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Analytics Engineer Jobs in Cleveland, OH (NOW HIRING)

BankUnited

Data Analytics Engineer

Cleveland, OH · On-site +1

$110K - $133K/yr

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 ...

Deloitte

GCP Cloud Analytics Engineer

Cleveland, OH · On-site

$54 - $72.25/hr

GCP Cloud Analytics Engineer Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Data Engineer II, GCP Cloud Analytics, you will help ...

Gardiner

HVAC BUILDING ANALYTICS ENGINEER

Solon, OH · On-site

$60K - $70K/yr

As an Analytics Engineer you will have the opportunity to touch on those areas daily. If this is you, we would love to hear from you! This is full-time opportunity working in the office. Remote work ...

KeyCorp

Quantitative Analytics Associate

Brooklyn, OH · On-site

$80 - $100/hr

Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering ... Can analyze simple issues with low complexity; Can give perspective to the team addressing basic ...

Keybank

Quantitative Analytics Associate

Brooklyn, OH · On-site

$69K - $105K/yr

Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering ... Can analyze simple issues with low complexity; Can give perspective to the team addressing basic ...

Keybank

Quantitative Analytics Associate

Cleveland, OH · On-site

$69K - $105K/yr

Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering ... Can analyze simple issues with low complexity; Can give perspective to the team addressing basic ...

Keybank

Quantitative Analytics Lead Associate

Brooklyn, OH · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering ...

KeyBank

Quantitative Analytics Lead Associate

Brooklyn, OH · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering ...

Keybank

Lead Quantitative Analytics Associate

Brooklyn, OH · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to ... Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Cleveland, OH

Analytics Engineer information

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Cleveland, OH?

The most popular types of Analytics Engineer jobs in Cleveland, OH are:

What are popular job titles related to Analytics Engineer jobs in Cleveland, OH?

For Analytics Engineer jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer jobs in Cleveland, OH look for?

The top searched job categories for Analytics Engineer jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Analytics Engineer jobs?

Cities near Cleveland, OH with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Cleveland, OH as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Analytics Engineer

Cleveland, OH • On-site, Remote

BankUnited
Commercial Banking • 1 - 5K employees
Learn more about BankUnitedexternal

$110K - $133K/yr

Full-time

Re-posted 9 days ago

BankUnited rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

73rd of 176 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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