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Engineering Data Analytics Lead Jobs (NOW HIRING)

CFS

Sr. Data Eng. & Analytics Lead

Mishawaka, IN

$90K - $115K/yr

Senior Data Engineer & Analytics Lead Location: South Bend, IN Compensation: $90,000 - $115,000 Overview We are seeking a Senior Data Engineer & Analytics Lead to drive machine learning initiatives ...

Zendesk

Senior Marketing Data & Analytics Lead

$88K - $110K/yr

Lead end-to-end analytics projects, from framing the business question and sourcing the data ... Partner with Marketing Operations, Finance, Sales/Revenue Operations, Data/Engineering, and ...

Zendesk

Senior Marketing Data & Analytics Lead

$88K - $110K/yr

Lead end-to-end analytics projects, from framing the business question and sourcing the data ... Partner with Marketing Operations, Finance, Sales/Revenue Operations, Data/Engineering, and ...

poolside

Member of Engineering (Data & Analytics)

$117K - $140K/yr

... data and analytics needs SKILLS & EXPERIENCE * Strong programming skills in Go, Python, or other ... Ability to lead ambiguous and cross-functional initiatives, building alignment and driving progress

Nourish

Analytics Lead

New York, NY · On-site

As a Data Analytics Lead, you'll own end-to-end analytics within a business function--shaping our ... Build and maintain a robust data foundation: Partner with Engineering to validate and optimize ...

Nourish

Analytics Lead

New York, NY · On-site

As a Data Analytics Lead, you'll own end-to-end analytics within a business function-shaping our ... Build and maintain a robust data foundation: Partner with Engineering to validate and optimize ...

Nourish

Analytics Lead

New York, NY · On-site

As a Data Analytics Lead, you'll own end-to-end analytics within a business function-shaping our ... Build and maintain a robust data foundation: Partner with Engineering to validate and optimize ...

M&T Bank

Engineering Analytics Lead

Buffalo, NY · On-site

Leads the collection, integration, analysis, and predictive modeling of data across the Software ... Define, implement, and govern engineering metrics that measure developer experience, software ...

Directions Research

Analytics Lead

Cincinnati, OH · On-site +1

Serves as the chief data explorer, defining data needs, leading analytic planning and execution, and creating visualizations and findings that fuel the broader narrative. * Client Relationship Lead ...

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Engineering Data Analytics Lead information

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How much do engineering data analytics lead jobs pay per year?

As of Sep 13, 2026, the average yearly pay for engineering data analytics lead in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What does an engineering data analytics lead do?

An Engineering Data Analytics Lead oversees the collection, analysis, and interpretation of data to support engineering projects and decision-making. They manage data analytics teams, develop strategies to leverage data for process improvements, and ensure data quality. Their role bridges the gap between engineering and data science, providing insights that drive efficiency, innovation, and business growth. They also collaborate closely with engineers, stakeholders, and leadership to align data initiatives with organizational goals.

How does an engineering data analytics lead typically collaborate with engineering and business teams to drive data-driven decisions?

As an Engineering Data Analytics Lead, you'll regularly bridge the gap between technical engineering teams and business stakeholders. You’ll translate complex data findings into actionable insights, guide data collection strategies, and ensure analytics align with broader organizational goals. Collaboration often involves leading cross-functional meetings, designing data dashboards for engineers, and advising business leaders on how data can inform project priorities. This role requires strong communication skills, as you'll need to distill technical details for non-technical audiences and foster a culture of data-driven decision-making across departments.

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

To excel as an Engineering Data Analytics Lead, you need expertise in data analysis, statistical modeling, and engineering principles, typically supported by a degree in engineering, mathematics, or a related field. Proficiency with analytics tools such as Python, R, SQL, and data visualization platforms, as well as experience with big data systems like Hadoop or Spark, is crucial. Strong leadership, problem-solving abilities, and clear communication are essential soft skills for guiding teams and translating complex data into actionable insights. These skills enable effective decision-making, drive innovation, and ensure successful data-driven strategies within engineering projects.

What cities are hiring for Engineering Data Analytics Lead jobs?

Cities with the most Engineering Data Analytics Lead job openings:

What states have the most Engineering Data Analytics Lead jobs?

States with the most job openings for Engineering Data Analytics Lead jobs include:

What are popular job titles related to Engineering Data Analytics Lead jobs?

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Infographic showing various Engineering Data Analytics Lead job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.

Sr. Data Eng. & Analytics Lead

Mishawaka, IN

CFS
See more jobs at CFSexternal

$90K - $115K/yr

Full-time

Posted 16 days ago

Job description

Senior Data Engineer & Analytics Lead
Location: South Bend, IN
Compensation: $90,000 - $115,000
Overview

We are seeking a Senior Data Engineer & Analytics Lead to drive machine learning initiatives, build scalable data infrastructure, and partner closely with business and operations leaders to deliver data-driven decisions. This role combines data engineering, advanced analytics, and applied machine learning in a highly visible position with significant ownership and impact.

The ideal candidate has experience building production-ready data and analytics solutions, translating business needs into technical solutions, and leveraging data to support growth, optimization, and operational excellence.

Key Responsibilities
  • Own machine learning, advanced analytics, and data engineering initiatives from concept through production deployment.
  • Build and maintain scalable data infrastructure, pipelines, and reporting solutions that support business growth and operational excellence.
  • Serve as a strategic partner to business and operations teams, translating data into actionable insights and measurable results.
  • Drive automation, predictive analytics, and experimentation efforts to improve decision-making, profitability, and efficiency.
  • Establish best practices around data quality, governance, model monitoring, and overall analytics performance.
  • Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
  • Master's degree preferred.
  • 5+ years of experience in Data Engineering, Analytics Engineering, Data Science, Business Intelligence, or a closely related field.
  • Strong experience with SQL and Python.
  • Experience building and supporting production data pipelines and analytics solutions.
  • Hands-on experience with machine learning model development, deployment, monitoring, and optimization.
  • Strong understanding of data warehousing, dimensional modeling, and database performance tuning.
  • Experience with BI and visualization tools such as Power BI, Tableau, or similar platforms.
  • Excellent communication skills with the ability to work effectively across technical, business, and operational teams.
Preferred Qualifications
  • Experience in eCommerce, retail, marketplace, omnichannel, or digital commerce environments.
  • Experience supporting businesses that sell through both direct-to-consumer websites and third-party marketplaces such as Amazon and Walmart.
  • Experience with cloud platforms such as Azure, AWS, Snowflake, or similar technologies.
  • Familiarity with modern data orchestration and transformation tools such as dbt, Airflow, Prefect, SSIS, or similar.
  • Experience with AI-assisted development tools and modern analytics workflows.
  • Exposure to MLOps, vector databases, recommendation systems, pricing analytics, or predictive modeling.

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