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Overnight Remote Data Analyst Jobs in Texas (NOW HIRING)

Data Analyst Location: Houston- onsite 4 days per week & Friday remote Long term- Contract to hire Interview Process: 2 rounds Rough notes from manager: * WM (they like to be called WM, they are ...

Data Analyst

Austin, TX · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Professional remote office environment. * Must be physically and mentally able to perform duties ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Remote Work and Education Stipend * Truvani Monthly Store Credit * Position is available ...

Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working ... This position is ideal for someone who has the right mix of data analysis, curiosity, and ...

Retail Data Analyst

Dallas, TX · Remote

$85K - $105K/yr

Job ID: 1753645 Earn $85,000 - $105,000 a year - Fully Remote Position We're looking for a data expert who speaks the language of retail! ShelfOptix is hiring a Retail Data Analyst to translate ...

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Overnight Remote Data Analyst information

What are the key skills and qualifications needed to thrive as an Overnight Remote Data Analyst, and why are they important?

To thrive as an Overnight Remote Data Analyst, you need strong analytical skills, proficiency in statistical methods, and a relevant degree such as in data science, mathematics, or a related field. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau, along with experience using remote collaboration systems, is typically required. Attention to detail, self-motivation, and effective written communication are crucial soft skills for succeeding in an independent, asynchronous work environment. These abilities ensure accurate data-driven insights, timely reporting, and reliable collaboration across global teams.

What are the unique challenges faced by overnight remote data analysts, and how can they effectively manage their workload and communication with daytime teams?

Overnight remote data analysts often work with limited real-time supervision and may encounter challenges such as delayed feedback, asynchronous communication, and adjusting to different time zones. To manage these challenges, it's important to establish clear handover procedures, use collaborative tools for documentation, and proactively communicate progress and roadblocks to daytime colleagues. Many organizations also encourage regular check-ins or scheduled overlap hours to ensure alignment and maintain team cohesion. Embracing these practices helps overnight analysts stay connected and productive, despite working non-traditional hours.

What does an Overnight Remote Data Analyst do?

An Overnight Remote Data Analyst is responsible for analyzing and interpreting data during nighttime hours, typically outside of regular business hours. This role involves collecting, cleaning, and processing data, generating reports, and providing insights to help organizations make data-driven decisions. Working remotely allows analysts to perform these tasks from anywhere, enabling companies to have 24/7 data coverage and faster turnaround on data projects. Key responsibilities may also include monitoring data pipelines, troubleshooting issues, and ensuring data quality throughout the night.

What is the difference between Overnight Remote Data Analyst vs Night Shift Data Analyst?

AspectOvernight Remote Data AnalystNight Shift Data Analyst
Work EnvironmentRemote, working overnight hoursOn-site or remote, working overnight hours
CredentialsTypically requires a degree in data analysis, statistics, or related fieldSimilar credentials, often with experience in data tools
Employer & IndustryTech, finance, healthcare companies with 24/7 operationsManufacturing, customer service, or healthcare sectors with night shifts

The main difference is that the Overnight Remote Data Analyst works exclusively from home during overnight hours, while the Night Shift Data Analyst may work on-site or remotely during night shifts. Both roles require similar skills and credentials, but their work environments and industry applications can differ.

What are the most commonly searched types of Remote Data Analyst jobs in Texas? The most popular types of Remote Data Analyst jobs in Texas are:
What job categories do people searching Overnight Remote Data Analyst jobs in Texas look for? The top searched job categories for Overnight Remote Data Analyst jobs in Texas are:
What cities in Texas are hiring for Overnight Remote Data Analyst jobs? Cities in Texas with the most Overnight Remote Data Analyst job openings:
Infographic showing various Overnight Remote Data Analyst job openings in Texas as of May 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Data Analyst

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Job description

Role: Data Analyst
Location: Houston- onsite 4 days per week & Friday remote
Long term- Contract to hire
Interview Process: 2 rounds
Rough notes from manager:
  • WM (they like to be called WM, they are REMARKETING FROM ONLY being called WASTE MANAGEMENT )
  • working BUSINESS GROUP, DOING POC, PILOTS, WORKING W/TECHNICAL TEAM AND BUSINESS, (EX:WHAT IF WE MOVE INTO POWERAPPS, THEY EXPERIEMENT, WITHIN DIGITAL ORGANIZATION)
  • 2 OPENINGS
  • THIS PERSON WILL SUPPORT OPERATIONS SIDE, ROUND NAVIGATOR APPS ( ROUTES DRIVERS TAKE) , NOT JUST WORKING ON 1 PROJECT, BROAD ROADMAP, THEY ARE VERY PROACTIVE, HOW TO MAKE DATA ACCESSIBLE TO THE ( BUSINESS ANALYST AND DATA , LOOK AT THE BUSINESS PROBLEM ) - MULE BETWEEN BUSINESS AND IT , COMMUNICATION SKILLS, TALK WITH STAKEHOLDERS
  • MAYBE WRITING USER STORIES 60 DATA /40 BUSINESS%
  • MID LEVEL ( 4-8 YEARS )
  • WANT TO BRING ON FULL TIME ( 2-3 YEARS) CONVERSION AFTER EOY

Business/Product line: Business Optimization
Advantage(A/B, GTW, SOW): B
60/40- business vs data
• Why is the role open? Additional resources needed
• Project info/background:
o Not tied to a specific project
o Going to be a part of all data collection projects for WM
o Going to be doing multiple things, ideally would like a variety of experience
o They may get 10 requests a week, need someone to organize and prioritize- mostly getting requests from the business side
• Future:
o Long term they would role into (Business Product Owner)- thinking in like 2-3 years
Education or Certifications: -
• Level of experience: Mid Level type resource
• Domain/Industry experience: -
Top must-have technologies/requirements:
• Business Analyst with data experience- working with users
o Will be writing user stories
o Working on POCs/Pilots
• Data Governance
• Data Management
• Atlan- Data Catalog tool- would like Data lineage/catalog experience
• Will be interacting with field a lot as well as stakeholders
• Fabric is a nice to have- in process of implementing
• Data Visualization
• SQL Skills- just writing and reading queries
• They use Snowflake and TOAD
• PowerBI
Job Summary
We are seeking a highly skilled and motivated Data Analyst to join our team. The ideal candidate will assist with strategic data management, data governance, data mapping, and maximize usability and accessibility across the organization. This role is crucial for ensuring that our data is accurate, complete and consistent, as well as ensuring data literacy which will drive better business outcomes.
II. Essential Duties and Responsibilities include the following. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other minor duties may be assigned.
• Assist in the development and implementation of data management strategies to ensure data quality and integrity.
• Support data governance initiatives to maintain data accuracy, consistency, and compliance with regulatory requirements.
• Perform data mapping to ensure seamless integration and interoperability of data across various systems.
• Collaborate with cross-functional teams to democratize data, making it accessible and usable for decision-making processes.
• Conduct data analysis POC to identify trends, patterns, and insights that can inform business strategies.
• Develop and maintain data documentation, including data dictionaries/catalog, metadata, and data lineage. This will also include artifacts for user support like Job Aids, Training videos, etc.
• Provide training and support to team members on data-related tools and best practices.
• Utilize data to uncover opportunities and spark new ideas during the ideation phase.
• Assist in defining, project objectives, success criteria, and key performance indicators (KPIs)
III. Supervisory Responsibilities
No supervisory skills are required in this job.
IV. Qualifications
A. Education and Experience
• Bachelor's degree in data science, computer science, information systems, or a related field.
• Proven experience in data analysis, data management, and data governance.
• Experience with data catalog tools and metadata management.
• Proficient with Snowflake, Atlan & MS Fabric (Preferred)
• Strong knowledge of data mapping techniques and tools.
• Proficiency in data visualization tools (Power BI) and SQL, in addition to MS Office.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Knowledge of data privacy regulations and compliance standards.
B. Certificates, Licenses, Registrations or Other Requirements
C. Other Knowledge, Skills or Abilities Required
• Strategic Data Management: Strategic approach to data management, including defining rules for identifying "outdated" or "duplicate" data and leveraging tools to enforce these rules
• Automation Tools: Experience with automation tools and technologies to streamline data hygiene processes, such as automated data validation and cleanup
• Data Management and Governance: Understanding of data governance principles and the ability to implement data management frameworks to ensure data quality and compliance
• Process Mapping and Data Mapping: Research and collaborate with cross-functional teams to understand and document current data flow processes that drive operational outcomes, as well as ideate and deploy future-facing outcomes.
• Optimization Recommendations: Based on Data Collection and Analysis results, develop recommendations for optimizing data flow to improve efficiency, reduce waste, drive data maturity across a value chain, and enhance overall performance.
• Collaborative Implementation: Work closely with stakeholders from different departments to implement recommended process improvements. Collaborate with team members to ensure smooth implementation and monitor performance post-implementation.
• SQL and Relational Databases: Ability to extract and manipulate data using SQL. Knowledge of joins, aggregations, macros and functions is essential.
• Analytical Thinking: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Communication: Exceptional verbal and written communication skills, capable of conveying complex information in an accessible manner. Must have keen audience awareness to be brief for executive audiences and communicate meaningfully where non-technical parties need visibility.
V. Work Environment
Listed below are key points regarding environmental demands and work environment of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
• Required to use motor coordination with finger dexterity (such as keyboarding, machine operation, etc.) most of the workday.
• Required to exert physical effort in handling objects less than 30 pounds rarely.
• Required to be exposed to physical occupational risks (such as cuts, burns, exposure to toxic chemicals, etc.) rarely.
• Required to be exposed to physical environment which involves dirt, odors, noise, weather extremes or similar elements rarely.
• Normal setting for this job is: office setting.