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

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About Us

TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.

We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.

TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.

Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Data Analyst

Job Description - Senior Data Analyst