Data Analytics Engineer

Description

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank’s Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering, analytics, and business intelligence by transforming complex data into reliable, actionable intelligence and insights for strategic decision‑making across the organization. The ideal candidate combines strong analytical skills with technical expertise in SQL, data modeling, Python pipelines, and visualization tools.

Essential Duties and Responsibilities:

• Collect, clean, and analyze large datasets from multiple sources
• Design and maintain data models, dashboards, and reporting systems
• Develop and optimize SQL queries, ETL processes, and data pipelines
• Collaborate with business stakeholders to understand reporting and analytics needs
• Monitor data quality, integrity, and consistency across systems
• Build automated reports and visualizations using BI tools
• Identify trends, patterns, and opportunities through statistical analysis
• Support decision‑making with data‑driven recommendations
• Work with data engineers and software teams to improve data architecture
• Document data definitions, workflows, and technical processes

Required education and experience:

B achelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field

• 3+ years of experience in business intelligence, analytics engineering, or data engineering
• Advanced SQL skills and experience working with large relational and cloud-based datasets
• Proficiency in Python or another analytics/programming language
• Understanding of data warehousing and data modeling concepts, including dimensional and normalized models
• Experience with BI and visualization tools such as Power BI or Tableau
• Strong analytical, communication, and problem‑solving skills
• Or an equivalent combination of education and experience that provides the required knowledge, skills, and abilities

Preferred education and experience:

MSSQL and Python experience preferred

• Experience with large scale streaming pipelines is a plus
• Snowflake experience is a plus
• Financial Services and Commercial Banking experience is a plus

Additional qualifications:

Proficient in Python and SQL

• Data warehousing and modeling, including dimensional and normalized models
• Must have independent problem‑solving skills and ability to develop solutions to complex analytical/data modeling problems
• Excellent verbal and written communication skills and the ability to interact professionally with a diverse group including executives, managers, and subject matter experts
• Successfully engage in multiple initiatives simultaneously
• Work successfully in a team environment using Agile Scrum methodologies
• Willing to suggest improvements along with offering possible solutions

TAB Bank Offers:

• Onsite Gym
• Tuition Reimbursement
• Paid Holidays
• College Scholarships for Employees and Families
• 401(k)
• Paid Time Off (PTO)
• Employee Assistance Program (EAP)
• I Made the Grade
• Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care

TAB Bank will not sponsor applicants for work visas.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.