Data Analyst

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November 13

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Cummins Inc.

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Energy • Transport • Hardware

Cummins Inc. is a global power technology leader that designs, manufactures, and distributes a variety of engines and power systems solutions. They offer products that range from diesel and natural gas engines to hybrid and electric power systems, as well as components like turbochargers, fuel systems, and emissions solutions. With a strong emphasis on innovation, Cummins aims to reduce emissions and improve fuel efficiency. The company is dedicated to helping industries navigate the transition to cleaner energy through integrated power solutions suitable for diverse applications such as on-highway, marine, mining, and construction. Additionally, Cummins provides services including remote monitoring, diagnostics, and aftermarket support, reinforcing its commitment to sustainability and customer service excellence.

10,000+ employees

Founded 1919

⚡ Energy

🚗 Transport

🔧 Hardware

💰 $75M Grant on 2024-07

📋 Description

• Interprets data and turns it into information which can offer ways to improve how the data is used within the business, thus affecting business decisions. • Gathers information from various sources and interprets patterns and trends. • Develops reports and dashboards to visualize findings. • Conducts descriptive and diagnostic analytics on data sources. • Applies machine learning and machine learning tools on data and metadata to improve data quality. • Identifies patterns and trends in data sets. • Creates reports and dashboards on analysis results using business intelligence technologies. • Develops data profiles for data tables and elements in the data lake. • Creates data catalog entries, ensures data catalog metadata quality. • Analyzes diverse data sets to identify data quality, coherency and integrability issues and reduce data redundancy. • Collaborates to develop data cleansing methods and rules. • Assists in creation and maintenance of documentation of key decisions, rules, controls and processes.

🎯 Requirements

• College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. • Relevant experience preferred such as working in a temporary student employment, intern, co-op, or other extracurricular team activities. • Knowledge of the latest technologies and trends in data science is highly preferred and includes: • - SQL query language execution on NOSql and SQL sources • - Exposure to Agile software development • - Exposure to IoT technology • - Data profiling tools, technologies and coding • - Data Catalog tools and technologies • - Business intelligence tools and technologies • - Exposure to Big Data open source • - Clustered compute cloud-based implementation experience

🏖️ Benefits

• none