream teams
Maintain data definitions
Support data lineage understanding
Contribute to data governance standards
Ensure data is audit-ready
How You'll Work.
Team & Collaboration
Technical teams; Data engineering teams; Platform teams; Upstream teams; Downstream teams
Full Job Description
## Description At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive. This role is focused on deep data analysis, data validation, and advanced analytics across enterprise datasets. The position is suited for a highly analytical professional who works extensively with data, builds complex queries, validates outputs, and ensures high-quality, trusted data. The role requires strong technical data skills with an understanding of underlying data platforms and pipelines, but remains focused on analysis rather than engineering. ## What You'll Be Doing Perform deep data analysis across large, complex datasets to uncover trends, anomalies, and insights Develop advanced SQL queries for data extraction, transformation, and validation Analyze and validate data outputs across systems and reports to ensure accuracy Partner with data engineering teams to understand data structures and pipeline logic Investigate and resolve data discrepancies using root cause analysis Build and support analytical datasets and reporting layers for downstream consumption ## Advanced Data Analysis Perform detailed analysis on large datasets to identify trends and business patterns Conduct root cause analysis on data inconsistencies and reporting issues Work across multiple data sources to reconcile and validate information Develop reusable queries and analysis frameworks Support complex ad-hoc analytics and troubleshooting requests ## Data Quality & Validation Design and execute data validation checks (row counts, aggregates, reconciliation) Ensure data completeness, accuracy, and consistency across systems Validate business logic and transformation outputs Identify data anomalies and document findings Work with upstream and downstream teams to resolve data issues ## Data Governance Maintain data definitions, business rules,
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