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Remote Data Analyst Hybrid Jobs in Texas (NOW HIRING)

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst ... Project will involve complex excel formulas and ability to synthesize large data sets into ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements • Minimum 4+ years of recent hands-on experience with Texas HHSC ...

Business Data Analyst Austin, Texas (Hybrid - 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements Minimum 4+ years of recent hands-on experience with Texas HHSC Direct ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a Data Analyst at Orionyx Engineering Ltd. , you will play a pivotal role in transforming data into ...

We are looking for a Data Analyst to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity ...

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Remote Data Analyst Hybrid information

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

AspectRemote Data Analyst HybridRemote Data Scientist
Required CredentialsBachelor's in Data Analytics, 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 EnvironmentPartially remote, often in office and home; collaborative teamsPrimarily remote; independent research and complex analysis
Employer & Industry UsageBusiness, finance, marketing, healthcareTech, finance, research institutions, AI companies

Remote Data Analyst Hybrid roles focus on analyzing data using tools like Excel and SQL, often in a hybrid work setting. Remote Data Scientists handle advanced modeling and machine learning, typically working fully remotely. Both roles require strong analytical skills but differ in complexity and technical depth.

Can you work fully remote as a remote data analyst hybrid?

A remote data analyst hybrid role typically involves working both remotely and on-site, with the proportion of remote work varying by employer. Some companies may allow full remote work, while others require periodic or full-time on-site presence depending on company policies and project needs. It is important to clarify the specific job's remote work expectations during the application process.

Is it still worth it to become a remote data analyst hybrid in 2026?

A remote data analyst hybrid role remains valuable in 2026 due to ongoing demand for data-driven decision-making and the flexibility of remote work. Success in this role typically requires proficiency in tools like SQL, Excel, and data visualization software, along with strong analytical skills. The hybrid model offers a balance of remote work and in-person collaboration, which can enhance productivity and career growth.

What cities in Texas are hiring for Remote Data Analyst Hybrid jobs?

Cities in Texas with the most Remote Data Analyst Hybrid job openings:

Remote Data Analyst

Dallas, TX • Remote

Contractor

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

The Nations 2nd largest Technical Staffing and Services Firm, has an opening for a Remote Analyst at a global leader in retail pharmacy for a 6-month contract with the opportunity for extension or conversion.

Summary:

The Walgreens Merchandise Planning Analytics team manages reporting, analysis, and tool building for the Walgreens Merchandising team. They support a team of 100+ merchants and 40+ planners to optimize performance of the Walgreens Front End (non-Pharmacy) businesses.

Work Environment:

  • 100% remote - must work in CST
  • 8am-5pm (9 hour day with one hour lunch break 12pm-1pm).
    • The hours can be flexible per above but minimally need 30 hours a week in order to fulfill the business needs

Responsibilities:

  • Own Brand (private label) reporting, recapping, tracking, and analysis, including ad-hoc analysis based on business needs
  • Item level historical analysis and recapping
  • Item level future looking forecast
  • Scope will be thousands of Own Brand items (at item level)
  • System/ tool used is Excel
  • Project will involve complex excel formulas and ability to synthesize large data sets into meaningful executive recaps

Top Must-Have Skills:

  • Bachelors Degree and at least 3-5 year of experience in one or more of the following: analytics, data science, finance, financial analysis, assortment planning, retail, procurement/purchasing, merchandising
  • Minimum 3 years experience in data analytics or other related field with strong understanding of retail merchandising basics (i.e. category management) and merchandising organization structures and processes
  • Outstanding analytical and problem-solving skills partnered with storytelling finesse
  • Ability to conduct complex quantitative analysis and build analytical models using Microsoft Excel
  • Ability to communicate effectively and succinctly both verbally and in writing via Microsoft PowerPoint
  • Ability to manage and prioritize multiple assignments and meet tight deadlines
  • Ability to develop effective working relationships with Merchandising, Planning, Finance and other stakeholders
  • Ability to work independently and adapt to changing work priorities
  • Retail math background; skills such as item level forecasting based on demand patterns or sell through/ sales/ profit goals, knowledge of sales by type and AUR impacts, all inventory and sales metrics
  • Intermediate/Advanced level skill in Microsoft Excel (for example: using SUM/SUMIFS, Subtotals, VLOOKUP, HLOOKUP, Macros, Pivot tables) - CRITICAL SKILL NEEDED FOR ROLE, most work will be done in excel
  • Intermediate level skill in Microsoft Word and PowerPoint

Top Nice-to-Have Skills:

  • MBA preferred; Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus
  • Data science experience
  • Retail experience
  • SQL Coding, Microsoft Access, Macro building

Education / Experience Requirements:

  • 3-5 year experience in Analytics or Data Science, Merchandising background