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Mining Data Analytics Jobs in California (NOW HIRING)

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running ...

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running ...

New

You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running ...

New

Apply data mining, data modeling, natural language processing, and machine learning to analyze information from large structured and unstructured datasets. * Visualize, interpret, and report data ...

Experience working in large Data warehouse and Data-Mart environment on data mapping, data mining, data methodology and data analysis for major data automation projects. Strong SQL skills are ...

Use data mining and other analytical techniques to gain insight into customers to improve the effectiveness of communications and products * Improve the presentation and communication of marketing ...

This role operates in a mining environment and works closely with the Mine Manager, operations ... Utilize mine planning and design software to analyze data and support decision-making. * Work ...

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Performs routine data mining, validation, and reconciliation of data across various applications.

You will design and develop data & analytics solutions using cutting-edge tools to improve data ... Performs routine data mining, validation, and reconciliation of data across various applications.

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Perform basic statistical analysis and data mining to uncover trends, patterns, and insights. * Create and maintain dashboards and reports to visualize key metrics and findings. * Support the ...

Showing results 21-40

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:

Sr.Sales Executive (Analytics Sales Exposure) Opening in Grazitti Interactive INC, US

Grazitti Interactive Inc.

Mountain View, CA • On-site

Full-time

Re-posted 24 days ago


Job description

Grazitti Interactive INC is a global digital services provider leveraging cloud, mobile and social media technologies to reinvent the way they do business. Since 2007, Grazitti has been at the forefront of innovation helping companies power their businesses with customer acquisition, customer experience and analytic services.  As a global consultancy, we have developed strategic partnerships with technology pioneers like Alteryx, Microsoft, Marketo-Adobe, Salesforce, Google, Khoros, Optimizely, Acquia, Shopify and Jive. We combine these platforms with custom solutions  to provide effective, result-oriented outcomes  to our clients. We have been helping hundreds of global companies to transform their business technologies and extract more value from their investment..

Position:  Senior Analytics Sales Executive

Employment Type             : Full time.  Flexible Office / WFH arrangement. 

Experience Required       : Around 5-8+ years of relevant experience in selling analytics 

Technology & Services

Location                               : This role is based out in Mountain View, California.

Responsibilities

  • Develop a Go to Market Sales Plan  
  • Acquire new customers for Analytics services, explore similar opportunities in our extensive client base 
  • Execute a plan for sales goals, and provide accurate, complete and timely submission of pipeline reports and forecasts.
  • Support development of appropriate marketing plans to target a diverse set of potential customers in order to generate qualified leads and opportunities.

Skills Required 

  • Knowledge of data analytics platforms and services covering Data mining, Data modelling, ETL, DWH and BI solutions
  • Ability to analyse the business requirements & have high level understanding on business Use Cases where Data Analytics help provide insights. E.g.’s Marketing & Sales Analytics, Customer Churn Analytics, Sales Rep performance, Healthcare Analytics, Retail Analytics etc
  • Well versed with BI tools widely used in market such as Tableau, PowerBI, Looker, QlikSense, Cognos etc
  • Awareness of public cloud platforms such as AWS, Azure vs On-Prem/ SQL server offerings. Ability to consult & provide advisory.

Key Requirements:

Professional

  • Experience. 5- 8+ years’ experience selling business solutions to large/global enterprise customers with a focus on Data & Analytics platform technologies 
  • Executive Presence. Experience and expertise in interacting with senior business decision makers by aligning & reinforcing the value of the solution to the customer’s overall business pain and/or strategic opportunities. 
  • Problem Solver. Demonstrated ability to solve customer problems 
  • Collaborative. Strong relationship-building and negotiation skills. required
  • Excellent Communicator. Executive level communication skills (both written and verbal), and the ability to mentor others. 
  • You will need to demonstrate the ability to build rapport with clients, be self motivated, accountable, results driven and have a proven track record in software sales, business development or account management. Your success will be measured through meeting and exceeding revenue targets, successful development of new clients, and the ability to leverage new and innovative ways to reach our clients

Technical

  • Good knowledge of Data Analytics - BI tools ( Tableau, POWER BI) , ETL , DWH, ML and like
  • Knowledge of emerging technologies in Data warehousing, Data Transformation, Analytics  and Machine Learning would be a plus
  • Technical Knowledge -  possess both business acumen and technology awareness and be able to connect how data and analytics impact customer business impact