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Mining Data Analytics Jobs in Texas (NOW HIRING)

Judit Inc

Data Analyst

Plano, TX

... mining and segmentation techniques * Working experience with transactional data sets * Previous experience in ecommerce analytics or similar function with heavy focus on data analysis * Must have ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX

Provide analytical support to the organization by leveraging data mining tools and analytical methodologies Assist in data modelling and analysis to determine key customer insights, drive business ...

PNC Bank

Data Scientist

Dallas, TX

Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. * Participates in the data gathering, data processing and data mining of large ...

PNC Bank

Data Analyst Senior

Farmers Branch, TX

$75K - $137K/yr

... Analytics, Data Mining, Data Science, Machine Learning (ML), MongoDB Competencies Application Design, Architecture, Business Intelligence, Data Architecture, Data Mining, Emerging Technologies ...

TestingXperts

Big Data Analytics Process

Houston, TX · On-site

... data mining, artificial intelligence, signal processing, machine learning, optimization etc. in ... analytics or scientific/engineering settings · Experience with statistical software, scripting ...

TestingXperts

Big Data Analytics Process

Houston, TX

... data mining, artificial intelligence, signal processing, machine learning, optimization etc. in ... analytics or scientific/engineering settings Experience with statistical software, scripting ...

PNC Bank

Data Scientist Lead

Dallas, TX · On-site

$80K - $209K/yr

Directs the data gathering, data processing and data mining of large and complex datasets. Provides deep technical expertise to advance the data science capabilities of analytics teams. * Serves as a ...

PeopleVisor

Data Scientist

Irving, TX · On-site

They 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 ...

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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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Mining Data Analytics jobs near you
Business Analyst (Data Analytics & Reporting)

Business Analyst (Data Analytics & Reporting)

TriOptus LLC

Plano, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Analytics And Reporting Team Member

Top skills:

  • Experience with data mining, data science
  • More data focus than a typical business analyst. They'll actually be touching the tools and writing the queries.

Description:

  • The Data Analytics and Reporting Team (DART), which is aligned under the Chief Operations Officer in Consumer and Community Banking (CCB), provides analytics and reporting solutions to business partners across Centralized Transaction Operations (CTO). The DART team leverages a broad technology suite to implement automated solutions and deliver data driven insights.

Qualifications:

  • Minimum 3-5 years demonstrated experience leveraging analytics and data mining to deliver tangible business improvements
  • Bachelor's degree in Business or related field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science)
  • Demonstrated experience with statistical and/or forecasting methodologies for purposes of conducting analysis to drive business decisions
  • Technical knowledge and/or experience using various data visualization (e.g. Tableau) and data wrangling tools (e.g. Python, R, SQL, SAS, Alteryx)
  • Extensive knowledge of database design, Hadoop data architecture and tools, and relational database principles
  • Excellent verbal and written communication skills - ability to summarize findings into concise, high level points geared towards the audience and visually depict key data and findings
  • Demonstrated ability to positively interface with other departments, colleagues, senior management and external customers is required
  • Strong attention to detail and accuracy - proven ability to produce quality results timely
  • Proven ability to prioritize and work on multiple projects simultaneously with minimal supervision
  • Experience within the banking industry preferred.

Key Responsibilities:

This role will be responsible for supporting day-to-day operations while identifying opportunities to streamline, automate, and enhance the information provided to our business partners to improve operational efficiencies.

  • Working with business leaders to identify analytics opportunities
  • Determining data needs/sources, extraction methods, and reporting frameworks
  • Building advanced analytical capabilities with a focus on improving business decisions and actions within CTO
  • Providing proactive, real-time analytics to anticipate and enhance the customer’s experience and decision-making capabilities
  • Focusing on closure of control gaps, reduction of manual controls, automation of manual processes, reduction of handoffs, and increasing operational efficiency with dashboards
  • Leveraging data mining, data manipulation, and analytics skills to solve business problems, create opportunities and identify potential analytical strategies
  • Translating high-level operational business needs into actionable intermediate or complex design analysis
  • Implementing analytical initiatives that deliver tangible process, product, people and/or technology improvements
  • Optimizing business results and client satisfaction through advanced research, analytic tools and techniques.
  • Pursuing opportunities where analytics can drive significant operating outcomes - where different decisions should be made and/or where meaningful efficiencies can be implemented
  • Understanding the cost-benefit relationship between solution sophistication and practicality, and striving to produce the fastest and most accurate results.
  • Articulating how the impact of research connects to business priorities
  • Presenting recommendations to management and business partners (including business implications) and determining how to best summarize and visualize the results

This position requires excellent interpersonal skills with the ability to build and maintain key relationships and work well with team members, clients, and senior executives - effectively communicating with them at their level of analytical/technical understanding.

Apply