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Mining Data Analytics Jobs in Indiana (NOW HIRING)

Data Engineer I

Whiteland, IN · On-site

$114K - $137K/yr

Collaborating with developers, analysts, and data scientists, you'll implement scalable ... Develop and sustain data workflows for modeling, mining, and production, identifying opportunities ...

Associate Data Scientist

Fort Wayne, IN

$58K - $58K/yr

Demonstrate proficiency with data mining, mathematics, statistical analysis, and predictive modeling. * Able to look at things differently, debug, troubleshoot, design, and implement solutions to ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Demonstrate proficiency with data mining, mathematics, statistical analysis, and predictive modeling. * Able to look at things differently, debug, troubleshoot, design, and implement solutions to ...

Collaborating with developers, analysts, and data scientists, you'll implement scalable ... Develop and sustain data workflows for modeling, mining, and production, identifying opportunities ...

Showing results 41-60

Mining Data Analytics information

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

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For Mining Data Analytics jobs in Indiana, the most frequently searched job titles are:

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Infographic showing various Mining Data Analytics job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Engineer I

DPDHL

Whiteland, IN • On-site

$114K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Are you ready to shape the data that powers real impact in the supply chain world? At DHL Supply Chain, we're looking for a Data Engineer I who's excited to build reliable data pipelines, enhance data accessibility, and support innovative solutions across the business. This is your chance to influence how information flows through our operations, driving smarter decisions and continuous improvement. If you're a curious, collaborative problem solver with a passion for data engineering, growth, and meaningful impact-this role is for you!


Job Description

As a Data Engineer I, you'll design and optimize data pipelines that ensure reliable, accessible information across DHL Supply Chain. You'll develop and maintain data flows, integrate systems using various tools, and build models that support business objectives. Collaborating with developers, analysts, and data scientists, you'll implement scalable architectures and identify opportunities to improve data quality and efficiency. This role is perfect for someone ready to enhance data usability and drive impactful solutions in a collaborative environment.


Responsibilities

  • Support developers, architects, analysts, and data scientists by improving data accessibility and usability.
  • Maintain consistency across projects by following established data delivery architecture standards.
  • Recommend and implement data pipeline designs that optimize data flow for cross functional teams.
  • Design, build, and deploy data processes that serve multiple systems and products.
  • Develop and sustain data workflows for modeling, mining, and production, identifying opportunities for new data acquisition and integration.
  • Use a variety of languages and tools to integrate systems and enhance data reliability, efficiency, and quality.
  • Architect, build, and launch data models that support business objectives and strengthen analytics capabilities.
  • Collaborate with cross functional partners to ensure data initiatives align with organizational goals and stakeholder needs.


Required Experiences

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 1+ years of experience in data engineering or a related technical role, required
  • Hands on experience developing and managing data pipelines, required
  • Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL, or SQL Server, required
  • Proficiency in programming languages such as Python, Java, or Scala, required
  • Familiarity with data warehousing solutions and working with large datasets, required
  • Knowledge of data modeling, ETL processes, and data warehousing concepts-particularly within Azure environments, required
  • Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred
  • Ability to work with data visualization tools such as Power BI, preferred
  • Understanding of data governance and data quality principles, preferred


At DHL Supply Chain, we foster a business casual environment focused on teamwork, associate development, and continuous improvement. We offer competitive wages, excellent insurance benefits (health, dental, vision, life), a 401K plan, paid vacation and holidays, and opportunities for career growth. We are proud to be an equal opportunity employer.

Employment Type: FULL_TIME