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Home Based Data Analyst Jobs in Texas (NOW HIRING)

LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their ...

Data Analyst With AI Experience Location: Cupertino or Austin Client: Apple Previously worked from ... Design and develop scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data ...

New

Experience with Python and Python-based data analysis and manipulation packages Desired Skills and Abilities * BS/MS degree in Business, Operation Research, Economics, Statistics, or related fields

The Data Analyst will be part of the Strategic & Risk Management team, supporting the development ... Experience with data engineering concepts and cloud-based data platforms. * Familiarity with risk ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site ... Experience with Databricks or cloud-based data platforms * Working knowledge of SQL for basic ...

Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site ... Experience with Databricks or cloud-based data platforms * Working knowledge of SQL for basic ...

Senior Enterprise Data Analyst

Dallas, TX · On-site

$85K - $107K/yr

Experience with PostgreSQL and cloud-based data platforms * Experience developing SQL stored procedures * Knowledge of Agile delivery methodologies * Strong analytical, organizational, and problem ...

Data Analyst

San Antonio, TX · On-site

$65 - $95/hr

Working knowledge of Data Mining Principles, Predictive Analytics, Mapping, Collecting Data from Multiple Systems including but not limited to cloud-based data sources. * Ability to extract data ...

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical ... Familiarity with cloud-based data platforms (Snowflake, Databricks). * Understanding ofdata ...

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical ... Familiarity with cloud-based data platforms (Snowflake, Databricks). * Understanding ofdata ...

Senior Enterprise Data Analyst #3230

Dallas, TX · Hybrid

$85K - $107K/yr

Experience with PostgreSQL and cloud-based data platforms * Experience developing SQL stored procedures * Knowledge of Agile delivery methodologies * Strong analytical, organizational, and problem ...

Role summary We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments. The ideal candidate ...

Role summary We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments. The ideal candidate ...

New

Role summary We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments. The ideal candidate ...

New

Data Analyst

Austin, TX · On-site

$75K/yr

THIS ROLE IS FULLY ON-SITE IN AUSTIN TEXAS Job Overview DaBella is one of the fastest-growing home improvement companies in the country. We are seeking a Data Analyst to support business growth ...

Data Analyst

Austin, TX · On-site

$70 - $95/hr

Everything in home finance today caters to the transaction, the home buyer or seller, while the ... You'll work closely with the growth team to analyze performance, explore product and funnel data ...

THIS ROLE IS FULLY ON-SITE IN AUSTIN TEXAS Job Overview DaBella is one of the fastest-growing home improvement companies in the country. We are seeking a Data Analyst to support business growth ...

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Home Based Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do home based data analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for home based data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a home based data analyst?

A Home Based Data Analyst is a professional who works remotely from their home to collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. The role typically involves working with large volumes of data, ensuring data quality, and presenting findings to stakeholders. Home Based Data Analysts must have strong analytical skills, attention to detail, and proficiency in data analysis software such as Excel, SQL, or Python. Remote data analysts often collaborate with teams and clients virtually.

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

To thrive as a Home Based Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Experience with technical tools like SQL, Excel, Python, and data visualization platforms (e.g., Tableau or Power BI) is crucial, along with knowledge of remote collaboration software. Excellent attention to detail, problem-solving ability, and clear communication help you interpret data accurately and present actionable insights to stakeholders. These skills ensure you can independently manage, analyze, and report data effectively while collaborating remotely with teams and clients.

How do home based data analysts typically collaborate with team members while working remotely?

Home-based data analysts often use a variety of digital tools to stay connected and collaborate with their teams, such as project management platforms, instant messaging apps, and video conferencing software. Regular virtual meetings and real-time document sharing are common practices to ensure alignment on projects and data-driven decisions. Effective communication skills and proactive reporting help maintain transparency and foster teamwork despite the physical distance. By leveraging cloud-based analytics platforms, analysts can seamlessly share insights and work jointly on datasets with colleagues across different locations.

Is it possible to work remotely as a home based data analyst?

Home based data analysts can often work remotely, as the role primarily involves analyzing data using software tools like Excel, SQL, or Python, which can be accessed from any location with internet access. Many companies offer remote or flexible schedules for data analysis positions, especially with the increasing adoption of cloud-based collaboration tools. However, some roles may require occasional in-person meetings or specific certifications to qualify for remote work.

What are the most commonly searched types of Data Analyst jobs in Texas?

The most popular types of Data Analyst jobs in Texas are:

What cities in Texas are hiring for Home Based Data Analyst jobs?

Cities in Texas with the most Home Based Data Analyst job openings:

Infographic showing various Home Based Data Analyst job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Analyst - Data Operations

LP Analyst

Dallas, TX • On-site

Full-time

Re-posted 9 hours ago


Job description

Job Summary:
LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their operations team, responsible for the collection, processing, and delivery of financial data to clients.
Responsibilities:
• Support the build-out and maintenance of ETL/ELT pipelines that collect, transform, and load financial data from multiple sources into our internal platform, ensuring accuracy and completeness
• Leverage AI-based tools for automated data extraction and validation, helping to assess output quality and flag exceptions that require review or correction
• Write and optimize SQL queries to support data transformation, validation, and quality assurance across our internal data platform
• Identify manual, Excel-heavy workflows and assist in transitioning them to automated, repeatable solutions
• Monitor pipeline performance and data quality, flagging and resolving issues to ensure accurate and timely client data delivery
• Interpret varied reporting formats and practices across private capital strategies, applying judgment to ensure data is accurately captured and consistently represented regardless of source format
• Communicate effectively with team leads, senior colleagues, and non-technical teammates, translating technical processes and findings into clear business terms and escalating issues through appropriate channels
• Contribute to documentation of pipelines, data flows, and processes to build shared knowledge across the team
• Assist in testing and QA of new pipeline builds and enhancements before deployment
• Respond to ad hoc data requests from internal teams, pulling and summarizing data as needed to support day-to-day business operations
• Adhere to data governance standards including naming conventions, data definitions, and data integrity practices, with an awareness of the accuracy and compliance expectations of a financial services environment
• Work collaboratively with cross-functional teams, including client services, to meet service-level agreements and data delivery deadlines, adapting to shifting priorities in a deadline-driven environment
Qualifications:
Required:
• 0–3 years of experience in a data, analytics, or operations role
• Hands-on experience with Python, including writing scripts for data processing or automation
• Working knowledge of SQL, including writing queries to extract, transform, and validate data
• Exposure to AI-based data tools or a demonstrated curiosity about applying AI and automation to data workflows
• Familiarity with ETL/ELT concepts and data pipeline fundamentals
• Proficiency in Excel and/or Power Query for data manipulation and analysis
• Strong attention to detail and a genuine commitment to data quality
• Ability to work collaboratively within a team and communicate clearly with both technical and non-technical colleagues
• Bachelor's degree in Finance, Business Analytics, Data Science, Computer Science, or a related field
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position
Preferred:
• Understanding of financial data — fund accounting, investment data, or financial statements experience — is a plus
Company:
LP Analyst is the source for independent advisory and analysis solutions for the private equity investment community. Founded in 2011, the company is headquartered in Dallas, USA, with a team of 51-200 employees. The company is currently Growth Stage.