Senior Data Analyst

🕒 June 5

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TTEC Digital

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Customer Experience

TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.

📋 Description

• 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 • 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 • 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 • Maintain data definitions, business rules, and metric consistency • Support data lineage understanding across datasets • Contribute to data governance standards and documentation • Ensure data is audit-ready and aligned with compliance requirements • Promote consistency in metric definitions and reporting logic

🎯 Requirements

• 5+ years in data analysis, analytics, or related roles • Strong experience working with enterprise data environments • Proven track record in data validation, troubleshooting, and analysis • Experience working with technical teams (data engineering, platform teams) • Advanced SQL (joins, CTEs, window functions, complex aggregations) • Experience working with large datasets in platforms like Databricks, Synapse, or Snowflake • Strong understanding of data structures, schemas, and transformations • Familiarity with data pipelines and how data flows across systems • Experience with BI/reporting tools (Power BI, Tableau) • Strong problem-solving and critical thinking skills • High attention to detail and data accuracy • Ability to work independently on complex analytical problems • Experience performing reconciliation and validation across multiple systems