2

Remote Construction Data Analytics Jobs in Baton Rouge, LA

Microsoft Excel Tutor

Baton Rouge, LA ยท Remote

$18 - $40/hr

Skilled at teaching formula construction, data organization, and analytical dashboard creation in Excel. Guides students through building complex formulas, creating and customizing pivot tables ...

... remote candidates will be considered and are encouraged to apply. The ideal candidate is experienced, self-motivated, and adept in handling a wide range of business analysis and data-related tasks.

Business Analyst 24+ Months contract, (Remote) Baton Rouge, LA The scope of the proposed services ... data visualization, especially for external audiences

New

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

next page

Showing results 1-20

Remote Construction Data Analytics information

See Baton Rouge, LA salary details

$23

$52

$90

How much do remote construction data analytics jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote construction data analytics in Baton Rouge, LA is $52.57, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $59.57 per hour, depending on experience, location, and employer.

What is remote construction data analytics?

Remote construction data analytics involves collecting, processing, and analyzing data from construction projects without being physically present on-site. Professionals in this field use digital tools and software to monitor project progress, track equipment and materials, and identify trends or issues from a distance. This approach helps optimize decision-making, improve project efficiency, and reduce costs by leveraging real-time data and insights. Remote analytics are increasingly important as construction companies adopt more technology-driven methods.

What are some common challenges faced by professionals in remote construction data analytics, and how can they be addressed?

Professionals in remote construction data analytics often encounter challenges such as data inconsistency from multiple sources, limited real-time access to on-site information, and effective communication with field teams. To address these, it's important to establish standardized data collection protocols, leverage cloud-based tools for real-time data sharing, and maintain regular virtual meetings with project stakeholders. Building strong relationships with both technical and construction teams also helps ensure that analytics insights are actionable and relevant to on-site operations.

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

To thrive as a Remote Construction Data Analytics professional, you need a strong background in data analysis, construction management principles, and a relevant degree such as construction engineering, data science, or a related field. Familiarity with analytics tools like Power BI, Tableau, SQL, and construction management systems such as Procore or Autodesk BIM 360 is typically required. Excellent communication, problem-solving, and attention to detail are soft skills that help translate complex data insights to project stakeholders. These skills ensure accurate, actionable analytics that drive efficiency, cost savings, and informed decision-making in construction projects.

What is the difference between Remote Construction Data Analytics vs Remote Construction Project Coordinator?

AspectRemote Construction Data AnalyticsRemote Construction Project Coordinator
Required CredentialsData analysis certifications, technical skills in analytics toolsProject management certifications, communication skills
Work EnvironmentData-focused, analytical tasks, software toolsCoordination, communication, scheduling
Industry UsageAnalyzing construction data, improving efficiencyManaging project timelines, liaising with teams

Remote Construction Data Analytics focuses on analyzing construction data to optimize processes, requiring technical and analytical skills. In contrast, Remote Construction Project Coordinators handle project schedules and team communication. Both roles are essential in construction but differ in daily tasks and skill sets.

What are the most commonly searched types of Construction Data Analytics jobs in Baton Rouge, LA? The most popular types of Construction Data Analytics jobs in Baton Rouge, LA are:
What are popular job titles related to Remote Construction Data Analytics jobs in Baton Rouge, LA? For Remote Construction Data Analytics jobs in Baton Rouge, LA, the most frequently searched job titles are:
What cities near Baton Rouge, LA are hiring for Remote Construction Data Analytics jobs? Cities near Baton Rouge, LA with the most Remote Construction Data Analytics job openings:
Senior Healthcare Informatics Analyst

Senior Healthcare Informatics Analyst

Strategic Staffing Solutions

Baton Rouge, LA โ€ข Remote

$50/hr

Other

Re-posted 18 days ago


Job description

Job Description Senior Healthcare Informatics Analyst Location: Remote (Louisiana Preferred) Duration: 6-Month Contract Pay Rate: Up to $50/hour Overview We are seeking a Senior Healthcare Informatics Analyst to support advanced healthcare analytics initiatives focused on improving healthcare quality, outcomes, utilization, and cost management. This role will leverage predictive modeling, outcomes research, machine learning, and healthcare data analytics to provide actionable insights that drive strategic business decisions. The ideal candidate will have strong experience in Healthcare Economics and Outcomes Research (HEOR), predictive analytics, healthcare data modeling, and payer/provider healthcare environments.

Key Responsibilities Analyze healthcare data to improve patient outcomes, utilization, quality, and cost efficiency. Develop predictive models and advanced analytic solutions to support business and clinical initiatives. Perform healthcare economics and outcomes research using large healthcare datasets.

Design and execute descriptive, predictive, and statistical analyses. Translate business problems into data-driven solutions and actionable recommendations. Collaborate with business, clinical, actuarial, finance, and technology teams to support strategic decision-making.

Validate data quality, accuracy, completeness, and consistency across analytical deliverables. Develop reporting, dashboards, and analytical frameworks that support operational and strategic initiatives. Serve as a subject matter expert on healthcare analytics methodologies and outcomes measurement.

Present complex analytical findings to both technical and non-technical stakeholders. Required Qualifications Education Bachelor's degree in Healthcare Administration, Statistics, Economics, Computer Science, Finance, Analytics, or another quantitative discipline. Equivalent experience may be considered in lieu of degree requirements.

Experience 4+ years of healthcare analytics, healthcare informatics, healthcare consulting, or related experience. Experience building predictive models and advanced analytical solutions. Experience working with healthcare payer and/or provider data environments.

Strong understanding of the U.S. healthcare delivery system. Technical Skills SQL SAS Python R Tableau Analytical Skills Predictive Modeling Healthcare Analytics Data Mining Statistical Analysis Machine Learning Outcomes Research Big Data Analytics Preferred Qualifications Strong experience in Healthcare Economics and Outcomes Research (HEOR)

Experience with SAS Enterprise Miner. Experience supporting population health management initiatives. Knowledge of provider reimbursement and payment methodologies.

Experience with risk adjustment models and methodologies. Familiarity with healthcare quality and performance measures. Clinical & Healthcare Analytics Knowledge HCC DxCG DRG APC ETG MEG HEDIS AHRQ Statistical & Machine Learning Methods Linear Regression Logistic Regression Polynomial Regression Decision Trees Cluster Analysis Time Series Analysis Support Vector Machines Ensemble Models Unstructured Data Mining Ideal Candidate Profile Deep expertise in healthcare analytics and outcomes research.

Strong background in predictive modeling and healthcare data science. Experience translating complex healthcare data into business insights. Ability to communicate analytical findings to executive and operational stakeholders.

Comfortable working independently while collaborating across multiple business functions. Experience supporting payer, managed care, population health, risk adjustment, or value-based care initiatives. Key Areas of Focus Healthcare Economics & Outcomes Research (HEOR) Predictive Analytics Population Health Provider Performance Analytics Risk Adjustment Medical Cost Management Quality Measurement Healthcare Utilization Analytics Patient Outcomes Analysis Healthcare Data Strategy and Decision Support.