Data science internship jobs in Redan, GA

Tremendous opportunity for a GIS Analyst to join a stable company making big strides in their industry. This is focused on the engineering side of the business! You will be able to gain experience in this critical technical role in the creation and support of critical feature data. You will answer ongoing questions and inquiries, generate new geospatial data, and provide flexible GIS service. Regular inventory analysis showing counts, mileage, and measurements of the system is anticipated. You will also directly perform geospatial data preparation and assemblage tasks.This technical role requires that you have a broad geographic understanding, the ability to correctly interpret geometrics and feature placement information received from the field, and a general understanding of the installation and maintenance activities undertaken by the Engineering Department sub-groups. Responsibilities: Perform and be responsible for the creation, modification, and quality control of essential geospatial infrastructure data for company wide use for a variety of critical applications, including the analysis and assembly of geospatial data utilized to assist PTC compliance. Utilize their practical knowledge to ensure field generated spatial data from various sources is properly converted into a functioning theoretical digital network compliant with the database and data model standards established for systems. Authorized to perform quality control checks, accept, and promote geospatial data change sets that are produced by the Geospatial Data Group's CADD technicians. Utilize a variety of GIS software tools to perform topology corrections and make geometric modification as part of the data quality review and acceptance process. Called upon to work with other involved groups and departments in a collaborative manner to fully utilize the technical skill sets of the Geospatial Data Group toward the Enterprise GIS goals. Assist the Sr. Geospatial Data Analyst with assorted GIS responsibilities as required per business needs. Leverage the company's investment in geospatial technology to generate value and identify cost savings using GIS technology. This is a 12 month contract position working out of our office in Midtown Atlanta 4 Days a week with 1 day remote. Our new office is state of the art with many amenities (gym, coffee shop, cafeteria, etc.) and paid parking. This is an excellent opportunity to work within an enterprise environment and an outstanding work-life balance. REQUIRED: 3+ years experience working with Data in a GIS environment Strong Communication skills, presenting and working across org. departments Experience with ESRI Suite (ArcGIS) Experience with data editing and spatial analysis Bachelor degree in GIS or similar (computer science, SW engineering, IT, etc.) PREFERRED: TFS Esri JavaScript API ArcGIS online and ArcGIS pro Experience with relational databases Experience with database queries (basic queries) SQL Must be authorized to work in the U.S./ Sponsorships are not available

Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Financial Data Analyst at Alpharetta , GA . Role : Financial Data Analyst Location : Alpharetta , GA 30005 / 3 days from Office Hiring Type: Fulltime with Genpact + Benefits Responsibilities Define and execute the product roadmap for AI tooling and data integration initiatives, driving products from concept to launch in a fast-paced, Agile environment. Translate business needs and product strategy into detailed requirements and user stories. Collaborate with engineering, data, and AI/ML teams to design and implement data connectors that enable seamless access to internal and external financial datasets. Partner with data engineering teams to ensure reliable data ingestion, transformation, and availability for analytics and AI models. Evaluate and work to onboard new data sources, ensuring accuracy, consistency, and completeness of fundamental and financial data. Continuously assess opportunities to enhance data coverage, connectivity, and usability within AI and analytics platforms. Monitor and analyze product performance post-launch to drive ongoing optimization and inform future investments. Facilitate alignment across stakeholders, including engineering, research, analytics, and business partners, ensuring clear communication and prioritization. Minimum qualifications Bachelor's degree in Computer Science, Finance, or related discipline. MBA/Master's Degree desired. 5+ years of experience in a similar role Strong understanding of fundamental and financial datasets, including company financials, market data, and research data. Proven experience in data integration, particularly using APIs, data connectors, or ETL frameworks to enable AI or analytics use cases. Familiarity with AI/ML data pipelines, model lifecycle, and related tooling. Experience working with cross-functional teams in an Agile environment. Strong analytical, problem-solving, and communication skills with the ability to translate complex concepts into actionable insights. Prior experience in financial services, investment banking, or research domains. Excellent organizational and stakeholder management abilities with a track record of delivering data-driven products. Preferred qualifications Deep understanding of Python, SQL, or similar scripting languages Knowledge of cloud data platforms (AWS, GCP, or Azure) and modern data architectures (data lakes, warehouses, streaming) Familiarity with AI/ML platforms Understanding of data governance, metadata management, and data security best practices in financial environments. Experience with API standards (REST, GraphQL) and data integration frameworks. Demonstrated ability to partner with engineering and data science teams to operationalize AI initiatives. Why join Genpact? • Lead AI-first transformation - Build and scale AI solutions that redefine industries • Make an impact - Drive change for global enterprises and solve business challenges that matter • Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills • Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace • Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything webuild • Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

Log-Net, Inc provides the finest trade, transportation, and logistics information technology systems via the internet. We currently have a unique opportunity in the areas of international logistics process improvement and trading partner management. Your primary roles would be to support the ongoing deployment of a global logistics solutions and to facilitate the management of all supplier interfaces between our clients, including coordinating and monitoring activity with the trading partners, managing the EDI processes, ensuring quality control standards are maintained and setting and maintaining agreed upon service level of standards. If you enjoy a challenging and fast paced demanding environment with customer interaction, we invite you to take a closer look at this opportunity. Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Being the point of contact for EDI and reporting around EDI Successfully onboard and be the point of contact for new trade partners into LOG-NET Compile and analyze data related to business EDI issues Be able to fully understand LOG-NET's platform and the capabilities of it Conducting analysis, presentations, and reports on the supply chain outlook. Developing carrier scorecard reports and analysis. Integrated logistics communication with trade partners and carriers. Coordinating client problem solving and troubleshooting. Self-starter, technical aptitude with an attitude towards learning Qualifications Bachelor's or Master's degree in Logistics, Supply Chain, Statistics, Applied Mathematics, Physics or equivalent experience preferred EDI or API integration experience preferred 0-1 years of Analytical experience Experience with data analytics, SQL, Big Query preferred Experience in international supply chain preferred Authorization to work in the United States is required for this position SALARY RANGE: USD 50,000-70,000

We are seeking a highly skilled GIS Data Analyst to support the creation, maintenance, and quality assurance of critical geospatial infrastructure data for enterprise-level Engineering initiatives. This role plays a key part in ensuring the accuracy and reliability of GIS data used across the organization - including compliance-related programs and operational analytics. The ideal candidate is a hands-on GIS professional with strong analytical skills, advanced geospatial editing experience, and the ability to interpret field data into accurate digital representations. PTC (Positive Train Control) and rail experience are preferred but not required. Key Responsibilities Create, modify, and quality-check geospatial infrastructure data for engineering and business operations Utilize GIS tools to ensure accurate topology and track geometry representation Convert field-collected spatial data into a validated digital rail network aligned with organizational standards Review, approve, and promote data change sets submitted by GIS/CAD technicians Conduct regular inventory analysis including track mileage, asset counts, and spatial measurements Collaborate with engineering sub-groups and business partners to support enterprise GIS initiatives Contribute to the preparation, assembly, and deployment of geospatial data to support compliance programs and corporate systems Support continuous improvement by recommending cost-saving initiatives leveraging GIS technologies Assist senior GIS staff in additional GIS responsibilities as needed Required Skills & Qualifications Advanced proficiency with GIS software, ideally ESRI tools (ArcGIS Pro, Desktop, geodatabase editing, topology management) Strong analytical, problem-solving, and data quality assurance capabilities Ability to interpret engineering drawings, field data, and spatial reference materials Familiarity working with infrastructure or utility network datasets Excellent communication and collaboration skills Bachelor's degree required - GIS, Computer Science, Software Engineering, IT, Geography, or related Preferred Qualifications (Nice to Have) Exposure to railroad infrastructure or linear transportation networks Experience supporting Positive Train Control (PTC) data models or compliance initiatives Working knowledge of CAD-to-GIS workflows Experience with Enterprise GIS deployments in large-scale organizations Soft Skills Detail-oriented data stewardship mindset Ability to make informed decisions and manage competing priorities Strong teamwork and communication in a technical environment

Responsibilities: Provide project planning and coordination for Privacy Impact Assessments Design and implement privacy requirements into key processes and tools across the enterprise Define, Implement, and operate Data Ethics Governance Process Develop, monitor, and report privacy metrics Requirements: 1.Banking or financial services experience 2. Five years of experience or an equivalent combination of education and work experience involving the following: -- Enforcing TCPA, CPRA, GLBA, and CAN-SPAM requirements. --Designing and executing risk assessments. Nice to have: 1.Experience managing project scope and timelines 2. Experience creating dashboards using Qlik or Tableau 3. Exeperience creating workflow and digital forms using Nintex

Role: Data Scientist Mode Of Hire: Full Time Key Responsibilities • Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows. • Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans. • Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow. • Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows. • Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice. • Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration. • Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis. Skills Required: • Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field. • 5+ years of experience in a data science, ML engineering, or analytics role. • Strong SQL, Python and ML Techniques programming skills. • Experience with Azure Cloud, Databricks, and/or Snowflake. • Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration. • Familiarity with MLOps best practices, including version control, model monitoring, and automated testing. • Experience with tools such as Git, MLflow, Docker and workflow schedulers. • Ability to communicate complex technical work to non-technical stakeholders. • Experience with scalable model training environments and distributed computing. Preferred Qualifications • Master's degree in a quantitative or technical discipline. • Experience in financial services, fintech, or enterprise B2B analytics. • Knowledge of A/B testing, causal inference, and statistical experimentation. • Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.

Responsible for implementing the day-to-day needs of the data governance and data quality program. Participate in recommending and implementing policies and procedures for data governance approved by the Data Governance council and Data Governance team. Identify data quality opportunities and drive compliance with data governance and quality initiatives. Ensure data governance opportunities are identified and addressed throughout the project life cycle. Job Specific Responsibilities and Preferred Qualifications Preferred Qualifications - Remote East Coast Role Strong expertise in SQL with the ability to write, optimize, and troubleshoot complex queries for data extraction, analysis, and reporting. Proficiency in creating, testing, and troubleshooting regular expressions (Regex) for text parsing, validation, and pattern-based data manipulation. Experience with eCommerce analytics, including analyzing performance metrics and delivering actionable insights to improve business outcomes. Hands-on experience with data visualization tools (e.g., Tableau, Adobe Analytics) and preparing clear reports and presentations for leadership and cross-functional teams. Familiarity with cloud-based data platforms such as Snowflake, AWS Redshift, or Google BigQuery; Python for data manipulation and automation is a plus. Demonstrated ability to support data governance initiatives by applying policies, standards, and dashboards to monitor and improve data quality. Strong analytical and problem-solving skills with exceptional attention to detail, accuracy, and data integrity. Major Tasks, Responsibilities, and Key Accountabilities Participates in the execution and implementation of approved data definitions, policies, standards, process data access, and dashboard statistics. Supports requests to change configurations, use, or design of data elements for specific area of influence. Conducts testing and user acceptance of new system functionality. Analyzes and identifies data sources, data, redundancy, and implements processes to remediate data issues and /or data clean-up efforts. Supports governance principles, policies, and stewardship within the business. Assists in the development and distribution of data quality dashboard. Scopes, resources, and manages data quality initiatives. Participates in the review of all system enhancements and new technologies for data needs, use, and redundancies. Nature and Scope Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data. Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process. May provide general guidance/direction to or train junior level support or professional personnel. Work Environment Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Frequent periods are spent standing or sitting in the same location with some opportunity to move about. Occasionally there may be a requirement to stoop or lift light material or equipment (typically less than 8 pounds). Typically requires overnight travel less than 10% of the time. Education and Experience Typically requires BS/BA in a related discipline. Generally 2-5 years of experience in a related field OR MS/MA and generally 2-4 years of experience in a related field. Certification is required in some areas.

Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at ******************** * Notice: Know Your Rights: Workplace Discrimination is Illegal * Notice: Pay Transparency Nondiscrimination (English) * Aviso: Transparencia en el Pago No Discriminación (Spanish) : Airbus Commercial Aircraft is looking for Summer Interns to join our Data Science team based in Atlanta, GA. Meet the Team: The Airbus Skywise Team powers a purpose-built industry data platform, aimed to address Aircraft Operations Challenges. Our team combines in-flight, engineering and operational data in an analytic rich environment to provide airlines with meaningful information. Your Working Environment: The Airbus Digital Alliance is a partnership founded in 2019 with Delta Air Lines to develop predictive maintenance programs and additional performance solutions for mixed fleet operations. Find them in the historic Ponce City Market area. Your Challenges: Primary Responsibilities: * Write code to transform real-world data into high-signal models. * Loading disparate data sets and conducting pre-processing transformation services. * Extract insights from airline and aviation data that will revolutionize our business strategy and communicate insights that resonate with partners. Additional Responsibilities: * Collaborate with the software development teams * Maintaining production systems * Assist with data resource management Your Boarding Pass: Required: * Currently enrolled in an accredited Bachelor's degree program in engineering, data or computer science * Previous experience as a big data engineer or relevant coursework * Experience with programming languages such as Python, R, Java, or similar languages * Data Science knowledge * Good project management skills * Good communication skills * Ability to adapt to a dynamic work environment by consistently revising your approach in response to new information * Eligible for employment in the US without current, or future, need of sponsorship * Must be able to communicate effectively in English (verbal and written) * Interpersonal skills necessary to effectively interface with all levels of personnel and disciplines. * Ability to communicate effectively in verbal and written form with internal customers, required * Strong computer background, including MS Excel and Google Suite application experience (Docs, Sheets, Slides, Gmail) Preferred: * Prior experience working with Apache Spark * Experience with Palantir big data platform (or similar platform) or big data coursework is nice to have * Big data engineering or relevant coursework Physical Requirements: * Onsite or remote: 60% onsite, 40% remote * Vision: able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings. 100% * Hearing: able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms.100% * Speaking: able to speak in conversations and meetings, deliver information and participate in communications.100% * Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts. 100% * Carrying: able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs. 20% * Lifting: able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs. 10% * Pushing / Pulling: able to push and pull small office furniture and some equipment and tools. 10% * Sitting: able to sit for long periods of time in meetings, working on computer. 90% * Squatting / Kneeling: able to squat or kneel to retrieve or replace items stored on low shelving. 10% * Standing: able to stand for discussions in offices or on production floor. 40% * Travel: able to travel independently and at short notice. 0% * Walking (include routine walking such as to a shared printer to retrieve documents): able to walk through office and production areas including uneven surfaces. 30% * Personal Protective Equipment required: Required PPE includes, but is not limited to, Safety Shoes, Safety Glasses, Hearing Protection, Respirators/Masks, and/or Protective Gloves as required by site and/or customer site * Administrative position only PPE required: Steel-toed shoes are required for all shop floor visit, appropriate hearing/eye protection may also be required when visiting the shop floor. Ability to work in the US without current, or future, need of visa sponsorship/work authorization is required. Take your career to a new level and apply online now! A full job description will be provided to candidates who progress to the interview stage or any candidate upon request. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Americas Customer Services, Inc. Employment Type: Internship Experience Level: Student Remote Type: Flexible Job Family: Digital * ----- Job Posting End Date: 01.09.2026 * ----- By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to ****************.

(10-Week Summer Internship) About Thought Logic Thought Logic is a digital-enabled consultancy that delivers people-centric, transformational solutions for industries of all shapes and sizes. We bring a “Challenge the Expected” philosophy, combining domain expertise with a unique client-first approach to help clients achieve real business impact. Our Data & Analytics (D&A) team partners with organizations to unlock the power of their data. From cloud platforms and advanced analytics to AI-driven insights, we help clients transform information into action, creating meaningful impact across their business. About the Internship Join our Data & Analytics Consulting team for 10 weeks of hands-on learning, professional development, and client exposure. You'll gain real-world experience in how data shapes business decisions-building a foundation in analytics tools, business intelligence, and consulting practices. We're looking for curious, motivated students with a passion for data, problem-solving, and learning how analytics can drive smarter decisions. If that's you, this program will give you a front-row seat to a consulting career. What You'll Do Participate in business requirements sessions with executives and project teams. Assist with key phases of the project life cycle-from requirements through delivery. Learn how consultants tackle real-world business challenges and design data-driven solutions. Gain exposure to leading data technologies used for planning, reporting, and analytics. Contribute to internal initiatives, with the chance to see your work applied to active projects. Create and present a capstone presentation to firm leadership at the end of your internship. What We're Looking For Projected Fall 2026 or 2027 graduate with a Bachelor's degree in Statistics, Data Science, MIS, Computer Science, or Information Technology related field. Strong interest in data, analytics, and consulting. Solid problem-solving skills and ability to analyze data effectively. Team-oriented mindset with leadership potential and excellent communication skills. Strong proficiency in Microsoft Excel; exposure to SQL, BI tools, Python, and any experience working with big data and data manipulation tools as well as knowledge or desire to work in cloud platforms. Self-starter who thrives in dynamic, collaborative environments. Willingness to travel if needed. Why Thought Logic? Hands-on exposure to real consulting projects and cutting-edge data technologies. Mentorship from experienced consultants and practice leaders. Networking opportunities with senior leadership. Career exploration with potential for post-graduation offers. Collegial, collaborative culture (community events, “Feed You Fridays,” lunch & learns, etc.). Competitive internship compensation.

ADP is hiring a Summer 2026 Data Science/Machine Learning Intern Are you looking for real corporate experience at a Fortune 250 company? Do you want to make a valuable contribution to a business' success? Are you ready to join an energetic, collaborative team and experience an inclusive culture of belonging? If so, then this may be just the opportunity you've been searching for. Read on and see for yourself. As an Intern at ADP, you will work alongside seasoned professionals who will guide and support you to enhance your professional skills while gaining relevant experience in a business environment. Even better: You will also participate in a variety of functional and leadership activities to enhance your personal and professional capabilities. Your objective: To learn as much as possible and gain relevant business experience during your time interning with us. Ready to #MakeYourMark? Apply now! WHAT YOU'LL DO: Responsibilities Here's what you can expect on a typical day as a Data Science/Machine Learning Intern: Advanced Analytics & Predictive Modeling. You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations-this will set you up for success on Day 1. You will interact with developers, UX designers, product managers, and senior executives to understand problem domain, project requirements, user experience and demonstrate model performance and its business value. Own and Manage Projects. You will identify, design, develop, and implement advanced analytical projects. Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovation. Collaboration and Communication. You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings. TO SUCCEED IN THIS ROLE: Required Qualifications You have completed at least 3 years of a 4 year Bachelor's degree or 1 year of a 2 year Master's degree in a quantitative discipline. Prior experience in Java, C++, SQL; Distributed computing tools such as Apache Hadoop, Apache Hive, or Apache Spark; Oracle, MongoDB; Data visualization tools, such as Tableau, will give you extra comfort in this role to be successful. Self-Starter. You are high-reaching and unstoppable. You have a can't-stop-won't-stop attitude and an urge to persevere until you get it right. Insatiable Appetite to Learn. You're always learning, growing, questioning, and challenging "what's been done before." Agile Solution Seeker. You're a problem solver who always can find the right answer even in times of fast-paced change.

ADP is hiring a Summer 2026 Data Science/Machine Learning Intern Are you looking for real corporate experience at a Fortune 250 company? Do you want to make a valuable contribution to a business' success? Are you ready to join an energetic, collaborative team and experience an inclusive culture of belonging? If so, then this may be just the opportunity you've been searching for. Read on and see for yourself. As an Intern at ADP, you will work alongside seasoned professionals who will guide and support you to enhance your professional skills while gaining relevant experience in a business environment. Even better: You will also participate in a variety of functional and leadership activities to enhance your personal and professional capabilities. Your objective: To learn as much as possible and gain relevant business experience during your time interning with us. Ready to #MakeYourMark? Apply now! WHAT YOU'LL DO: Responsibilities Here's what you can expect on a typical day as a Data Science/Machine Learning Intern: Advanced Analytics & Predictive Modeling. You bring prior experience to the role of formulating problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations-this will set you up for success on Day 1. You will interact with developers, UX designers, product managers, and senior executives to understand problem domain, project requirements, user experience and demonstrate model performance and its business value. Own and Manage Projects. You will identify, design, develop, and implement advanced analytical projects. Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovation. Collaboration and Communication. You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings. TO SUCCEED IN THIS ROLE: Required Qualifications You have completed at least 3 years of a 4 year Bachelor's degree or 1 year of a 2 year Master's degree in a quantitative discipline. Prior experience in Java, C++, SQL; Distributed computing tools such as Apache Hadoop, Apache Hive, or Apache Spark; Oracle, MongoDB; Data visualization tools, such as Tableau, will give you extra comfort in this role to be successful. Self-Starter. You are high-reaching and unstoppable. You have a can't-stop-won't-stop attitude and an urge to persevere until you get it right. Insatiable Appetite to Learn. You're always learning, growing, questioning, and challenging "what's been done before." Agile Solution Seeker. You're a problem solver who always can find the right answer even in times of fast-paced change.

Airbus is committed to providing reasonable accommodations as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or an accommodation to complete your application, please contact us at ******************** Notice: Know Your Rights: Workplace Discrimination is Illegal Notice: Pay Transparency Nondiscrimination (English) Aviso: Transparencia en el Pago No Discriminación (Spanish) : Airbus Commercial Aircraft is looking for Summer Interns to join our Data Science team based in Atlanta, GA. Meet the Team: The Airbus Skywise Team powers a purpose-built industry data platform, aimed to address Aircraft Operations Challenges. Our team combines in-flight, engineering and operational data in an analytic rich environment to provide airlines with meaningful information. Your Working Environment: The Airbus Digital Alliance is a partnership founded in 2019 with Delta Air Lines to develop predictive maintenance programs and additional performance solutions for mixed fleet operations. Find them in the historic Ponce City Market area. Your Challenges: Primary Responsibilities: Write code to transform real-world data into high-signal models. Loading disparate data sets and conducting pre-processing transformation services. Extract insights from airline and aviation data that will revolutionize our business strategy and communicate insights that resonate with partners. Additional Responsibilities: Collaborate with the software development teams Maintaining production systems Assist with data resource management Your Boarding Pass: Required: Currently enrolled in an accredited Bachelor's degree program in engineering, data or computer science Previous experience as a big data engineer or relevant coursework Experience with programming languages such as Python, R, Java, or similar languages Data Science knowledge Good project management skills Good communication skills Ability to adapt to a dynamic work environment by consistently revising your approach in response to new information Eligible for employment in the US without current, or future, need of sponsorship Must be able to communicate effectively in English (verbal and written) Interpersonal skills necessary to effectively interface with all levels of personnel and disciplines. Ability to communicate effectively in verbal and written form with internal customers, required Strong computer background, including MS Excel and Google Suite application experience (Docs, Sheets, Slides, Gmail) Preferred: Prior experience working with Apache Spark Experience with Palantir big data platform (or similar platform) or big data coursework is nice to have Big data engineering or relevant coursework Physical Requirements: Onsite or remote: 60% onsite, 40% remote Vision: able to see and read computer screen and other electronic equipment with screens, able to read documents, reports and engineering drawings. 100% Hearing: able to hear to participate in conversations in person and via teleconference or phone and to hear sounds on production floor including safety warnings or alarms.100% Speaking: able to speak in conversations and meetings, deliver information and participate in communications.100% Equipment Operation (personal computer, telephone, copies, fax machine, and related office equipment and using electronic identification card to enter building floors and internal doors): able to operate most office and personal electronic equipment and some tools including production tools such as hydraulic lifts. 100% Carrying: able to carry documents, tools, drawings, electronic equipment up to 30lbs/14kgs. 20% Lifting: able to lift documents, tools, drawings, electronic equipment up to 30lbs/14kgs. 10% Pushing / Pulling: able to push and pull small office furniture and some equipment and tools. 10% Sitting: able to sit for long periods of time in meetings, working on computer. 90% Squatting / Kneeling: able to squat or kneel to retrieve or replace items stored on low shelving. 10% Standing: able to stand for discussions in offices or on production floor. 40% Travel: able to travel independently and at short notice. 0% Walking (include routine walking such as to a shared printer to retrieve documents): able to walk through office and production areas including uneven surfaces. 30% Personal Protective Equipment required: Required PPE includes, but is not limited to, Safety Shoes, Safety Glasses, Hearing Protection, Respirators/Masks, and/or Protective Gloves as required by site and/or customer site Administrative position only PPE required: Steel-toed shoes are required for all shop floor visit, appropriate hearing/eye protection may also be required when visiting the shop floor. Ability to work in the US without current, or future, need of visa sponsorship/work authorization is required. Take your career to a new level and apply online now! A full job description will be provided to candidates who progress to the interview stage or any candidate upon request. This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth. Company: Airbus Americas Customer Services, Inc. Employment Type: Internship Experience Level: Student Remote Type: Flexible Job Family: Digital ------ Job Posting End Date: 01.09.2026 ------ By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to ****************.

** Summer 2026 Internship Interviews begin January 2026 | Offers extended in March | Start date projected for May Location: This internship will be based at one of Waystar's four basecamp locations, offering an in-person experience designed to foster collaboration and hands-on learning. **WHAT YOU'LL DO** Waystar is seeking a curious, analytical, and detail-driven Data Analyst Intern to join our Summer 2026 Internship Program. This opportunity is ideal for students who love working with data, uncovering insights, and solving complex problems that drive smarter decisions in the healthcare technology space. As a Data Analyst Intern, you'll collaborate with cross-functional teams to support data-driven initiatives across the organization. What You'll Gain: + Exposure to healthcare data and analytics tools + Hands-on experience with data visualization, reporting, and trend analysis + Opportunities to work on meaningful projects that inform strategic decisions + Mentorship from experienced analysts and collaboration across departments **WHAT YOU'LL NEED** **Program Timeline** The interview process for Summer 2026 internships will begin in **January 2026** , with offers expected to be extended in **March** . Interns will officially onboard in **May** , aligning with the start of the summer program. **ABOUT WAYSTAR** Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (**************************** on Twitter. **WAYSTAR PERKS** + Competitive total rewards (base salary + bonus, if applicable) + Customizable benefits package (3 medical plans with Health Saving Account company match) + We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays + Paid parental leave (including maternity + paternity leave) + Education assistance opportunities and free LinkedIn Learning access + Free mental health and family planning programs, including adoption assistance and fertility support + 401(K) program with company match + Pet insurance + Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. **Job Category:** Technology/Engineering **Job Type:** Part time **Req ID:** R2768

Introduction Hiring manager and Recruiter should collaborate to create the relevant verbiage. A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your role and responsibilities During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career. At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and could advance to our associate program based on results and performance. Work experiences you could be exposed to: * Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors. * Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights. * Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings. * Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field * Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment * Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints * Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges * Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation * Willingness to travel as needed Preferred technical and professional experience * Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications * General familiarity with databases, data-engineering tools (SQL, Spark, Snowflake) and cloud platforms (e.g., IBM Cloud, Azure, AWS). Experience with NLP/LLM/GenAI is a plus * Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus These positions are anticipated to start in summer 2026. We have positions open in these locations: * Atlanta, GA * Austin, TX * Chicago, IL * Houston, TX ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

As a Data Scientist, you will work in teams addressing statistical, machine learning, and artificial intelligence problems in a commercial technology and consultancy development environment. You will be part of a data science or cross-disciplinary team driving AI business solutions involving large, complex data sets. Potential application areas include time series forecasting, machine learning regression and classification, root cause analysis (RCA), simulation and optimization, large language models, and computer vision. The ideal candidate will be responsible for developing and deploying machine learning models in production environments. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data engineers, analysts, and other stakeholders. Roles and Responsibilities: * Design, develop, and deploy machine learning models and algorithms under guidance from senior team members * Develop, verify, and validate analytics to address customer needs and opportunities. * Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. * Develop and maintain pipelines for Retrieval-Augmented Generation (RAG) and Large Language Models (LLM). * Ensure efficient data retrieval and augmentation processes to support LLM training and inference. * Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value. * Perform exploratory and targeted data analyses using descriptive statistics and other methods. * Work with data engineers on data quality assessment, data cleansing, data analytics, and model productionization * Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. * Communicate methods, findings, and hypotheses with stakeholders. Minimum Qualifications: * Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with a minimum of 2+ years of experience * 2 years of proficiency in Python. * Familiarity with statistical machine learning techniques as applied to business problems * Strong analytical and problem-solving skills. * Strong communication and collaboration skills. * Note: Military experience is equivalent to professional experience Eligibility Requirement: * Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. Desired Characteristics: * Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services. * Experience with handling unstructured data, including images, videos, and text * Ability to work in a fast-paced, dynamic environment. * Experience with data preprocessing and augmentation tools. * Demonstrated experience applying critical thinking and problem-solving * Demonstrated experience working in team settings in various roles * Strong presentation and communications skills Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: No

**Req number:** R6105 **Employment type:** Full time **Worksite flexibility:** Remote **Who we are** CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. **Job Summary** As a Data Analyst Intern, you will work within our technical data analytics team, focusing on analyzing existing customer data. You will have the opportunity to apply your analytical skills to discover patterns and insights that will help drive business strategies and improve customer experiences. **Job Description** We are seeking a motivated and detail-oriented **Data Analyst Intern** to join our team and contribute to impactful data analysis projects. This role is a **full-time internship role and is remote** . The internship dates are June 1, 2026 to July 31 2026. **This internship is a full-time opportunity requiring a commitment of** **40 hours** **per week.** **Candidates must be available during core business hours (8:30 am EST to 5:00 pm EST) for the entire 9-week duration of the program.** **Please note that all work must be performed within the United States.** **This position does not offer work authorization sponsorship now or in the future. Candidates requiring sponsorship will not be considered.** **What** **You'll** **Do** + Assist in collecting, processing, and analyzing large datasets to extract meaningful insights + Collaborate with cross-functional teams to understand data requirements and deliver actionable analytics + Develop and maintain dashboards and reports to communicate findings to stakeholders + Utilize statistical techniques and data analysis tools to identify trends and patterns in customer data + Support the team in ad hoc analysis and reporting requests **What** **You'll** **Need** Required: + Current Junior pursuing a degree in Computer Science or a related field + Minimum GPA of 3.5 or higher + Strong analytical skills and experience with data patterns and trends + Excellent critical thinking and problem-solving abilities + Familiarity with data analytics tools and techniques + Passion for working with data and a keen interest in customer data analysis Preferred: + Understanding data engineering, data warehousing, and ETL processes + Familiarity with Python, Java, or Scala + Familiarity with Azure data storage + Exposure to data storage technologies such as SQL databases, NoSQL databases, and data lakes. + Familiarity with cloud platforms (AWS or Azure,) and related data services **Physical Demands** + Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards + Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. + Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor The pay for this position is $20 per hour (USD). Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law. \#DNP **Reasonable accommodation statement** If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages for this role will include medical coverage as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Title: Research & Data Analyst Employee Classification: Professional F/T 52 Wks Unit Department: Institutional Research Salary Range: 67,569 Who we are: We are not-for-profit: St. Louis Community college (STLCC) is a non-profit institution dedicated to empowering students, expanding minds, and changing lives. Employees are committed to strengthening the St. Louis community with inclusive and transformative education. We are a respected employer: For 60 years, STLCC has served the St. Louis community, expanding to 4 main campuses, 2 education centers, 2 workforce training centers, and 5 centers of excellence. More than one-half of the households in St. Louis have at least one member who has taken classes at STLCC. We make an impact in the community: Through credit courses, continuing education, and workforce development programs, STLCC annually serves nearly 69,000 students. More than 80% of career and technical graduates employed in their fields or continue their education at four-year institutions within six months of graduation. STLCC sends more transfer students to Missouri's four-year colleges/universities than anyone else. What you get: Benefits package [for full-time employees]: STLCC offers one of the best benefit packages in the St. Louis area. As a STLCC employee you will have access to a 100% match on your contribution to retirement, two health insurance plans options - including an HSA option, low-cost life insurance with a 3x salary benefit, and other low-cost benefits including dental, vision, AD&D, Short-term & Long-term disability insurance. Opportunity to grow: Over half of our employees have served the college for more than 12 years, exploring different career paths and advancing to higher level positions. Education & training opportunities: STLCC offers tuition waivers for employees [full-time and part-time] + their dependents. Full-time employees can take advantage of tuition reimbursement for other institutions after just 6 months of service, and an annual professional development allotment. Work/life balance: Full-time STLCC employees have access to a generous time off package, including holidays, vacation, personal days, medical leave, and other leave options. Our holiday schedule even includes a paid winter holiday at the end of the calendar year. Commitment to wellness: STLCC HR boasts a dedicated health and wellness specialist who is enthusiastic about creating a culture of wellness throughout the College. With access to college wellness vendors, employees are educated, motivated, and rewarded for healthy behaviors. STLCC employees and anyone living in their household also have access to an employee assistance program (EAP) that can help them with virtually any life need. The basics of this position: Position provides technical expertise within the research department to produce specifications, documentation, and training in development and structure of the data warehouse, the business intelligence decision support system, and other technical solutions. Serves as the lead department liaison with information technology in implementing and maintaining department technology. Position extracts, transforms, analyzes, and reports institutional data using various software tools and processes to meet reporting needs of the institution. Responsible for the validation of department reports and developing/maintaining reporting standards to ensure data accuracy and report functionality. Collaborates with functional units of the college to improve efficiency, effectiveness, and integrity with regards to data gathering, reporting systems, and analysis. The Research & Data Analyst supports the College's mission by transforming institutional data into meaningful insights for planning, decision-making, and continuous improvement. This position helps maintain and enhance the College's reporting tools, develops user-friendly reports, ensures data accuracy, and collaborates with departments across the College to improve how data is gathered, managed, and used. What you'll do: • Serves as department technical expert by maintaining expertise on current database, business intelligence tools, and other software used within the department. • Provides analysis, solutions, and training for the department on use of software and other technology. • Provides department leadership in identifying technical solutions to address current needs and to increase department efficiency and effectiveness. • Responsible for the extraction and transformation of data using programming techniques from multiple data sources for use as research data sets. • Creates, designs, modifies, and presents dynamic reports to support college and department level planning, enrollment management, compliance, accreditation, and decision making. • Provides leadership in projects that support the comprehensive online reporting systems and web-based communication tools. • Validates department reports before they are published to maintain and improve access to the reporting system and availability of accurate reports. • Develops and maintains standard operating guides for department report development and validation. • Develops, manages, coordinates, and completes research and data analysis with regard to academic and institutional policy analysis. • Works collaboratively with college stakeholders to analyze specifications and design reports using report writing tools and other data reporting methods. • Collaborates with Information Technology to develop and maintain the technical architecture necessary for report writing. • Provides leadership in the evaluation and preparation of solutions to address data quality based on requirements for data accuracy and completeness. • Explores additional uses for data that allow College departments to work more effectively and to support the College's commitment to data-informed decision making. • Develops, maintains, and updates queries and reports to fulfill recurring data needs for internal and external reporting requirements. Responsible for monitoring, maintaining, and updating historical analytical reports. When necessary, converting historical static analytical reports into dynamic web-based reports using report writing tools. • Provides technical expertise to develop and provide training to faculty and staff with regard to the College's business intelligence system. • Collaborates with functional area experts to automate current data gathering and reporting systems. • Responsible for maintaining confidentiality and professionalism when dealing with sensitive employee data. • Conducts research and analysis of external conditions that impact the College. • Performs other job-related duties as assigned. Education, experience, and other requirements: Bachelor's degree and five (5) years of relevant full-time experience or Master's degree and two (2) years of relevant full-time experience. Any combination of education and experience that provides the required knowledge and abilities. Preferred Qualifications: Ideal Candidate Traits Experience in higher education and a strong commitment to data-informed decision making are highly preferred. Enjoys solving problems and answering questions with data. Comfortable learning new tools and systems. Able to translate data into meaningful information for non-technical audiences. Values accuracy, documentation, and continuous improvement. Committed to supporting student success through data-informed practices. Detail-oriented, curious, and comfortable working with data, but does not need to be a programmer.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: A Bachelor's degree in Finance, General Business, or Business Analytics Strong financial and analytical skills Proven ability to organize and interpret large amounts of data Meticulous, organized and proficient at managing multiple workstreams simultaneously Excellent written and verbal communication skills needed to interact with internal team members and external client personnel. Dedicated, result oriented and ability to learn quickly in a fast-paced, dynamic work environment under tight deadlines Highly proficient in Excel; SQL and Tableau experience preferred Proficiency in the English language, including the ability to listen, understand, read and communicate effectively both in writing and verbally in a professional environment.