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Remote Data Jobs in Monroe, LA (NOW HIRING)

Meta

Community Engagement Manager

Rayville, LA · Remote

$153K/yr

... data center regions. Please note that this is a remote position available only to candidates based in El Paso, TX or Rayville, LA. Community Engagement Manager Responsibilities: * Create, maintain ...

Coast Professional, Inc.

Quality Control

West Monroe, LA · Remote

$19.93/hr

This is a remote opportunity that requires the employee to live within a 50-mile driving radius of ... Perform quality verification of template usage and data populated. * Perform administrative ...

Coast Professional

Quality Control

West Monroe, LA · Remote

$19.93/hr

This is a remote opportunity that requires the employee to live within a 50-mile driving radius of ... Perform quality verification of template usage and data populated. * Perform administrative ...

All JobsData JobsRemote Data JobsRemote Data Jobs in Monroe, LA

Remote Data information

See Monroe, LA salary details

$44.2K

$158.7K

$234.2K

How much do remote data jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data in Monroe, LA is $158,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Monroe, LA? The most popular types of Data jobs in Monroe, LA are:
What are popular job titles related to Remote Data jobs in Monroe, LA? For Remote Data jobs in Monroe, LA, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Monroe, LA look for? The top searched job categories for Remote Data jobs in Monroe, LA are:
What cities near Monroe, LA are hiring for Remote Data jobs? Cities near Monroe, LA with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Monroe, LA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $158,736 per year, or $76.3 per hour.
Data and AI Project Analyst

Data and AI Project Analyst

DPR Construction

Monroe, LA • On-site, Remote

Full-time

Posted 3 days ago

DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

21st of 80 rated construction

Job description

Job Description

Overview

The Data & AI Project Analyst serves as the field-facing connector between project teams, account leadership, owners/JV partners, and DPR's Technology & Innovation groups-translating business needs into scalable data, analytics, integration, and AI solutions. This role engages early to shape requirements, standardize approaches across projects, coordinate delivery with U.S. and offsite teams, and ensure all data sharing and AI use aligns with governance, legal, and contractual obligations. This is a jobsite-based role, which will require regular travel between all jobsites within a national account.

Data & Development

  • Engage early in pursuit and preconstruction to:
    • Identify owner-mandated technologies
    • Capture data requirements and reporting obligations
    • Surface integration needs and constraints
    • AI opportunity identification
  • Partner with:
    • Integration Managers
    • Account Leadership
    • Project Teams to align on scalable and repeatable approaches
    • Other Account leads
    • Other T&I Groups - (CT, IT, ETS)
  • Align project-level data needs with DPR's Data Strategy and enterprise standards, delivering consistent, flexible solutions that drive measurable impact across the account.
  • Translate business and project needs into clear data, analytics, and integration requirements.
  • This role is primarily field-based, with approximately 75% of time spent on active jobsites and limited opportunity for remote work. This includes participation in key meetings and workgroup meetings at the jobsite.
  • Align AI use cases with owner expectations and contract constraints
  • Advise on feasibility and value of AI-driven solutions

Data & Integration Enablement

  • Influence strategic technology decisions related to data, analytics, AI, and development.
  • Lead conversations with owners, JV partners, and stakeholders on data exchange approaches, including:
    • System access vs data sharing
    • File-based vs platform-based integrations
    • Reporting vs operational use cases
    • Guiding the team through custom analytics and development.
  • Responsible for coordination with Data Engineering, Solution Architecture, Analytics and offsite teams to:
    • Define integration approaches
    • Ensure feasibility and scalability, avoiding one-off or unsustainable solutions
    • Act as a Funnel for requests with US and Offsite teams
  • Manage UAT and QA/QC for deliverables, collaborating with U.S. and offsite teams to incorporate feedback, and own final production readiness and quality.
  • Drive data readiness and integration strategies to support scalable pipelines and enable effective consumption of predictive and generative AI models.
  • Support implementation of standardized data exchange frameworks and templates
  • Ensure all external data sharing aligns with data governance, legal, and contractual requirements
  • Provide hands-on support in analytics and Power BI, iterating on reports, making minor updates, and developing proof-of-concept solutions based on real-time user feedback.

Intake, Prioritization & Coordination

  • Act as the front door for data and development requests at the account level
  • Work with Data & Development Lead - Mega Projects for the prioritization across the accounts
  • Ensure requests are:
    • Clearly defined
    • Properly scoped
    • Prioritized based on business impact
  • Coordinate execution across:
    • Data Engineering
    • Data Analytics
    • AI/ML
    • Software Development
  • Add AI-specific intake criteria (value, risk, data readiness)
  • Prioritize AI initiatives alongside analytics and development work
  • Coordinate across AI/ML teams for model development and deployment
  • Track progress, manage expectations, and communicate updates to stakeholders
  • Escalate risks, conflicts, and capacity constraints when needed

Standardization & Reuse

  • Identify opportunities to:
    • Reuse existing dashboards, pipelines, and integrations
    • Avoid duplication across projects and accounts
  • Promote standardized approaches for:
    • Data mapping
    • Integration patterns
    • Reporting structures
    • Drive implementation of AI use cases by prioritizing reusable models, prompts, and workflows, and minimizing one-off, non-scalable solutions.
  • Contribute to the development of templates and best practices for mega projects.

Project Onboarding & Enablement

  • Support setup of new projects by:
    • Aligning on data requirements and integrations
    • Facilitating access to systems and tools
    • Coordinating onboarding workflows (data, analytics, reporting)
    • Work with Integration Managers to understand account-level and project-level technology stacks including:
      • DPR standard tools
      • Owner-mandated systems
      • JV partner systems
      • AI/ML tools, platforms, and model usage
      • Track approved vs non-approved AI technologies
      • Identify implications of introducing AI into project tech stacks
  • Partner with Integration Managers to deliver and support project landing pages, access management workflows, standardized setup processes, and effective analytics storytelling for project teams.
  • Facilitate rollout of dashboards and tools, including training and enablement for internal and external project teams for onboarding, access, and effective data usage.
  • Champion the use of existing tools and platforms across project teams to drive consistency and maximize value.
  • Assess the technology stack and identify deviations from standards, evaluating downstream impacts on data, development, AI, integrations, cost, and support.

Data Governance & Compliance

  • Ensure all data activities align with:
    • DPR data governance policies
    • NDA & Contractual obligations
    • Client data requirements
    • Ensure AI usage complies with client data restrictions and contracts
    • Align with AI governance policies (data privacy, model usage, vendor constraints)
  • Help define:
    • What data can be shared
    • How it can be used (internal vs external)
    • Where it should be stored (e.g., warehouse-first approach)
  • Support documentation of:
    • Data definitions
    • Data sources
    • Integration logic

Technical Skills

  • Working knowledge of Data and AI
    • Basic understanding of AI/ML and their capabilities
    • Data gathering and quality issues
    • Power BI
  • Business process and systems thinking
    • Map workflows and identify inefficiencies
    • Understand system dependencies
  • Support integration of AI into existing DPR workflows and systems, from adoption to deployment
  • Ability to assist with piloting AI and data solutions on projects, gather user feedback, identify adoption barriers, and refine workflows to ensure tools deliver real-world value.
  • Maintain a working knowledge of AI, data capabilities, and limitations to evaluate opportunities realistically. Ask critical questions about data availability, problem fit, and automation value while leveraging common tools such as dashboards and reporting platforms.

Qualifications

  • Minimum of 4 years of experience in a relevant data analytics/integration delivery role with a strong Power BI background and experience in the construction industry.
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Experience with mapping, documenting, and analyzing business workflows to identify inefficiencies and gaps.
  • Ability to translate ambiguous project team requests into clear, actionable use cases with defined data sources and success criteria.
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.
  • Experience working with or coordinating with overseas teams is a strong plus

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.


Working at DPR, you'll have the chance to try new things, explore paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.


Explore our open opportunities atwww.dpr.com/careers.

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