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Mining Data Analytics Jobs in California (NOW HIRING)

TriOptus LLC

Data Analyst

El Segundo, CA · On-site

... Viewership analytics , Supply chain , so the ideal candidate should be open to learn different ... SQL (data mining, coding) * Excel (Big datasets and modeling) * Powerpoint (Visualization)

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

Use data mining and machine learning techniques to develop robust models in areas such as segmentation and profiling, churn assessment, customer loyalty prediction, retention analysis, and product ...

psudo

Experience with text analytics, data mining and social media analytics. * Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks ...

Essc

Director, Data Engineering

Irvine, CA

Collaborates with the Director of Business Intelligence & Analytics to define data requirements, optimize data models, and enhance reporting, analytics, and data mining capabilities. Demonstrates a ...

Pinterest

Sr. Data Analyst

Los Angeles, CA · On-site +1

$92K - $116K/yr

You will combine quantitative analysis, data mining, business storytelling, and scalable data product development to turn complex data into actionable insights for the Content team and cross ...

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Mining Data Analytics information

What does a mining data analytics do?

A mining data analyst collects, processes, and interprets data related to mining operations to improve efficiency, safety, and productivity. They use tools like SQL, Python, or specialized mining software to analyze large datasets and support decision-making. Strong analytical skills and knowledge of mining processes are essential for this role.

What is data analytics in the mining industry?

Data analytics in mining involves collecting and analyzing large datasets from exploration, production, and safety operations to optimize processes, improve efficiency, and reduce costs. Mining data analysts use tools like statistical software and machine learning to interpret sensor data, geological information, and operational metrics, supporting decision-making and resource management.

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.

What are popular job titles related to Mining Data Analytics jobs in California? For Mining Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Mining Data Analytics jobs in California look for? The top searched job categories for Mining Data Analytics jobs in California are:
What cities in California are hiring for Mining Data Analytics jobs? Cities in California with the most Mining Data Analytics job openings:
Mining Data Analytics jobs near you

[Mid Level] Data Analyst - Supply Chain Warehouse Reporting & Analytics (17536-1)

JND Inc.

Santa Ana, CA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
JND Inc. is a global industry leader seeking a Data Analyst to support warehouse reporting and analytics. The role involves data mining, analysis, and reporting on key performance indicators related to logistics and supply chain operations, while collaborating with cross-functional teams to drive performance improvement.
Responsibilities:
• Data & business analysis
• Data mining & extraction from multiple sources to build reports
• Daily, weekly, and monthly report generation
• Report automation & design
• Maintaining existing dashboards; weekly & monthly analysis and reporting
• Help drive critical business decisions through in-depth analysis; provide recommendations based on findings
• Develop models that help with decision-making
• Identify opportunities for performance improvement
• Publish standard and complex ad-hoc reports with varying detail for different audiences
Qualifications:
Required:
• Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
• Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
• High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) required
• Experience with SAP and WMS (Warehouse Management Systems) required
• Excellent analytical, decision-making, and problem-solving skills
• Strong data mining skills and experience extracting & manipulating data from multiple sources
• Strong verbal and written communication skills; ability to interact with all levels of management
• Results driven; ability to handle multiple projects and work independently without supervision
• Must be comfortable working in a multi-cultural business environment
Company:
We have been serving the IT community with innovative software technology to help clients successfully develop mobile software for the world market. Founded in 2010, the company is headquartered in Carrollton, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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