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Remote Data Analyst Jobs in Forney, TX (NOW HIRING)

Data Team Supervisor

Dallas, TX · On-site +1

$105K - $120K/yr

Remote-First with In-Person Training: This position is remote following successful completion of ... Supervise a team of Data Warehouse Analysts and Database Administrators, ensuring that workloads ...

Data Team Supervisor

Dallas, TX · Remote

$105K - $120K/yr

Remote-First with In-Person Training: This position is remote following successful completion of ... Supervise a team of Data Warehouse Analysts and Database Administrators, ensuring that workloads ...

Remote Skill Requirements * Proficiency in data analysis tools and financial software * Strong understanding of financial principles and budget management * Excellent analytical and problem-solving ...

Advisor Data Architect

Dallas, TX · Remote

$65.25 - $84/hr

Remote (Needs to travel to client site when required with your own expenses) Duration: Long term ... Analyze and interpret data to create, review and ad hoc exhibits based on detailed data sets.

Data Engineer

Dallas, TX · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Data Engineer

Dallas, TX · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

Description We are seeking a GIS Data Analyst to support market expansion and network growth ... remote position. Application Deadline This position is anticipated to close on Aug 7, 2026. About ...

Network Strategist- GIS

Dallas, TX · Remote

$60 - $85/hr

Description We are seeking a GIS Data Analyst to support market expansion and network growth ... remote position. Application Deadline This position is anticipated to close on Aug 7, 2026. About ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Soft Skills - Strong analytical and conceptual thinking abilities. - Excellent communication skills ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Soft Skills - Strong analytical and conceptual thinking abilities. - Excellent communication skills ...

Req ID: 367052 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Soft Skills - Strong analytical and conceptual thinking abilities. - Excellent communication skills ...

Analyze and compare data from RAS/PowerLine and other internal systems to identify inconsistencies ... Position is performed in a general office environment, home office, or approved remote workspace ...

Showing results 41-60

Remote Data Analyst information

See Forney, TX salary details

$30.6K

$74.4K

$122.5K

How much do remote data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data analyst in Forney, TX is $74,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $87,400.00 per year, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Forney, TX? The most popular types of Data Analyst jobs in Forney, TX are:
What job categories do people searching Remote Data Analyst jobs in Forney, TX look for? The top searched job categories for Remote Data Analyst jobs in Forney, TX are:
What cities near Forney, TX are hiring for Remote Data Analyst jobs? Cities near Forney, TX with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Forney, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $74,447 per year, or $35.8 per hour.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 17 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.