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Remote Data Mining Jobs in Texas (NOW HIRING)

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Knowledge of machine learning algorithms and data mining techniques. * Familiarity with project ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

Deep knowledge in AI, data mining, data evaluation, and proficiency in compiling an effective and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Data Scientist

Austin, TX · On-site +1

Significant experience in data mining, machine-learning and operations research * Experience with data modeling, design patterns, building highly scalable and secured solutions preferred * Prior ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Senior Data Analyst

Irving, TX · Remote

$79K - $100K/yr

... mining using Pandas. 11. Create Tableau dashboards using filters, sets/groups, parameters, and calculated fields. 12. Implement data blending and create dual axis graphs with multiple measures in ...

Experience working with data mining models, structures, theories, principles, and practices ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Experience working with data mining models, structures, theories, principles, and practices ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Mining information

What careers use data mining?

Data mining is used in various careers such as data analyst, data scientist, business intelligence analyst, and market researcher. These roles involve analyzing large datasets to extract insights, often using tools like SQL, Python, or R, and require strong analytical skills and knowledge of data management.

What is a Remote Data Mining job?

A Remote Data Mining job involves extracting, processing, and analyzing large datasets to uncover patterns, trends, and insights—all while working from a remote location. Professionals in this field use statistical methods, machine learning techniques, and specialized software to transform raw data into actionable insights. These roles are common in industries like finance, marketing, healthcare, and e-commerce, where data-driven decision-making is essential. Remote data miners typically collaborate with teams via digital communication tools and may need proficiency in programming languages like Python or R.

Is 40 too late for data science?

Age is not a barrier to becoming a remote data mining or data science professional. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch careers at 40 or older.

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

To thrive as a Remote Data Mining professional, you need strong analytical abilities, statistical knowledge, proficiency in programming languages such as Python or R, and a background in computer science, data science, or a related field. Expertise in data mining tools like SQL, RapidMiner, or Weka and familiarity with data visualization platforms are highly valued, and certifications in data analytics can be advantageous. Attention to detail, problem-solving skills, and effective communication are important soft skills for collaborating remotely and presenting insights to stakeholders. These skills enable you to extract valuable patterns and insights from large datasets while working independently and aligning with organizational goals.

What are some common challenges faced by remote data mining professionals, and how can they be addressed?

Remote data mining professionals often encounter challenges such as managing large and complex datasets, ensuring data privacy, and maintaining effective communication with distributed teams. Addressing these challenges typically involves leveraging secure cloud storage solutions, utilizing robust data analysis tools, and adopting clear documentation and regular virtual meetings to stay aligned on project goals. Additionally, building strong time management habits and being proactive in seeking feedback from team members can help remote data miners stay productive and engaged. Most organizations provide access to collaboration platforms and training to help overcome these obstacles, ensuring a supportive and efficient remote work environment.

Can I get a remote data entry job?

Remote data mining jobs are available and often involve collecting, processing, and analyzing large datasets from home. These roles typically require skills in data management tools, attention to detail, and sometimes basic knowledge of databases or programming. Many companies offer flexible schedules for such positions, which can be suitable for remote work seekers.

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. It offers opportunities in various industries such as technology, finance, and healthcare, with demand for professionals who can interpret data and support decision-making. The role typically involves continuous learning and proficiency with software like SQL, Python, or R.
What are the most commonly searched types of Data Mining jobs in Texas? The most popular types of Data Mining jobs in Texas are:
What cities in Texas are hiring for Remote Data Mining jobs? Cities in Texas with the most Remote Data Mining job openings:
Infographic showing various Remote Data Mining job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Remote Data Analyst

Jill Frisch

Dallas, TX • On-site, Remote

$50K - $63K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Company Overview:

Jill Frisch & Freeze Minimart, where unparalleled convenience meets exceptional quality. We have been at the forefront of the retail industry, steadfastly serving a diverse and growing global community. Our odyssey commenced with a visionary mission: to craft an all-encompassing shopping sanctuary meticulously tailored to the evolving desires of our customers.

Through relentless dedication and an unwavering commitment to innovation, we have burgeoned into an eminent enterprise, revered as the quintessential haven for an extensive array of fresh produce, gourmet delicacies, household staples, and beyond. Our zeal for excellence is perpetual; we are devoted to incessantly broadening our assortment of premium products and elevating the customer experience to unprecedented heights.

As a family-founded enterprise, we cherish the deep-rooted connections we've cultivated with our esteemed patrons. It is with immense pride that we continue to nurture these bonds, ensuring that Jill Frisch & Freeze Minimart remains eminent emporium for all shopping endeavors.

As we continue to expand, we are looking for a talented Data Analyst to join our team and help us make data-driven decisions for our business.

Position Overview:

As a Data Analyst at Jill Frisch & Freeze MiniMart, you will be responsible for collecting, analyzing, and interpreting data to help us make informed decisions. You will work closely with our management team to identify areas of improvement and provide actionable insights to drive business growth.

Key Responsibilities:

- Collect, organize, and analyze large sets of data from various sources, including sales, inventory, and customer data

- Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide insights to the management team

- Identify trends and patterns in data to inform business strategies and decision-making

- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions

- Develop and implement data quality control processes to ensure accuracy and consistency of data

- Stay updated on industry trends and best practices in data analysis to continuously improve processes and methodologies

Qualifications:

- Bachelor's degree in Data Analytics, Statistics, Mathematics, or a related field

- 2+ years of experience in data analysis, preferably in a retail or consumer goods industry

- Proficient in SQL and data visualization tools such as Tableau or Power BI

- Strong analytical and problem-solving skills with a keen attention to detail

- Ability to communicate complex data insights in a clear and concise manner

- Experience with statistical analysis and predictive modeling is a plus

- Familiarity with data management and ETL processes is a plus

We Offer:

- Competitive salary and benefits package

- Opportunities for growth and development within a fast-growing company

- A dynamic and collaborative work environment

- The chance to make a significant impact on the business through data-driven decision-making

If you are a highly analytical and detail-oriented individual with a passion for data, we would love to hear from you. Join our team at Jill Frisch & Freeze MiniMart and help us drive our business forward through data analysis.

Minimum Education:

  • Bachelor's degree in Analytics, Statistics, Mathematics,
    Economics, Finance, Computer Science or a related quantitative
    discipline and/or business or an equivalent combination of education and
    experience.

Minimum experience:

  • Two or more years of hands-on data wrangling, reporting, analytics, and data programming

Notice: This position is solely for US Citizens!!!

Job Type: Full-time, Part-time

What we offer:

Compensation: Jill Frisch & Freeze Minimart has an effective process for assessing
market data and establishing ranges to ensure we remain competitive. You
are paid within the salary range based on your experience and market
data of the position. The actual salary for this role may vary by
location. The salary range for this position is: $50,000.00 - $63,000.00

Employees may be eligible for pay incentives based on overall
corporate and individual performance and at the discretion of our Board.

Benefits: Here, our employees enjoy best-in-class benefits
to support their physical, financial, and emotional wellness. These
benefits include comprehensive medical, dental and vision plans, 401(k),
pension, life insurance, parental benefits, adoption assistance, paid
time off program with paid holidays plus 16 paid volunteer hours, and
various wellness programs. Additionally, our career path planning and
continuing education assists employees with their professional goals.

Work Remotely: Yes

Work Location: Remote