Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Data Analytics Engineer will expand and optimize data and data pipeline architecture, ensuring optimal data flow and collection for cross-functional teams. This role supports data analysts and scientists on data initiatives, ensuring consistent data delivery architecture. The individual will be responsible for supporting business units by recommending solutions for business problems and reporting needs, structuring and analyzing data from multiple sources, and identifying data analytics needs. This role works closely with a multidisciplinary team, contributing to the development of full-stack applications leveraging generative AI and large language models.

Responsibilities

Creates and maintains optimal data pipeline architecture
Assembles large, complex data sets that meet functional / non-functional business requirements
Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Works closely with IT departments to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Combines raw information from different sources to create consistent and machine-readable formats
Develops and tests architectures that enable data extraction and transformation for predictive or prescriptive modeling
Supports the data mining, reporting and general analytics needs of the department
Identifies process gaps and recommend new opportunities for process improvement through the use of quantitative analytics
Applies statistical techniques to interpret risk and develop solutions for business consumption
Leverages understanding of multiple data structures and sources to perform complex data manipulation using advanced data extraction and analytical tools and techniques
Recognizes the connection between the business operations and analytics to influence business strategies through the interpretation and explanation of data to stakeholders
Supports development of innovative approaches and best practices
Performs any other assignments as directed by manager
Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.)
Adheres to Bank policies and procedures and completes required training
Identifies and reports suspicious activity

Requirements

At least 4 years working with data modeling, software implementation, enhanced reporting analytics and/or related experience in financial services data analysis and/or application development
Required hands-on experience with Snowflake, including data modeling, performance optimization, and building and maintaining production data pipelines
Preferred experience with dbt (data build tool) for data transformation, testing, and analytics workflow orchestration
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Skills

SAS
SQL
Adobe Analytics
Tableau
Google Analytics
Python
R
AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue)
Data modeling
Software implementation
Enhanced reporting analytics
Financial services data analysis
Application development
Snowflake
dbt (data build tool)
Root cause analysis
Data visualization
Machine-readable formats
Statistical techniques
Complex data manipulation
Advanced data extraction
Analytical tools
Data analysis
Data wrangling
Data pipeline building
Data flow optimization
Data collection optimization
Data delivery architecture
Generative AI
Large language models
Full-stack applications
Data mining
Quantitative analytics
Risk interpretation
Business strategy influence
Innovative approaches
Best practices

Location

BankUnited's footprint

Experience Level

4+ years

Education Level

Bachelor's Degree in Computer Science, Data Analytics, Data Science, Management Information Systems or a related field