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Manager Data Analytics Engineer Jobs in Jay, FL (NOW HIRING)

The Elastic Engineer will be a part of a team of Data Analytic Engineers enhancing, maintaining, and sustaining an Elastic, Logstash, and Kibana (ELK) instance with a heavy emphasis on data ...

The Elastic Engineer will be a part of a team of Data Analytic Engineers enhancing, maintaining, and sustaining an Elastic, Logstash, and Kibana (ELK) instance with a heavy emphasis on data ...

Senior Manager, Product & Innovation

Pensacola, FL · Remote

$119K - $157K/yr

Lead, coach, and develop the data and analytics team, including engineering, analytics, and program management talent * Own hiring, performance management, career development, and workload ...

Mission Data System Design Engineer

Eglin, FL · On-site

$91K - $125K/yr

Serves as lead engineer/team manager during major EW System operational test and evaluation ... Experience in providing engineering and analysis in the following activities: developing and ...

Mission Data System Design Engineer

Eglin, FL · On-site

$91K - $125K/yr

Serves as lead engineer/team manager during major EW System operational test and evaluation ... Experience in providing engineering and analysis in the following activities: developing and ...

Showing results 41-60

Manager Data Analytics Engineer information

See Jay, FL salary details

$43.4K

$126.5K

$173.1K

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 Jay, FL is $126,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $134,100.00 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 cities near Jay, FL are hiring for Manager Data Analytics Engineer jobs?

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

Associate Business Intelligence Analyst

System One

Pensacola, FL • Remote

Contractor

Posted 23 days ago


Job description

Job Title: Associate Business Intelligence Analyst Location: Pensacola, FL Work Schedule: hybrid, onsite 3 days a week (2 days remote) Pay Rate: Open to only W2 (no c2c) Position Type: Multiyear Contract We are seeking a mid level Business Intelligence Analyst. Candidates must be able to pass both a credit and criminal background check. LOCAL CANDIDATES PREFERRED. We are able to work with W2 candidates ONLY (no c2c). Candidates must be able to work for any employer and not require any type of sponsorship now or in the future. This role is for a junior-to-mid-level Business Intelligence Analyst with the heaviest emphasis on SQL, dashboarding (Power BI/Tableau), reporting, and business-focused data analysis. This is NOT a senior role. The Associate Business Intelligence Analyst role is an entry-level to early-career analytics position focused on helping business leaders make data-driven decisions. The analyst collects, cleans, analyzes, and visualizes data from multiple sources to identify trends, measure performance, and provide actionable insights. The role involves building reports and dashboards, supporting KPI tracking, conducting root cause analysis, responding to ad hoc reporting requests, and partnering with business stakeholders to translate business needs into reporting solutions. Strong technical skills in SQL, BI tools, data analysis, and communication are essential. We are looking for someone with:
  • Bachelor's degree in Business, Statistics, Data Analytics, Information Systems, Economics, or a related field
  • 1–5 years of professional experience in data analysis, reporting, business intelligence, or analytics
  • Strong SQL and Power BI/Tableau skills
  • Experience creating dashboards and KPI reports
  • Ability to explain data insights to business users
  • Some exposure to Python, ERP/CRM systems, and data governance practices
Description Support business decisions by providing quantitative and qualitative data analysis and reporting of patterns, insights, and trends to leadership via dashboards and reports. Analyze business problems and issues using business intelligence tools that incorporate data from internal and external sources. Entry level professional with developing skill set and a basic understanding of procedures and analysis techniques. Responsibilities
  • Follow standard procedures to create and/or update basic reports and dashboards
  • Identify trends or patterns and help prepare ongoing reports and data visualizations in order to support business decision
  • Contribute to reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems
  • Partner with leaders and senior staff to define specifications for reports and analysis based on business needs and required or available data elements
  • Support and participate in team projects and initiatives
  • Utilize and adhere to data governance documents and procedures; alert supervisors if any inconsistency or inaccuracy is discovered during the course of reporting or analysis
  • Collect, aggregate, and analyze data from multiple sources, including structured and unstructured data sets, to drive insights into business performance
  • Identify, analyze, and interpret trends or patterns and prepare ongoing reports and data visualizations in order to support business decisions
  • Develop, maintain, and manage reports, dashboards, and BI solutions
  • Produce actionable reports that show key performance indicators, identify areas of improvement into current operations, and display root cause analysis of problems
  • Use analytics and metrics to improve processes and provide data-driven forecasts of potential costs, risks, and profits of new business initiatives
  • Provide reporting solutions and respond to ad-hoc report requests within the business area
  • Create specifications for reports and analysis based on business needs and required or available data elements
Qualifications
  • Bachelor's Degree in Business Administration, Statistics, or related field
  • 1-5 years of experience in data analysis and reporting
  • Proficiency in SQL, including query optimization and performance tuning
  • Experience designing scalable dashboards and self-service reporting solutions (Power BI or Tableau)
  • Proven ability to translate ambiguous business problems into clear analytical requirements, success metrics, and reporting solutions
  • Moderate skill using business intelligence applications and/or cloud services
  • Moderate knowledge of reporting capabilities of existing ERP, CRM and/or database software vendors
  • Moderate skill in complex data manipulation across multiple tables
  • Effective data integration, cleaning and validation skills
  • Skill communicating data analysis and visualizations to nontechnical and senior audiences
  • Experience with data analysis tools and programming languages such as Python
  • Research skills
  • Interpersonal skills
Ref: #851-Rockville-S1


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US