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Day Shift Data Mining Jobs (NOW HIRING)

Collabera

Data Warehousing - Intermediate

Phoenix, AZ

$49 - $67/hr

... days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance ... Uses data mining and data analysis tools. Reviews and validates data loaded into the data warehouse ...

GXO Logistics

Data Analyst

New Albany, OH

... of. 1st Shift, Monday - Friday, 8:00 am - 5:00 pm As the Data Analyst, you will analyze and ... What you'll do on a typical day: * Gather data and research the results using statistical ...

GXO Logistics

Data Analyst

New Albany, OH · On-site

... of. 1st Shift, Monday - Friday, 8:00 am - 5:00 pm As the Data Analyst, you will analyze and ... What you'll do on a typical day: * Gather data and research the results using statistical ...

TriOptus LLC

Data Analyst - IT III

Chicago, IL · On-site

... of data mining and analysis - Data mining and analysis for ad hoc projects will include ... a day and our operation is complex 3. PowerBI 4. Independent with minimal supervision - self ...

PNC Bank

$65K - $186K/yr

We work together each day to foster an inclusive workplace culture where all of our employees feel ... Directs the data gathering, data processing and data mining of large and complex datasets. * Leads ...

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Pentagon Shift: No Required clearance: Active TS/SCI clearance and CI poly Required education ... Experience with natural language processing, text mining, or machine learning techniques

Leidos

Senior Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures ... days with an anticipated close date of no earlier than 3 days after the original posting date as ...

Nalley Consulting

Data Scientist - Sr

Arlington, VA · On-site

Pentagon Shift: No Required clearance: Active TS/SCI clearance and CI poly Required education ... Experience with natural language processing, text mining, or machine learning techniques

Analytic Services Inc

Data Scientist

Washington, DC · On-site

Day-to-Day Responsibilities * Design, develop, and evaluate advanced algorithmic intelligence, data ... Use data engineering, mining, exploratory, predictive, statistical, and scientific techniques to ...

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All JobsDay Shift Data Mining Jobs

Day Shift Data Mining information

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How much do day shift data mining jobs pay per year?

As of Jun 8, 2026, the average yearly pay for day shift data mining in the United States is $69,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $85,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Day Shift Data Mining jobs? Cities with the most Day Shift Data Mining job openings:
What are the most commonly searched types of Shift Data Mining jobs? The most popular types of Shift Data Mining jobs are:
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Day Shift Data Mining jobs near you
Infographic showing various Day Shift Data Mining job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 7% Contract, and 7% Nights. Highlights an 100% In-person job distribution, with an average salary of $69,999 per year, or $33.7 per hour.
Business Analyst (Data Analytics & Reporting)

Business Analyst (Data Analytics & Reporting)

TriOptus LLC

Plano, TX

Other

Posted 18 days ago

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.

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