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ESG Data Analyst

O'Reilly Automotive Stores Springfield, MO

Springfield, MO

Today

Full time Cdp Data Data Analysis

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Job Description

Lead the collection, auditing, analysis, and reporting of ESG data to support accurate sustainability disclosures and greenhouse gas tracking.

Responsibilities

Collaborate cross-functionally to collect, organize, and analyze data needed for internal and external ESG reporting and disclosures
Define and implement a process to ensure timely, accurate ESG data collection for reporting
Update and maintain ESG data repositories
Perform ESG data audits for precision, quality, completeness, and audit readiness using quality assurance processes
Coordinate with third-party data assurance providers as necessary to support audit readiness
Identify and recommend best practices to improve quality, precision, accuracy, and data granularity
Work with consultants and third-party suppliers as necessary to execute continuous improvement
Calculate and track Scope 1, Scope 2, and Scope 3 greenhouse gas (GHG) emissions using GHG protocol standards
Partner with the ESG Director and ESG Reporting Manager to track progress toward GHG reduction targets for Scopes 1, 2, and 3
Support Energy Management Committee working groups to identify, implement, track, and measure energy reduction initiatives
Model energy savings and financial impact of initiatives to measure progress toward GHG reduction targets
Collaborate with the ESG Reporting Manager, ESG Reporting Committee, and other stakeholders to draft and submit internal and external ESG reporting and disclosures, including the annual Impact report and the Company’s CDP response
Provide project and initiative support for the ESG team, including benchmark analysis, market research, and other requested projects
Create guidance and support to provide meaningful insights and recommendations that influence decisions
Advise on ESG data reporting methodology, frameworks, and disclosure systems including GHG Protocol, CDP, TCFD, ISSB, and SBTi
Track and stay current with evolving guidance and reporting requirements
Build and maintain data visualizations, models, and dashboards to communicate sustainability performance and meet business needs
Complete all other duties as assigned

Requirements

Bachelor’s degree or certificate in a relevant field such as Data/Computer Science, Management Information Systems, Accounting, Finance, Economics, Statistics, etc.
Advanced Microsoft Excel skills, including retrieving and manipulating data using Microsoft Query, formulas, pivot tables, and macros
Experience with data management, analysis, and visualization
Scripting experience with tools such as SQL, Python, or R (R or Python preferred)
Experience with at least one object oriented statistical language (for example R or Python) and working with structured and unstructured databases
Analytical skills with experience in data manipulation and statistical analysis
Proficiency in Microsoft Office Suite (Word, PowerPoint, Outlook)
Ability to communicate effectively with various levels of the organization
Strong time management skills, managing multiple projects with different objectives, milestones, and deliverables

Preferred / Desired

2-3 years of relevant professional experience
Knowledge of GHG Protocol Corporate Standard
Familiarity with ESG reporting frameworks such as CDP, TCFD, and SBTi
Experience in carbon accounting, including GHG inventory development
Experience translating GHG emissions findings into actionable recommendations for target setting and decarbonization

Technologies

Microsoft Excel, Microsoft Query
SQL
Python, R
Pivot tables, macros
Microsoft Office Suite (Word, PowerPoint, Outlook)
GHG Protocol, CDP, TCFD, ISSB, SBTi

Benefits

Competitive Wages & Paid Time Off
Stock Purchase Plan & 401k with Employer Contributions Starting Day One
Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
Team Member Health/Wellbeing Programs
Tuition Educational Assistance Programs
Opportunities for Career Growth

Location: Springfield, MO (onsite)

Compensation Package: Competitive Wages & Paid Time Off; Stock Purchase Plan & 401k with Employer Contributions Starting Day One; Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA); Team Member Health/Wellbeing Programs; Tuition Educational Assistance Programs; Opportunities for Career Growth

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Data Analyst - Philanthropy

Carle Health Champaign, IL

Champaign, IL

Today

$27 - $46/hr Full time Analytics Business Analytics Business Intelligence

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Job Description

The Center for Philanthropy at Carle Health is seeking a Philanthropy Analyst to convert fundraising and donor information into actionable analytics for decision-making.

Responsibilities

Build and maintain dashboards, reports, and analytics covering fundraising performance, donor engagement, portfolio activity, and campaign outcomes
Assess giving trends, donor behavior, and campaign effectiveness to surface opportunities and support strategy
Contribute to forecasting, goal setting, KPI development, and performance measurement
Produce reporting for leadership and board presentations, including benchmark reporting and strategic planning initiatives
Support AHP benchmarking and philanthropy performance analysis
Act as a subject matter expert for the Center for Philanthropy donor database and related technologies
Develop and maintain database standards, workflows, and best practices
Monitor and improve data quality, consistency, and integrity across systems
Support data governance initiatives and operational consistency across regions and programs
Identify automation and technology opportunities to simplify workflows and improve user experience
Lead technical projects from planning and testing through implementation, training, and rollout
Stay current on evolving technology solutions and recommend enhancements when appropriate
Partner with vendors, consultants, and technology providers to maximize system capabilities and data flow

Requirements

Strong analytical, problem-solving, and critical-thinking skills
Ability to translate data into actionable insights and recommendations
Experience with CRM systems and data management best practices
Organizational and project management skills
Capability to manage multiple priorities and deadlines at the same time
Commitment to accuracy, consistency, and continuous improvement
Strong communication and collaboration skills
Experience with PowerBI
Experience with donor databases, reporting platforms, and analytics tools; Raiser's Edge preferred

Technology Stack

PowerBI
Raiser's Edge

Education

Bachelor's Degree

Benefits

Comprehensive benefits package for team members and providers

Why this role matters: Fundraising strategy, donor relationships, campaign execution, and stewardship depend on reliable data and meaningful insights. This role supports the Center for Philanthropy with the information, tools, and processes needed to make informed decisions, strengthen donor engagement, and maximize philanthropic impact.

Role location & compensation: Champaign, IL (onsite). USD 27 - 46 per hour.

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Data Analyst

MOODY NEURO REHABILITATION INSTITUTE Houston, TX

Houston, TX

Today

Full time Marketing Analytical Skills Analytics

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Job Description

The MOODY NEURO REHABILITATION INSTITUTE is seeking a Data Analyst to strengthen reporting, system functionality, and compliance through accurate data collection, extraction, and analysis. This onsite role in Houston, TX will support leadership with recurring reports and dashboards while helping troubleshoot issues and improve workflows across the organization.

What you’ll do

Generate a billing correction error report and deliver it to leadership at each site.
Create Incomplete Visit and Unapproved Visit reports for delivery to leadership at each site.
Oversee CRS report creation for the billing team at the end of each month after billing corrections have been made.
Lead data collection and extraction activities to support reporting accuracy.
Assist with troubleshooting and form creation in Credible BI.
Automate recurring emails, reports, and other processes using Power Automate and Credible BI.
Lead organization-wide report and dashboard development and organization.
Collaborate with organizational leaders to identify process improvement opportunities and support action plans.
Design, maintain, and optimize data reports using SQL queries.
Apply analysis and design techniques that use information technology to address business problems.
Manage integration and migration of systems.
Develop and maintain internal policy systems using Microsoft Suite.
Prepare executive leadership reports that communicate trends, patterns, and predictions using relevant data aligned to organizational KPIs.
Collaborate with leadership on system modifications and data governance policy development while protecting the confidentiality and integrity of Moody Neuro policies, processes, and systems.

Required skills and qualifications

Knowledge of multiple operational functions and principles, including information technology, finance, operations, and customer service.
Ability to collaborate by building relationships and credibility with key partners across the organization.
Proficiency with Microsoft Suite, including Power Automate, Power Apps, SharePoint, and Power BI.
Reporting and data visualization skills using business intelligence tools such as Power BI or Tableau.
Strong understanding of healthcare operations, CARF, and HIPAA regulations.
Strong written and verbal communication skills.
Ability to organize and prioritize time efficiently across multiple departments.
Ability to perform job tasks within the organization’s procedural structure.
Strong working knowledge of data analysis and performance metrics using business management software (e.g., Salesforce, CRM, Paycom, Litmos, Microsoft PowerApps).
Intermediate proficiency with MS Excel (Macros, Pivot Tables, VLOOKUP, etc.).

Technology tools

Power Automate
Power Apps
SharePoint
Power BI
Tableau
Credible BI
SQL
Microsoft Suite
MS Excel
Salesforce
CRM
Paycom
Litmos
Microsoft PowerApps

Education and experience

Minimum: Bachelor’s degree required in Computer Science or Health Informatics.
Preferred: Master’s degree in Computer Science, Health Informatics, Business Administration, or a related field.
Experience: Prefer 1 year of related experience (minimum stated: 1 years).

Physical requirement

Individuals in administrative roles are required to lift items independently up to 20 pounds.

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Senior Data Analyst

Dell Medical School Austin, TX

Austin, TX

Today

$90k+/yr Full time Senior Advanced Analytics Business Analytics

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Job Description

Senior-level individual contributor role focused on advanced healthcare analytics and strategic decision support across clinical, operational, and financial domains.

Responsibilities

Analyze data using standard statistical tools, methods, and techniques; interpret results to identify significant differences and trends.
Design and execute advanced statistical models and predictive analytics.
Translate complex business problems into analytical frameworks.
Synthesize, process, and analyze large datasets to uncover actionable insights.
Present findings to senior leadership and governance committees.
Develop and maintain dashboards and scorecards.
Standardize KPIs and reporting methodologies across departments.
Automate enterprise-level reporting processes.
Create data visualizations that are intuitive, accurate, and aligned with strategic goals.
Collaborate with IT to optimize reporting infrastructure.
Develop and implement databases, data collection systems, and analytics strategies to improve statistical efficiency and data quality.
Lead integration of disparate data sources, including EHR, claims, financial, and operational systems.
Assist in defining, developing, and implementing data standards and data quality measures.
Conceptualize, create, and maintain operational and research data models for visualization and statistical analysis.
Establish and maintain standard work procedures governing appropriate use of data.
Serve as a trusted advisor to clinical and administrative leaders.
Consult with internal and external customers (faculty and staff) to identify user needs and clarify data requirements.
Provide guidance and interpretation of complex systems and data.
Facilitate data strategy sessions and requirements gathering workshops; build consensus around data definitions and usage.
Mentor junior and mid-level analysts through technical and professional development.
Document data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
Evaluate and pilot emerging analytics tools and methodologies; research and stay current with new technologies and data analysis trends.
Lead analytics communities of practice and training sessions.
Contribute to scholarly activity; participate in strategic planning and digital transformation initiatives.
Support grant-funded research and academic collaborations; represent the organization at industry conferences and professional forums.
Lead post-implementation reviews of analytics projects.
Contribute to vendor evaluations and procurement of analytics tools.
Align analytics with long-term organizational goals; anticipate data needs for emerging initiatives.
Advise leadership on strategic risks and opportunities; navigate unclear or evolving data requirements.
Make sound decisions with incomplete information; adapt analysis to shifting priorities.
Support data-driven decision-making by gaining buy-in for analytics initiatives; communicate complex findings to diverse audiences.
Master new analytics tools and platforms; apply advanced statistical and machine learning techniques.
Pilot new technologies for data processing, data generation (e.g., Synthetic), and analysis; encourage experimentation and learning.
Identify opportunities for automation and AI.
Lead cross-functional analytics teams; share knowledge and build analytics capacity.
Support enterprise-wide data initiatives.

Requirements

Bachelor’s degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field with at least 5 years of experience in healthcare analytics or data science.
Skilled in large-scale data analysis, data processing, and data technology.
Skilled with one or more industry data models and standards (e.g., OMOP, FHIR, DICOM).
Experience with advanced analytics tools, data visualizations, and cloud data environments (e.g., Azure, Google AWS).
Relevant education may substitute for experience on a year-for-year basis.

Technologies

Viewpoint
OMOP
FHIR
DICOM
Azure
Google AWS

Preferred Qualifications

Master’s degree in a quantitative or healthcare-related field with at least 7 years of experience in a complex healthcare environment.

Licenses, Certifications

Required: None
Preferred: Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)

Location

Austin, TX (onsite)

Salary

USD 89,800 per year, plus additional amount depending on qualifications

Working Conditions

Standard office equipment
Repetitive use of a keyboard
May be exposed to occupational hazards including communicable diseases, blood-borne pathogens, ionizing and non-ionizing radiation, hazardous medications, and disoriented or combative patients

Required Application Materials

Resume/CV
3 work references with contact information (at least one reference should be from a supervisor)
Letter of interest

Application Instructions

Applicants not currently employed by the university or contingent workers: you will be prompted to submit your resume the first time you apply; for subsequent applications, you can upload a new Resume.
Additional required materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you can multi-select additional files.
Before submitting, ensure all required materials have been uploaded.
After submission, you cannot make changes.
Current university employees or contingent workers: you MUST apply within Workday by searching for “Find UT Jobs”.
Current university employees: log in to Workday, navigate to your Worker Profile, click the Career link, and update your Professional Profile before applying.
The application is one page and you will be prompted to upload your resume.
You must respond to application questions to upload additional required materials (letter of interest, references, etc.).

Texas Executive Order (GA-48)

For positions that research, work on, or have access to critical infrastructure as defined in Section 117.001(2), Business and Commerce Code, both candidates and employees must have the ability to maintain the security or integrity of the infrastructure.

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Data Analyst

CGI Group, Inc. Arlington, VA

Arlington, VA

Today

$71k - $172k/yr Full time Azure Synapse Analytics Business Analytics Business Intelligence

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Job Description

CGI Group, Inc. is hiring a Data Analyst to support insight delivery in a fast-paced, agile environment. In this onsite role in Arlington, VA, you will work with large datasets and modern analytics tools, while maintaining the required Secret clearance throughout the project.

The position focuses on analyzing and validating data in cloud environments, building reliable datasets for reporting, and creating dashboards and visualizations that help both business and technical stakeholders make informed decisions.

Responsibilities

Analyze, profile, and validate datasets stored in cloud environments to support reporting, dashboarding, and analytical use cases.
Use Databricks and Azure Synapse Analytics to prepare, transform, and curate datasets for downstream analytics and self-service BI.
Develop dashboards and visualizations using leading BI tools to support decision-making across business and technical stakeholders.
Partner with clients to understand analytical needs, document business requirements, and translate them into data solutions.
Write optimized SQL queries and analytical logic across Databricks SQL, Synapse SQL, and cloud databases.
Perform data validation, testing, and reconciliation to ensure accuracy, completeness, and reliability of delivered insights.
Work closely with data engineers to align analytic datasets with data models, ingestion pipelines, and data governance structures.
Create and maintain documentation for datasets, business rules, KPIs, and reporting processes.

Requirements

Bachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Economics, or a related field.
24 years of experience in data analysis, BI development, and reporting.
An interim Secret clearance is required to begin working onsite in Arlington, VA, and a Secret clearance must be maintained throughout the project duration.
Proficiency in SQL for analytics and data querying.
2+ years of experience working on Analytics and Business Intelligence focused initiatives.
2+ years of experience working with self-service business intelligence tools, specifically Power BI.
Understanding of modern UI style frameworks and design systems to ensure consistency and usability in analytics solutions.
Familiarity with SQL analytics or notebook-based analysis.
1+ years of experience using Python or R to build statistical models or analyze data within a distributed computing environment.
Understanding of data modeling, KPI definitions, and analytic dataset structures.
Ability to work with large datasets and distributed data systems.
Strong analytical thinking and problem-solving abilities.
Clear communication skills to convey insights to nontechnical audiences.
Ability to manage priorities in a fast-paced, collaborative environment.

Technologies

Databricks
Azure Synapse Analytics
Databricks SQL
Synapse SQL
SQL
Power BI
Python
R

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and well-being programs

Location: Arlington, VA (onsite). Compensation: USD 70,800 - 172,400 per year.

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Lead Data Analyst

Disney Entertainment and ESPN Product & Technology New York, NY

New York, NY

Today

$142k - $208k/yr Full time Manager Analytics Business Analytics

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Job Description

Lead Data Analyst role supporting Disney+ and Hulu personalization strategy within the Product & Technology Analytics team.

Responsibilities

Own large-scale analyses of product performance and user behavior, applying statistical modeling, experimentation, and causal inference to surface opportunities and shape product strategy.
Drive personalization experiment design and execution, covering power analysis, metric selection, SQL/Python analysis, interpretation, and stakeholder recommendations.
Partner with product and data engineering teams to improve data quality, build scalable datasets, and instrument new product features for dependable analysis and reporting.
Use and help advance AI-assisted analytics tools and workflows to increase speed, scale, and quality of analysis.
Investigate product issues and analyze user behavior, rapidly answering complex business and product questions using large datasets.

Requirements

Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or another technical field.
7+ years of data analytics experience, including 3+ years in a senior or lead-level capacity.
Advanced SQL and Python skills, including complex analysis on large datasets, notebook-based workflows, and scheduled analytical jobs.
Advanced knowledge of experimentation and statistical analysis, including hypothesis testing, power analysis, metric selection, regression, causal inference, test design, and interpretation.
Product analytics experience, including user behavior analysis, funnels, engagement, and feature performance.
Experience building analyses, dashboards, and visualizations in Looker, Tableau, or a comparable BI platform.
Proven ability to lead end-to-end analytical projects: define requirements, manage timelines, collaborate with data engineering, and deliver strategic outcomes.
Strategic communication skills to translate complex findings into clear recommendations for technical, business, and executive audiences.
Experience building or applying AI-assisted analytics tools and workflows.

Preferred Qualifications

Background in streaming media or subscription-based products.
Advanced knowledge of Looker.
Proven ability to manage projects that require new datasets, collaborating with data engineering teams to improve data quality and build foundational datasets for scalable analysis.
Master’s degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or another technical field.

Tech

SQL
Python
Looker
Tableau

Location & Compensation

Location: New York, NY (onsite)
Salary: USD 141,900 - 208,400 per year

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Sr. Machine Learning Engineer

AppFolio Inc Atlanta, GA

Atlanta, GA

Today

$167k - $230k/yr Full time Agentic Ai Platform Ai Agent Platform Ai Agent Systems

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Job Description

AppFolio is hiring a Senior Machine Learning Engineer to design and ship production voice and conversational AI agents in its Realm-X AI-native platform.

Responsibilities

Architect and ship voice and text agent pipelines for real-time, multi-turn customer interactions.
Make principled reasoning depth vs. latency trade-offs across frontier LLMs, smaller models, and routing strategies.
Lead a small pod of ML and platform engineers; improve agent evaluation, observability, and incident response.
Partner with Product and Voice channel teams to define KPIs, build eval harnesses, and establish acceptance criteria for agent quality.
Drive selective Small Language Model (SLM) fine-tuning and inference optimization to improve voice latency and cost.
Apply agent and voice research to reliable, low-latency, multi-channel experiences that scale across the customer base.

Requirements

5+ years of experience developing and scaling web-based applications, ideally in SaaS environments.
Shipped production AI agents serving real users in voice and/or text channels.
Think in pipelines and systems, not only models.
Maintain strong engineering judgment.
Demonstrate humble, collaborative, low-ego behaviors and elevate peers.
Value work-life balance as a foundation for sustained high performance.
Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understand trade-offs between end-to-end voice models and modular STT + LLM TTS architectures.
Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
Production experience with Twilio (or comparable telephony) and AWS.
Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
Solid foundation in deep learning, model evaluation, and inference optimization; deploy with Docker on AWS.
Proven ability to lead a small team, mentor engineers, and partner credibly with Product and Design.

Technologies

Python, async programming, WebSockets
LangChain, LangGraph, LangSmith, LangChain Deep Agents
Voice-to-Voice models, TTS, STT
LLM, Small Language Models (SLM)
Twilio, AWS, Docker
Real-time, bidirectional streaming

Nice to Have

Bachelor’s, Master’s, or Ph.D. in Computer Science or related technical discipline.
Experience fine-tuning Small Language Models for domain-specific voice applications.
Familiarity with RAG over structured business data and tool-using agents over API surfaces.
Prior experience in regulated or customer-facing industries with strict reliability requirements.
Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.

Location

Atlanta, GA (onsite)
Find out more about locations by visiting the site.
All late-stage candidates complete an in-person meeting with an AppFolian as part of the hiring process.

Compensation & Benefits

Base pay: $167,200 - $229,900 per year
Actual compensation depends on skills, education, experience, and internal equity.
Regular full-time employees are eligible for benefits (see here).