分析顾问

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.

The Consultant, Consultative Analytics is responsible for transforming data into actionable insights that support business decision-making. This role focuses on recurring reporting, ad hoc analysis, measurement, dashboard support, data investigation, and the application of AI-enabled tools to improve efficiency and insight generation.

The ideal candidate is naturally curious, enjoys solving problems with data, and is excited about using emerging technologies such as AI to improve how work gets done. They are comfortable working independently on analytics projects while partnering with senior team members to develop business understanding, consulting skills, and stakeholder management capabilities over time.

This is a permanent remote opportunity supporting US-based stakeholders. Candidates should be comfortable working primarily during US business hours and collaborating with global teams.

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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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What you’ll be doing:

• Communicate findings through clear written summaries, presentations, and visualizations that explain what happened, why it happened, and what action should be considered.

• Build business and consulting capability over time by learning how to translate stakeholder questions into analytical approaches, hypotheses, metrics, and recommendations.

• Use AI, automation, and reusable templates or workflows to improve the speed, consistency, and quality of analysis, reporting, documentation, and insight generation.

• Collaborate with cross-functional teams to collect, organize, verify, and document data sources, business logic, assumptions, and reporting requirements.

• Develop and maintain dashboards, reports, scorecards, and visualizations that help stakeholders monitor performance and identify opportunities for improvement.

What you’ll bring to us:

• 1-2 years of relevant professional experience in a data analyst or consultant role; contact center or health care experience is a plus.

• Advanced SQL expertise, including joins, CTEs, window functions, and complex aggregations.

• Experience working with large-scale data platforms such as Databricks, Azure Synapse, or Snowflake.

• Experience with BI and reporting tools such as Power BI or Tableau.

• Comfortable working with ambiguous business questions and independently determining the appropriate analytical approach.

• Actively experiments with emerging AI and automation capabilities to improve efficiency, generate insights, and identify better ways of working.

• Looks beyond the immediate request to identify underlying problems and opportunities.

• Analytic thinker with a proven ability to interpret analytical output and translate data into insights.

• Knowledge of statistical concepts such as significance testing and sampling.

• Demonstrates strong time management skills and can manage competing demands.

• Strong attention to detail.