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Senior Analytics Engineer Jobs in Cut Off, LA (NOW HIRING)

Pwc

Data Engineer - Senior Manager

New Orleans, LA · On-site

$124K - $280K/yr

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

www.exigotechnology.com

Senior Engineer

New Orleans, LA · Hybrid

$100K - $137K/yr

Job Purpose The Senior Systems & Network Engineer provides hands-on technical leadership for the ... root-cause analysis, remediation, documentation, and communication. · Follow established ...

Thompson Engineering

Senior Bridge Engineer

New Orleans, LA · On-site

$95K - $129K/yr

Position Overview Thompson Engineering is seeking a Senior Structural Engineer with specialized ... Perform structural analysis, modeling, and design for a variety of public and private sector ...

Thompson Engineering

Senior Bridge Engineer

New Orleans, LA · On-site

$95K - $129K/yr

Position Overview Thompson Engineering is seeking a Senior Structural Engineer with specialized ... Perform structural analysis, modeling, and design for a variety of public and private sector ...

Thompson Engineering

Senior Bridge Engineer

New Orleans, LA · On-site

$95K - $129K/yr

Position Overview Thompson Engineering is seeking a Senior Structural Engineer with specialized ... Perform structural analysis, modeling, and design for a variety of public and private sector ...

EDG Inc

Sr. Structural Engineer

Metairie, LA · On-site

$92K - $126K/yr

Included functions encompass assessment, analysis, and detailed design of platforms, foundations ... A Senior Engineer may also be required to be the Lead Structural Engineer on a multi-discipline ...

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Senior Analytics Engineer information

See Cut Off, LA salary details

$52.5K

$111.8K

$162K

How much do senior analytics engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior analytics engineer in Cut Off, LA is $111,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $126,700.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What cities near Cut Off, LA are hiring for Senior Analytics Engineer jobs?

Cities near Cut Off, LA with the most Senior Analytics Engineer job openings:

Senior Analytics Engineer jobs near you

Senior Manager Analytics & Decision Systems

Raceland, LA • On-site

Bollinger Shipyards
Ship and Boat Building • 1 - 5K employees

6.5

Company rating: 6.5 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

People enjoy working here

Respectful managers

Learn more about Bollinger Shipyardsexternal

Full-time

Re-posted yesterday

Job description

Job Title: Senior Manager Analytics & Decision Systems
Location: Remote USA
Position Overview: The Senior Manager Analytics & Decision Systems is responsible for establishing enterprise analytics capabilities that enable operational, financial, engineering, and executive decision-making across Bollinger Shipyards. This role leads the strategy, governance, and delivery of enterprise reporting, KPI frameworks, dashboards, and self-service analytics capabilities.
This leader partners closely with IT and business leadership to ensure analytics are aligned to strategic priorities, operational workflows, and enterprise performance management.
Key Responsibilities:
  • Define and lead the enterprise analytics and reporting strategy
  • Establish and standardize enterprise KPI frameworks across Finance, Operations, Engineering, Supply Chain, and Business Development
  • Lead delivery and ongoing enhancement of enterprise executive dashboards and decision-support tools
  • Oversee development of Power BI dashboards, semantic models, and self-service reporting capabilities
  • Ensure consistency, accuracy, and alignment of operational and financial reporting across the enterprise
  • Partner with Data Engineering and Enterprise Architecture teams to ensure reliable, governed, and accessible data
  • Drive adoption of analytics tools and data-driven decision-making practices across the organization
  • Establish reporting governance, dashboard standards, and analytics development methodologies
  • Prioritize analytics initiatives aligned to business value and operational impact
  • Lead and develop analytics engineering and BI resources
  • Partner with business leaders to identify opportunities for operational improvement through analytics and insight generation
  • Monitor analytics adoption, usage, and effectiveness to ensure measurable business value

Qualifications:
• Bachelor's degree in Information Systems, Analytics, Business, Engineering, Computer Science, or related field
• 8+ years of experience in analytics, business intelligence, reporting
• 3+ years of leadership experience
• Proven experience building enterprise analytics programs, KPI frameworks, and reporting capabilities
• Strong experience with Power BI or similar enterprise BI platforms
Skills and Abilities:
• Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments
• Experience implementing self-service analytics programs
• Familiarity with Azure data and analytics technologies
• Experience supporting operational performance management and forecasting initiatives
Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.

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