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Data Mining Jobs in Spring, TX (NOW HIRING)

... data mining and analysis to support strategic decision-making and financial forecasting - Collaborating with stakeholders to develop and maintain financial internal controls and compliance frameworks ...

Attract quality craft candidates through a variety of methods including internet, social media, job boards, cold calling, data mining, networking, employee referrals and job fairs/events * Assist ...

Finance Data and AI Manager

Houston, TX · On-site

$99K - $232K/yr

... financial data mining for strategic insights - Excelling in complex data analysis and visualization - Demonstrating proficiency in financial forecasting and modeling - Managing operational ...

... data mining, and data warehousing- Advanced knowledge of SQL and data warehouse concepts- Experience with database design, performance tuning, and scalability Experience and knowledge with cloud ...

Manages mining, analysis, and interpretation of departmental data to demonstrate clinical, operational, and financial outcomes * Manages, tracks, and evaluates performance measures, identifies data ...

... data mining, and data warehousing- Advanced knowledge of SQL and data warehouse concepts- Experience with database design, performance tuning, and scalability Experience and knowledge with cloud ...

... data mining, investigations. Additional Information If you are interested in above position, please share your updated resume to sudheerv(at)usmsystems(dot)com or can directly call me on 703-880-8413.

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Data Mining information

See Spring, TX salary details

$45.4K

$62.3K

$79.2K

How much do data mining jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data mining in Spring, TX is $62,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,900.00 and $75,600.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are popular job titles related to Data Mining jobs in Spring, TX? For Data Mining jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Spring, TX look for? The top searched job categories for Data Mining jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Mining jobs? Cities near Spring, TX with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,292 per year, or $29.9 per hour.
Automated Reporting Solutions - Manager

Automated Reporting Solutions - Manager

Pwc

Houston, TX • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

CMAAS (Capital Markets and Accounting Advisory Services)

Management Level

Manager

Job Description & Summary

The Opportunity
As an Automated Reporting Solutions - Manager, you will specialize in enhancing the efficiency and effectiveness of financial operations within organizations. You will assess financial processes, identify areas for improvement, and design solutions to streamline operations, enhance controls, and reduce costs. As a Manager, you will motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role, you will be part of our Finance Consulting practice, where you will provide consulting services related to financial management and strategy. Your work will involve offering guidance on financial systems implementation, process automation, and financial shared services. You will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. By embracing technology and innovation, you will enhance your delivery and encourage others to do the same, contributing to the overall success of our team and clients.
Responsibilities
- Leading the development and implementation of automated financial reporting solutions to enhance operational efficiency
- Analyzing financial processes to identify areas for improvement and designing strategies to streamline operations
- Managing client engagements by overseeing project planning, budgeting, and execution to meet client expectations
- Guiding teams in the application of financial systems and process automation to optimize financial performance
- Providing coaching and feedback to team members to foster professional growth and improve performance
- Utilizing financial data mining and analysis to support strategic decision-making and financial forecasting
- Collaborating with stakeholders to develop and maintain financial internal controls and compliance frameworks
- Overseeing the preparation and review of financial statements to validate accuracy and reliability
- Encouraging the adoption of innovative technologies and practices to drive continuous improvement in financial operations
- Supporting the integration of financial strategy with broader business objectives to achieve organizational goals
What You Must Have
- At least a Bachelor's degree
- At least 5 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Mathematics/Statistics, Risk Management/Insurance
- At least one of the following: Certified Public Accountant
- Excelling in financial statement analysis and preparation
- Utilizing financial modeling and forecasting techniques
- Managing accounts payable and receivable processes
- Demonstrating proficiency in financial data mining and reporting
- Embracing change and innovation in financial operations

Travel Requirements

Up to 40%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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