Data Analytics Engineer

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:

Bachelor’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

Competencies:

Proficient in Python and SQL

Data warehousing and modeling, including dimensional and normalized models

Tableau or Power BI

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

Gym Reimbursement

College Scholarships for Employees and Families

401(k)

Paid Time Off (PTO)

Employee Assistance Program (EAP)

I Made the Grade

Holiday Club Program

Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care

TAB Bank will not sponsor applicants for work visas.