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Manager Data Analytics Engineer Jobs in Miami Beach, FL

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... Performs any other assignments as directed by manager. * Adheres to and complies with applicable ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

... Analytics Engineer Lead. The position is onsite and based in Miami, FL. The position is also not ... The Revenue Management Development and Systems team is responsible for all data, decision tools ...

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

... Analytics Engineer Lead. The position is onsite and based in Miami, FL. The position is also not ... The Revenue Management Development and Systems team is responsible for all data, decision tools ...

... management at scale across the US and UK. About the Role We're looking for an Analytics Engineer to join our Global Data & Analytics team and help build the data models, pipelines, and semantic layer ...

Manager, Data Science

Miami, FL · On-site

$110 - $140/hr

Conducts initial assessments and data analyses to identify and quantify/qualify recommended ... Serves as a business change agent leading process re-engineering activities/project.* Manages the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Conducts initial assessments and data analyses to identify and quantify/qualify recommended ... Serves as a business change agent leading process re-engineering activities/project. * Manages the ...

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Manager Data Analytics Engineer information

See Miami Beach, FL salary details

$43.9K

$128.1K

$175.3K

How much do manager data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for manager data analytics engineer in Miami Beach, FL is $128,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $135,800.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Miami Beach, FL?

The most popular types of Data Analytics Engineer jobs in Miami Beach, FL are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Miami Beach, FL?

For Manager Data Analytics Engineer jobs in Miami Beach, FL, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Miami Beach, FL look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Miami Beach, FL are:

What cities near Miami Beach, FL are hiring for Manager Data Analytics Engineer jobs?

Cities near Miami Beach, FL with the most Manager Data Analytics Engineer job openings:

Data Analytics Engineer

BankUnited

Miami Lakes, FL • On-site

$103K - $124K/yr

Full-time

Re-posted 21 days ago


BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

JOB SUMMARY: The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Analytics Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. This individual will also be responsible for supporting business units across the organization through the utilization of technical and business knowledge to recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling). The Data Analytics Engineer works closely with a multifunctional team of data engineers, data analysts, and AI/ML solutions engineers. As a result, this individual is exposed to bleeding-edge generative AI technology and the latest large language models and will have a hand in helping develop full-stack applications that leverage those technologies.
ESSENTIAL DUTIES AND 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.

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

Experience
  • 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

Knowledge, Skills, and Abilities
  • Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc
  • Ability to multitask, meet deadlines, manage competing demands/multiple projects, maintain a strong sense of urgency and follow through in addressing issues
  • Effective and persuasive presentations (verbal and written) for project teams and business leaders
  • Maintains strong attention to detail in high-pressure situations
  • Solid understanding of data warehouse and dimensional modeling concepts

Additional Information
  • Candidates residing in locations within BankUnited's footprint may be given preference.

Candidates residing in locations within BankUnited's footprint may be given preference.

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