Analytics Engineer

Who We Are:
unifyCX is an emerging Global Business Process Outsourcing company with a strong presence in the U.S., Colombia, Dominican Republic, India, Jamaica, Honduras, and the Philippines. We provide personalized contact centers, business processing, and technology outsourcing solutions to clients worldwide. In nearly two decades, unifyCX has grown from a small team to a global organization with staff members all over the world dedicated to supporting our international clientele.

At unifyCX, we leverage advanced AI technologies to elevate the customer experience (CX) and drive operational efficiency for our clients. Our commitment to innovation positions us as a trusted partner, enabling businesses across industries to meet the evolving demands of a global market with agility and precision. unifyCX is a certified minority-owned business and an EOE employer who welcomes diversity.

UnifyCX is a transformative AI platform that empowers and enables teams to deliver efficient, exceptional customer experiences. We engineer superhuman customer experiences through a powerful blend of strategy, omnichannel support, analytics, and AI-driven tools like GoTalent.AI, Voice of Customer, and automatic QA. Our outcome-based model prioritizes measurable results for more than 200 client programs serviced today. With a focus on automation, talent enablement, strategic partnerships, and strict data ethics, UnifyCX delivers scalable, personalized, and compliant solutions that create real business impact.

Job Summary:
As an Analytics Engineer, you will bridge the gap between data analysis and data engineering. You will be responsible for transforming raw data into clean, reliable data sets, building robust data models, and enabling data analysts and other stakeholders to extract meaningful insights. Your work will directly impact decision-making processes across the organization.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ELT processes to transform raw data into usable formats.
• Build and optimize data models for analytical and operational use cases.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data needs and deliver high-quality, reliable data solutions.
• Ensure data quality and integrity by implementing best practices for data validation, testing, and documentation.
• Develop and maintain data infrastructure and tooling to support analytics workflows.
• Monitor and troubleshoot data pipelines to ensure smooth operation and timely delivery of data.
• Implement and enforce data governance and security measures.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. A Master's degree is a plus.
• Proven experience as an Analytics Engineer, Data Engineer, or a similar role.
• Strong proficiency in SQL and experience with data modeling and schema design, such as star and snowflake.
• Experience with ELT tools and data pipeline frameworks (e.g., Apache Airflow, dbt, Fivetran).
• Proficiency in programming languages such as Python or R.
• Familiarity with cloud data warehousing solutions (e.g., Snowflake, Big Query, Redshift).
• Knowledge of data visualization tools (e.g., Tableau, Looker, Power BI) is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Skills:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of machine learning concepts and tools.
• Familiarity with data governance and compliance standards.
• Ability to work in an agile environment.