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Software Engineer Data Analyst Jobs in Brazil, IN

Metals & Additives LLC

Process Engineer

Brazil, IN · On-site

The Process Engineer plays a key role in optimizing, troubleshooting, and improving manufacturing ... analysis, or data visualization tools. * Familiarity with process safety management (PSM), hazard ...

ADVICS

Quality Engineer

Terre Haute, IN · On-site

$68K - $88K/yr

Job Purpose The Quality Engineer is responsible for ensuring the highest quality standards in the ... Ability to analyze and collect data, understand underlying issues, recommend, and communicate ...

Metals & Additives LLC

Senior Process Engineer

Brazil, IN · On-site

$95K - $123K/yr

The Senior Process Engineer plays a key role in optimizing, troubleshooting, and improving ... analysis, or data visualization tools. * Familiarity with process safety management (PSM), hazard ...

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Showing results 41-60

All JobsSoftware Engineer Data Analyst JobsSoftware Engineer Data Analyst Jobs in Brazil, IN

Software Engineer Data Analyst information

See Brazil, IN salary details

$40.9K

$119.1K

$163K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in Brazil, IN is $119,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $126,200.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

What cities near Brazil, IN are hiring for Software Engineer Data Analyst jobs?

Cities near Brazil, IN with the most Software Engineer Data Analyst job openings:

Software Engineer Data Analyst jobs near you
Infographic showing various Software Engineer Data Analyst job openings in Brazil, IN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,096 per year, or $57.3 per hour.

Process Engineer

Metals & Additives LLC

Brazil, IN • On-site

Full-time

Re-posted 15 days ago

Job description

Position Overview:

The Process Engineer plays a key role in optimizing, troubleshooting, and improving manufacturing operations within a chemical production environment. This role focuses on enhancing process efficiency, ensuring product quality, supporting safe operations, and driving continuous improvement initiatives across the plant.

Key Responsibilities:
  • Lead process improvement initiatives to increase throughput, reduce waste, improve yield, and enhance overall operational efficiency.
  • Analyze chemical manufacturing processes using datadriven methods to identify bottlenecks, variability, and opportunities for optimization.
  • Develop and maintain process documentation, including P&IDs, SOPs, process flow diagrams, and operating parameters.
  • Support daily plant operations, providing technical expertise to production teams and troubleshooting process issues in real time.
  • Conduct root cause analyses for process deviations, equipment failures, and quality concerns, implementing corrective and preventive actions.
  • Drive continuous improvement projects using Lean, Six Sigma, or similar methodologies.
  • Ensure compliance with safety, environmental, and regulatory standards, including OSHA, EPA, and internal company policies.
  • Collaborate with crossfunctional teams such as maintenance, quality, R&D, and EHS to support new product introductions and process changes.
  • Monitor key process metrics, develop dashboards, and recommend adjustments to maintain stable and efficient operations.
  • Evaluate and implement new technologies, equipment upgrades, and automation solutions to modernize plant capabilities.
    • Qualifications:
  • Bachelor’s degree in Engineering (Mechanical, Electrical, Civil, Industrial, or related field).
  • Experience in chemical manufacturing, batch or continuous processing, or related industrial environments.
  • Strong analytical and problem solving skills with proficiency in process modeling, statistical analysis, or data visualization tools.
  • Familiarity with process safety management (PSM), hazard analysis (HAZOP), Management of Change (MOC), PreStartup Safety Review (PSSR) and risk assessment methodologies.
  • Excellent communication skills and the ability to work effectively across departments.
    • Key Competencies:
  • Project leadership
  • Technical engineering judgment
  • Budget and cost control
  • Vendor and contractor management
  • Risk management
  • Continuous improvement mindset
  • Strong safety orientation

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