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, 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

What You'll Bring to the Role:

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

Senior Data Analyst

About this role

What You'll Be Doing

Advanced Data Analysis

Data Quality & Validation

Data Governance

What You'll Bring to the Role:

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