Data analyst jobs in Murray, KY

Our client is currently seeking a Data Analyst Hybrid to the northern suburbs of Chicago W2 Only In this role, you'll evaluate usage, adoption, and performance of IIN systems, identify data mining opportunities, and integrate findings with key performance indicators. You'll collaborate with cross-functional teams to deliver dashboards, reports, and scorecards that inform strategy. What You'll Do Analyze usage, adoption, and efficacy of IIN systems. Identify and execute data mining opportunities. Integrate insights with traditional KPIs. Provide analytical support for projects and stakeholders. Develop and share dashboards, reports, and scorecards. Ensure data accuracy, format, and availability. What We're Looking For Bachelor's degree in Statistics, Data Science, Mathematics, or related field. Strong analytical skills and ability to interpret complex datasets. Advanced Excel skills (pivot tables, VLOOKUP, Power Query, visualization). Expertise in Tableau for dashboard design and optimization. Hands-on experience with Snowflake and SQL for data warehousing and analysis. Strong business acumen and ability to align data strategies with goals. Excellent communication and collaboration skills. Nice to Have Experience with KPI reporting and BI tools. Familiarity with advanced data visualization techniques. Rate: $65-90/HR

Join Telesis7 as an Billing Analyst with experience with CSG or ICOMS for one of our premier clients. ***MUST BE LOCAL TO ST LOUIS, MO TO START*** THIS ROLE IS IN ST LOUIS. NOT OPEN TO REMOTE WORK. MUST BE LOCAL TO ST LOUIS NOTE - this is 4 Days per week in office in one of the above locations; we are unable to provide sponsorship and are unable to work with third parties or C2C. Please apply to this posting and do not contact directly via email. Responsible for providing technical support and assisting in developing and implementing related to 3rd party billing systems used by this company. Analyze systems for ongoing performance improvements at user and system levels. May perform software testing, documentation and provide training. 2 - 4 years of experience. Must have experience: CSG or ICOMS (at least one year experience) SQL query writing Auditing data Excel

S outhern Orthodontic Partners is a fast paced, entrepreneurial organization offering a premier network of orthodontic care. We provide business management expertise to our partner practices, enabling orthodontic professionals to focus on delivering the best possible care to their patients. Our partner practices benefit from our centralized support system, operational best practices, recruiting network, and marketing expertise. Our mission is to positively impact the orthodontic profession through a partnership of clinical and service excellence with the country's leading doctors. At Southern Orthodontic Partners we heavily rely on our data from our practices to not only track progress toward operational objectives, but to also provide insight to allow for strategic and timely decisions related to the operations of the business. We are seeking a skilled Data Analyst with strong SQL development capabilities and hands-on experience in data engineering workflows. This role combines analytical expertise with technical proficiency in data transformation, pipeline management, and business intelligence tools. The ideal candidate will bridge the gap between data engineering and analytics, ensuring reliable data flows while delivering actionable insights. In this role you will: Build and maintain data pipelines using Azure Data Factory, Python, and other ETL tools Monitor data ingestion processes and troubleshoot issues proactively to ensure data availability Design, develop, and optimize SQL queries to extract, transform, and analyze large datasets Perform ad hoc analysis to support business questions and operational needs Collaborate with data engineers and business stakeholders to understand requirements and deliver solutions Document data workflows, transformations, and troubleshooting procedures Ensure data quality through validation, testing, and monitoring procedures Create visualizations and reports using Power BI, Tableau, or similar tools Support data warehouse development and maintenance as needed. Technical Skills: SQL Development: Intermediate to advanced proficiency in SQL for complex querying, performance optimization, and database management Data Transformation & ETL: Hands-on experience managing data load and transformation processes using: Python for data manipulation and scripting Azure Data Factory for orchestrating data pipelines Other industry-standard ETL/ELT tools and frameworks API Integration: Practical experience working with REST APIs, including: Consuming data from external APIs using authentication methods (OAuth, API keys, tokens) Pushing data to external systems via API endpoints Handling API pagination, rate limiting, and error responses Building automated data workflows that leverage APIs for data ingestion and distribution Problem-Solving: Demonstrated ability to perform ad hoc querying and troubleshoot data ingestion issues with minimal guidance Data Quality: Experience validating data integrity and implementing error handling procedures Core Competencies: Strong analytical and problem-solving mindset Ability to work independently on technical troubleshooting Effective communication skills for documenting processes and collaborating with stakeholders Attention to detail in data validation and quality assurance Preferred Job Skills: Highly Desired: Experience with Databricks for big data processing and analytics Proficiency in Azure Data Factory for cloud-based data integration Business intelligence expertise using Power BI and/or Tableau for visualization and reporting

Heartland Companies, founded in 1997, offers personable, reliable, and flexible services to clients. The company also oversees several other internal brands, including Heartland Barge, Heartland Fabrication, and Heartland Commercial Real Estate, each providing unique services. Heartland Barge focuses on barge management and marine consulting, while Heartland Fabrication specializes in barge construction and Heartland Commercial Real Estate. GENERAL PURPOSE OF JOB The Financial/Data Analyst position reports to the Senior Analyst and works collaboratively with company C-Suites, Vice Presidents, and other employees of the Heartland Companies. The position is responsible for collecting, analyzing and summarizing relevant financial data for senior management in order for them to be able to make effective and profitable decisions. This position will be involved with all phases of data analytics, financial analysis, and the portfolio management process. Additionally, this position is also responsible for gathering, maintaining, organizing and summarizing relevant financial data, financial statements for existing portfolio business and investments. JOB CLASSIFICATION This is an exempt position. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Work with internal and external stakeholders to understand value drivers and data requirements from the business and end users perspective Produce and maintain various financial models and management reports as needed. Provide status of financial condition by collecting, interpreting, and reporting financial data. Assist with various administrative and supervisory functions as directed. Prepare special reports by collecting, analyzing, and summarizing information and trends. Protect operations by keeping financial information and plans confidential. Prepare reports that summarize and forecast company business activity and financial position in areas of income, expenses, earnings, and financial ratios based on past, present, and expected operations. Support business initiatives through data analysis. Perform detailed analysis on multiple projects, recommend potential business solutions, and ensure successful implementations. Identify ways to enhance performance management and operational reports related to new business implementation processes. Develop, share, and incorporate organizational best practices into business applications. Serve as the subject matter expert on the assigned function product to ensure operational performance. Maintain professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies. Travel as required to meet, form and maintain relationships with Heartland's senior management, prospective partners/investors, banks, and other select business relationships. Basic Qualifications · Bachelor's degree in Finance, Accounting, Business Administration, or a related field · Minimum 3 years' experience in financial and/or data analysis activities · Advanced Excel skills required Preferred Skills/Experience · Experience with operating and extracting data from ERP systems · Experience with AI tools / applications · Strong work ethic with well-developed interpersonal skills · Strong verbal and written communication skills · Strategic thinker and proficient in decision making · Ability to work collaboratively with senior management · Experience in managing multiple initiatives with limited supervision · Ability to self-manage to meet strict deadlines · Strong understanding of financial metrics, measures, and theory · Advanced certifications or degrees strongly preferred

The Business Systems Analyst (BSA) is responsible for managing the WMS, ERP, OMS, including the oversight and resolution of EDI issues. The BSA will lead the coordination and resolution of break/fix issues, maintain project lists, gather detailed business requirements from internal stakeholders, and ensure systems alignment with business objectives. This is a 100% onsite position with no exceptions. Key Responsibilities: Provide training and guidance to internal staff and end-users on system functionalities and processes. Act as primary point of contact for all ERP, WMS, OMS, PIM, and EDI-related issues. Manage and prioritize break/fix incidents, enhancements, system upgrades, and collaborate closely with internal staff and external vendors. Develop and maintain detailed documentation, including project lists, functional requirements, process flows, and training materials. Regularly meet with internal stakeholders to identify and document project requirements and enhancement opportunities. Translate business requirements into technical specifications to facilitate clear communication with technical teams or vendors. Perform system testing and validation, and provide guidance to end-users for UAT (User Acceptance Testing). Proactively monitor system performance and provide recommendations for improvements and upgrades. Work with internal business and IT staff to plan and execute system upgrades and new implementations. Provide support during business hours and after hours (weekends included) and act as the primary point of contact for urgent issues. Required Skills & Qualifications: Bachelor's degree in Information Systems, Business Administration, or related field. Minimum 3-5 years of experience in a Business Systems Analyst or similar role. Experience supporting ERP and WMS systems, ERP and/or AS preferred. Strong analytical skills with the ability to translate complex business requirements into technical specifications. Excellent verbal and written communication, interpersonal skills, and stakeholder management. Proven ability to manage multiple priorities and effectively troubleshoot issues. Experience managing relationships with external vendors and service providers. Familiarity with integration tools (middleware platforms like MuleSoft, Boomi, or Informatica). Understanding of EDI (Electronic Data Interchange) processes, integrations, and troubleshooting. Knowledge of reporting and analytics tools such as Power BI. Preferred Qualifications: Familiarity with warehouse and logistics operations, particularly in the manufacturing or automotive industry. Experience with SQL and Python required. Familiarity with on-premises (Veeam) and cloud infrastructure (AWS or Azure). Project management certifications (such as PMP or Agile certifications). Experience with Microsoft Project, Microsoft Visio, or other similar tools. ERP/WMS systems management certifications. ITIL Foundation Certification. Exposure to Lean, Six Sigma, or continuous improvement methodologies. Compensation: The salary range for this position is $85,000 to $120,000 annually, reflecting the anticipated compensation at the time of posting. Final placement within this range will be determined by several factors, including-but not limited to-education, certifications, relevant experience, skills, and overall business needs. In addition to salary, eligible employees will receive a comprehensive benefits package, which includes paid time off, medical, dental, and vision insurance, life insurance, short- and long-term disability coverage, paid parental leave, and a 401(k) match retirement plan. Company Overview: PowerStop is the leading innovator and market leader in aftermarket automotive brake kits, holding the top share across all major online retail platforms and distinguished by its best-in-class omni-channel operational excellence. The company's core product portfolio includes complete brake kits-sold through leading eCommerce retailers such as Amazon, RockAuto, and AutoZone-as well as brake components and accessories distributed primarily through traditional warehouse channels. Unlike traditional brake suppliers, PowerStop was born in the digital era, pioneering a category-defining product specifically engineered for the online marketplace: the all-in-one brake kit. Each kit contains every component required for a full brake replacement or performance upgrade, offering consumers unmatched convenience and value. Today, more than 70% of PowerStop's revenue is generated through online channels. Its leadership position is underpinned by a strong consumer brand, differentiated product offering, and world-class fulfillment capabilities. PowerStop has also built enduring partnerships with warehouse distributors, recognized for its exceptional service, product quality, and industry-leading logistics. With a proven track record of consistent double-digit organic growth over the past decade, PowerStop's success is driven by its consumer-centric approach, deep market coverage (serving approximately 98% of the vehicle parc), and operational excellence across every segment of the value spectrum. The company continues to build on this foundation through multiple growth levers, including expansion into new product categories, further penetration of the DIFM (“Do It For Me”) and IIFM (“Install It For Me”) markets, and targeted strategic acquisitions. Headquartered in Burr Ridge, Illinois, PowerStop employs more than 550 team members across its corporate and operational facilities. The company operates two major distribution centers: a 230,000-square-foot eCommerce facility in Bedford Park, Illinois, and a 500,000-square-foot facility in Hodgkins, Illinois, designed to serve larger stocking and replenishment orders. Work Environment: This position operates in a professional office environment with occasional time spent in warehouse operations for system-related tasks. Travel: Travel is required between all company locations and vendor sites based on project needs or issue resolution.

GeoWealth is a Chicago-based fintech firm that offers an award-winning digital advisory platform, including Turnkey Asset Management Platform (“TAMP”) capabilities. We deliver a comprehensive and fully integrated wealth management technology platform to professionals in the financial services industry. OPPORTUNITY: We're looking for a Data Architect to join our Engineering Team. In this role, you will oversee the overall data architecture, helping us deliver our best-in-class solutions to our customers. This role will be key in organizing, designing, and leading our team through well-designed data architecture. If you love architecting complex systems, delivering customer focused software, designing best-in-class systems and leading data architecture design this role is for you. RESPONSIBILITIES: Own data architecture and oversee data implementation Set coding/implementation standards Lead our data warehouse design Deliver performant, maintainable, and quality software in collaboration with our teams. Improve our database design to reduce replication and increase performance Partner with other architects and engineers to produce better designed systems SKILLS, KNOWLEDGE, AND EXPERIENCE: 5+ years of experience as Data Architect or equivalent role Bachelor's degree in computer science or equivalent degree Hands-on experience with Oracle Designed and implemented data warehouse Experience with the following is preferred but not required: designing and building monolithic and distributed systems, Postgres, Logi Symphony, PowerBI, Java and JIRA/Confluence COMPANY CULTURE & PERKS - HIGHLIGHTS: Investing in Your Growth 🌱 Casual work environment with fun, hard-working, and open-minded coworkers Competitive salary with opportunity for performance-based annual bonus Opportunities to up-skill, explore new responsibilities, and network across departments Defined and undefined career pathways allowing you to grow your own way Work/Life Balance 🗓️ Flexible PTO and work schedule to ensure our team balances work and life Hybrid work schedule Maternity and paternity leave Taking Care of Your Future ♥️ Medical, Dental, and Vision, Disability insurance Free access to Spring Health, a comprehensive mental health solution 401(k) with company match and a broad selection of investments Voluntary insurance: short-term disability, long-term disability, and life insurance FSA and transit benefits for employees that contribute pre-tax dollars Other Fun Stuff ⭐ Free on-site gym and parking Weekly catered lunches in the office, plus monthly happy hours Stocked kitchen with snacks and drinks GeoWealth was recognized as “Best Place to Work” by Purpose Job's 2025, 2024 and 2022 GeoWealth was recognized as “Best Place to Work” by Built In in 2024, 2023 and 2022 SALARY RANGE: Starting at $170,000-$220,000 + Benefits + Opportunity for Performance Bonus This is an estimated range based on the circumstances at the time of posting, however, may change based on a combination of factors, including but not limited to skills, experience, education, market factors, geographical location, budget, and demand.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Data Scientist. Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. In this role, you won't just analyze data - you'll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours. From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you'll have a direct hand in driving measurable results. This role is ideal for someone who excels at turning data into decisions, building repeatable processes, and uncovering insights that drive measurable improvements in revenue performance and patient access. You will lead initiatives across forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, while also shaping how analytics is delivered and scaled across the organization. If you're a builder who loves solving complex problems with data, operational logic, and automation, this opportunity is for you. Essential Responsibilities: Revenue Strategy & Optimization Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling - while balancing access for patients and operational efficiency. Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization. Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization. Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors. Analytics, Insights & Experimentation Develop and maintain forecasting, demand models, dashboards, and scenario analyses. Run experiments and structured tests to evaluate new operational and scheduling strategies. Create clear, actionable insights that influence senior leaders and cross-functional partners. Process Building & Automation Map existing manual workflows and identify opportunities to automate recurring analyses or reporting. Cross-Functional Leadership Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution. Help shape and scale the function by building new playbooks, reports, and best practices. Act as a subject matter expert in forecasting, demand modeling, and capacity optimization. Qualifications (Skills-Based): We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice. Experience/Education: 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred). Bachelor's degree in Business, Finance, Economics, Analytics, or Statistics required; Master's degree a plus. Experience working alongside data science/engineering teams to automate and scale analytics processes. Exceptional analytical, problem-solving, and communication skills - with the ability to influence senior stakeholders. Detail-oriented, self-starter mindset with a passion for driving results. Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization. Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker). Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) - not required, but helpful. Additional Job Description: Base Pay Range: $115,000 - $130,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************

This person is responsible for extracting insights and building predictive models from data. Analyzes curated data, builds ML models, and validates them with experiments. The DS researches and defines business problems and translates them into analytical or ML tasks. Conducts exploratory data analysis to identify patterns, correlations, and anomalies. They will be in charge of designing, training, and evaluating statistical, ML, or AI models. Works with SMEs to determine use cases, model requirements, and alternative solutions. Defines requirements and specifications from which Data Specialists build data structures. Works closely with Data Engineers and customers to ensure correct implementation. Required Experience: Bachelor's in Mathematics, OR, Business, Economics, or related field preferred. Minimum 7+ years designing and implementing mathematical and statistical models. Strong experience with Python/R, PyTorch, Scikit-Learn, Jupyter, visualization, A/B testing. SQL (Oracle, MySQL, or Hive). Oracle DB and Hadoop experience preferred. Ability to work independently and under deadlines. Strong communication and problem-solving skills. Clearance Requirement: Must be a US Citizen with an active DoD Secret security clearance.

Our client is a rapidly growing healthcare organization. They are seeking a Business Intelligence Analyst who will be responsible for all aspects of analytics to meet customers' needs.. The Business Intelligence Analyst provides a single point of contact to partner with customers in defining scope and objectives. Follows the analytics problem-solving methodology. Develop work plans to ensure analysis is completed accurately and on time. Gathers and integrates relevant data, conducts analyses, selects appropriate outputs/visualizations for the end customer, and communicates findings effectively. Ensures adherence to the highest quality standards and maintains appropriate documentation. RESPONSIBILITIES: Design, develop, and maintain business intelligence solutions across the organization Performs functions related to problem definition, data collection, interpretation and analysis, visualization, and presentation/communication of results and recommendations. Train and support end-users of new reports and dashboards Ensures documentation of processes, analytics design, measure definitions, data integration, and development. The responsibilities listed are a general overview of the position, and additional duties may be assigned. Organizational Impact: Executes job responsibilities with the understanding of how output would impact other areas related to own job area/team with occasional guidance. Problem Solving/ Complexity of work: Analyzes moderately complex problems using technical experience and judgment. Breadth of Knowledge: Has expanded knowledge gained through experience within a professional area. Team Interaction: Provides informal guidance and support to team members REQUIREMENTS: 3-7 years of experience as a BI Developer or related auditing/analytical role Experience with a data visualization tool such as Tableau or Power BI (our client uses Tableau) Experience with SQL Must have the ability to solicit requirements from various stakeholders and share findings through data visualization Ability to work independently as well as within a distributed team The role is located in Nashville, TN. The role requires 3-4 days in the office per week. Bachelor's Degree - Required Preferred: Experience within the healthcare industry strongly preferred. **Sorry no recruiting partners need. Candidates must be authorized to work in the United States. Our client is not open to sponsorship.**

Chicago Based, no relocation support; We are looking to fill this role ASAP *This role is intended to be converted to a full-time position for the right candidate. *No ChatGPT during interview The AI Data Strategy Intern will play a key role in advancing data-driven decision-making processes while contributing to the development of AI models and supporting and enhancing the organization's AI environment. Reporting to the Director of Data Strategy, the intern will work with diverse datasets, explore their sources, and utilize the Datawarehouse for data extraction, transformation, and analysis. This role offers an excellent opportunity to gain hands-on experience in AI and data analytics while supporting the mission to strengthen faith communities and make a meaningful impact. Essential Functions & Job Performance Criteria Analyze donor data to uncover insights and patterns. Utilize SQL to cleanse, transform, and extract donor information. Assist in developing and maintaining fundraising performance reports using Power BI. Contribute to the development, maintenance, and optimization of AI models to support predictive fundraising outcomes and other organizational initiatives. Support and enhance the organization's AI environment, ensuring its effective use in analytics and decision-making. Perform data management tasks such as deduplication, migration, and addressing data integrity issues. Adhere to security standards and protocols in handling donor information. Troubleshoot and resolve data-related challenges effectively. Identify opportunities for process enhancement and efficiency within fundraising operations. Assist with other duties as needed to support fundraising and AI-related initiatives. Qualifications Pursuing or holding a bachelor's degree in Data Science, Computer Science, or Engineering Proficiency in data structures and SQL, with strong data manipulation skills. Familiarity with data analytics concepts and AI/ML fundamentals. Interest in AI development and its applications. Strong problem-solving skills with a technical mindset. Ability to communicate analysis results to both technical and non-technical audiences. Demonstrates a growth mindset and a positive attitude. Interest in working with data for performance measurement, decision-making, and AI applications. Ability to collaborate effectively in a team-oriented, fast-paced environment at our downtown Chicago location. Strong organizational and prioritization skills. Capacity to work independently while maintaining open communication. Self-motivated with excellent organizational abilities. Demonstrates personal integrity, credibility, and a dedication to the organization's mission. Appreciation for and understanding of the teachings and traditions of the Roman Catholic Church. A passion for your field and a sense of humor. Full time position but part time optional if need be (students only)

BUILT TO CONNECT At Astec, we believe in the power of connection and the importance of building long-lasting relationships with our employees, customers and the communities we call home. With a team more than 4,000 strong, our employees are our #1 advantage. We invest in skills training and provide opportunities for career development to help you grow along with the business. We offer programs that support physical safety, as well as benefits and resources to enhance total health and wellbeing, so you can be your best at work and at home. Our equipment is used to build the roads and infrastructure that connects us to each other and to the goods and services we use. We are an industry leader known for delivering innovative solutions that create value for our customers. As our industry evolves, we are using new technology and data like never before. We're looking for creative problem solvers to build the future with us. Connect with us today and build your career at Astec. LOCATION: Chattanooga, TN On-site / Hybrid (Role must report on-site regularly) ABOUT THE POSITION The Data Scientist will play a key role in establishing the analytical foundation of Astec Smart Services. This individual will lead efforts to build pipelines from source to cloud, define data workflows, build predictive models, and help guide the team's approach to turning data into customer value. He or she will work closely within Smart Services and cross-functionally to ensure insights are actionable and impactful. The role blends Data architecture, data engineering, and data science to help build Smart Services analytical foundation. This person will be instrumental in helping to build Astec's digital transformation and aftermarket strategy. Deliverables & Responsibilities Data Engineering: Build and maintain robust data pipelines for ingestion, transformation, and storage. Optimize ETL processes for scalability and performance. Data Architecture: Design and implement data models that support analytics and operational needs. Define standards for data governance, security, and integration. Data Science: Develop predictive models and advanced analytics to support business decisions. Apply statistical and machine learning techniques to large datasets. Strong business acumen to understand decision drivers with internal and external customers Collaborate with individuals and departments across the company to ensure insights are aligned with customer needs and drive value. To be successful in this role, your experience and competencies are: Bachelor's degree in data science, engineering, or related field. (Adv. degrees a plus.) 5+ years of experience in data science, including at least 3 years in industrial or operational environments. Strong communication and project management skills are critical. Proficiency in data pipeline tools (e.g., Spark, Airflow) and cloud platforms (Azure, AWS, GCP). Strong understanding of data modeling principles and database technologies (SQL/NoSQL). Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical analysis. Ability to work across data architecture design and data science experimentation. Programming: Python, SQL, and optionally Scala or Java. Familiarity with distributed systems and big data technologies. Strong communication skills for translating technical insights into business value. Ability to work across technical, commercial, and customer-facing teams. Supervisor and Leadership Expectations This role will not have supervisory or managerial responsibilities. This role will have program management responsibilities. Our Culture and Values Employees that become part of Astec embody the values below throughout their work. Continuous devotion to meeting the needs of our customers Honesty and integrity in all aspects of business Respect for all individuals Preserving entrepreneurial spirit and innovation Safety, quality and productivity as means to ensure success EQUAL OPPORTUNITY EMPLOYER As an Equal Opportunity Employer, Astec does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,000 health and wellness offices across 47 states in three distinct categories: Dental care, urgent care, and medical aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Animal Hospitals and Chapter Aesthetic Studios. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Senior Analyst, Data & Insights supporting our WellNow Urgent Care brand. This role is responsible for leveraging data and transforming it into insights and reporting that can be utilized across all levels of the organization. This role will be engaged in driving the business both through support of our business partners in both the offices and field teams along with informing strategy for our Executive Leadership Team. Responsibilities As a Senior Analyst, Data & Insights you will be responsible for: Supporting the WellNow brand through the development of a common approach and infrastructure to data sources built to support enterprise-wide reporting Capture and translate business requirements for reporting from executive leadership Developing key data sources in BigQuery through use of SQL, Power BI, or other reporting languages & tools Synthesizing insights from various data sources and presenting data in an easy-to-read manner Become organizational expert on data sources and how to extract data from all systems. Ability to combine multiple data sources; strong attention to detail and data integrity. Work across departments to understand how their work impacts the performance of the business deriving metrics to measure results Identify key opportunities to drive transparency and turn data into insights and action. Leading organization in implementing a standardized, consistent approach to reporting, with a strong focus on user experience to drive usage. Utilizing data to uncover trends and insights, connecting changes in operational metrics to broader business performance, and craft compelling narratives that inform stakeholders and drive strategic decision-making. Ad-hoc analytical projects as needed. Minimum Education and Experience BA or BS in Data Analytics, Finance, Business or other degree with equivalent work experience in analysis or insights-based roles. 3+ years of experience in data analytics or similar analysis-driven roles required. Required experience partnering with both key business stakeholders and IT departments. Experience writing in SQL or BigQuery is required. Experience using data visualization software like Tableau or PowerBI is required. Ability to find and query appropriate data from databases, along with validating and reviewing data and reports for accuracy and completion Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Advanced skills with Microsoft Excel and PowerPoint are required. Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $87,500-105k, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match If you are an applicant residing in California, please view our privacy policy here: ********************************************************************************* View CA Privacy Policy

Mid-Level Product Analyst | Nashville, TN (Hybrid Onsite) 6 Month Contract-to-Hire Compensation: $37 per hour A large, well-established healthcare organization is hiring a Mid-Level Product Analyst to support a nurse-navigation application that analyzes EMR-sourced data to identify eligible patients. This role is highly technical and data-focused. It is not a traditional Business Analyst position. Hybrid: Onsite two days per week after ramp-up (four days per week onsite during the first month) Start Date: ASAP after background, credit, and drug screen Duration: Six month contract-to-hire Hiring Manager: Director of Care Management Applications Role Overview: * Serve as the subject matter expert for the application and its data rules * Validate data flows and troubleshoot patient eligibility logic * Perform SQL-driven analysis, data discovery, and root-cause investigations * Ensure accurate volume identification and explainability for internal nursing users Top Skills Needed: * Strong data analysis skills, including SQL * EMR or HL7 experience preferred * Bachelor's degree required Interview Process: * First interview: Virtual with hiring manager * Second interview: Virtual or onsite panel with Product Analyst team * Third interview: Virtual with the AVP Why This Role Stands Out: * Exposure to enterprise healthcare data environments * Deep technical focus on data validation and rule logic * Opportunity to support an impactful clinical-facing product * Strong leadership team with a history of successful placements Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan.

Are you a master translator who can bridge the gap between investment operations and technology? Do you thrive on solving complex problems and designing elegant solutions? We're looking for a talented Business Analyst to join our client's team, working with cutting-edge investment systems and collaborating with top-notch professionals. Key Responsibilities: Configure and enhance Charles River systems to meet evolving business needs Analyze trading lifecycle workflows and design technical solutions Lead requirements gathering and documentation using Agile/Scrum methodologies Design and execute comprehensive test plans Serve as a technical consultant for various teams, solving problems and optimizing workflows Monitor production platforms and resolve issues Leverage SQL expertise to conduct data analysis and validate system behavior Collaborate on projects, staying current with Charles River capabilities and best practices What You'll Need: Bachelor's degree in a relevant field (business, finance, computer science) 3+ years of Charles River configuration experience 1+ year of Charles River Compliance experience 6-8 years of experience in investment management systems and business analysis Strong SQL skills and understanding of trading lifecycle and settlement workflows Agile/Scrum expertise and excellent analytical and problem-solving abilities What We Offer: Permanent opportunity with a generous salary, bonus up to 30K, and amazing benefits World-class working environment Opportunities for growth and professional development

Minimum Qualifications: ● 5+ years of experience leading data science projects that have a direct impact on a company's objectives or PhD degree in quantitative fields such as Statistics, Data Science, Computer Science with 3+ years of experience ● 5+ years of experience utilizing data mining techniques, ML models to assist business decision making. Hands-on experience with deep learning frameworks , LLMs, GenAI tools, and NLP techniques. ● Deep expertise in statistical methods and machine learning concepts, with the ability to mentor team members on methodologies, model tuning, and evaluation techniques. ● 2+ years hands-on experience with deep learning frameworks, LLMs, GenAI tools, and NLP techniques. ● 5+ years of experience using Python to process large, diverse datasets, and develop and deploy predictive models in cloud-based environments and other computing platforms. ● 5+ years of experience in SQL and cloud-hosted data platforms (Google Cloud Platform, AWS, etc.). ● Demonstrated ability to assist business decision-making through data mining and machine learning. ● Strong communication skills to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions. ● Ability to translate complex business problems into actionable project plans and solve

Job Title: Architect / Senior Data Engineer We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimize our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and dbt, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modeling best practices. Key Responsibilities Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and dbt. Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs. Lead the modernization and migration of legacy data systems to cloud-native architectures. Define and enforce data engineering best practices including coding standards, CI/CD, testing, and monitoring. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions. Optimize Snowflake performance through query tuning, warehouse sizing, and cost management. Establish and maintain data governance, security, and compliance standards across the data platform. Mentor and guide junior data engineers, providing technical leadership and direction. Required Skills & Qualifications 8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment. Hands-on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM. Strong experience with Snowflake - data modeling, warehouse design, performance optimization, and cost governance. Proven experience with dbt (data build tool) - model development, documentation, and deployment automation. Proficient in SQL, Python, and ETL/ELT pipeline development. Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.). Familiarity with data governance and security best practices, including role-based access control and data masking. Strong understanding of data modeling techniques (Kimball, Data Vault, etc.) and data architecture principles. Preferred Qualifications AWS Certification (e.g., AWS Certified Data Analytics - Specialty, Solutions Architect). Strong communication and collaboration skills, with a track record of working in agile environments.

Krasan Consulting Services is a Chicago boutique management consulting and technology solutions integrator. As a certified BEP WBE with the State of Illinois and a certified WBE, MBE, and DBE recognized by the City of Chicago, Krasan provides complex technology solutions and services for clients in the Public and Commercial sectors. With decades of experience, Krasan specializes in end-to-end technology solutions, integration, and implementation services and is proud to enable the success of our customers. Role Title: Data Architect Location - Remote - Springfield, IL Job Description: Determine where the data resides. Create an architectural design for migration. Plan the migration path from start to finish. Collaborate with the IEPA during system design. Confirm data security and integrity during migration. Design and integrate the business and technical components of the EIMS, including future enhancements. Confirm the solution meets all IEPA requirements and integrates seamlessly with other environmental information systems. Provide technical leadership and guidance to development teams. Confirm system compliance with relevant regulations Minimum seven (7) years of experience in solution architecture and system integration. Knowledge of environmental information or permitting systems and interoperability. Experience with technical leadership and project management. Knowledge of CROMERR and FedRAMP solution design. Experience serving as Offeror's business architect (or similar role) for at least two (2) full life cycle implementations of the offered solution end-to-end. 2013

Data Engineering Lead/Architect Contract-to-Hire Banking Experience is highly preferred Ideal Candidate: Experienced in a banking data modernization effort previously and can help lead/mentor the data engineering team. This individual needs to have a good solutioning/creative mindset and be willing to speak up. Data Engineering Lead/Solution Architect The ideal candidate will have a deep understanding of Microsoft data services, including Azure Fabric, Azure Data Factory (ADF), Azure Synapse, and ETL/ELT processes. This role focuses on designing, developing, and maintaining cloud-based data pipelines and solutions to drive our analytics and business intelligence capabilities. Key Responsibilities: Provide technical leadership in modernizing legacy data ingestion, ETL/ELT, and databases to cloud technologies (AWS/Azure). Demonstrate a self-driven, ownership mindset to navigate ambiguity, resolve constraints, and mitigate risks with minimal supervision. Implement data access, classification, and security patterns that comply with regulatory standards (PII, locational data, contractual obligations, etc.). Build strong relationships with technical teams through effective communication, presentation, and collaboration skills. Collaborate with stakeholders, business analysts, and SMEs to translate business requirements into scalable solutions. Integrate data from multiple sources into cloud-based architectures, collaborating with cross-functional teams. Work closely with data scientists, analysts, and stakeholders to meet data requirements with high-quality solutions. Function within a matrixed team environment, sharing responsibilities across various teams. Perform data profiling and analysis on both structured and unstructured data. Design and map ETL/ELT pipelines for new or modified data streams, ensuring integration into on-prem or cloud-based data storage. Automate, validate and maintain ETL/ELT processes using technologies such as Databricks, ADF, SSIS, Spark, Python, and Scala. Proactively identify design, scope, or development issues and provide recommendations for improvement. Conduct unit, system, and integration testing for ETL/ELT solutions, ensuring defects are resolved. Create detailed documentation for data processes, architectures, and workflows. Monitor and optimize the performance of data pipelines and databases. Required Skills and Qualifications: experience in designing and implementing data warehouse and analytics solutions (on-premise and cloud). expertise in data warehousing concepts (ETL/ELT, data quality management, privacy/security, MDM) with hands-on experience using ADF, Data Factory, SSIS, and related tools. experience with cloud data and cloud-native data lakes/warehouses. Microsoft Azure services (Fabric Lakehouse, ADF, Data Factory, Synapse, etc.). experience in Python, Scala, or Java for use with distributed processing and analytics, such as Spark. Familiarity with CI/CD practices and tools such as Azure DevOps, Git, or Jenkins. Soft Skills: Proven ability to mentor team members and guide best practices for data engineering. Strong problem-solving skills with high attention to detail. Excellent communication skills for effective collaboration with diverse teams. Nice to Have: Experience with Snowflake, Databricks, AWS Experience with containerization, microservices, streaming, and event-sourcing architecture patterns. Knowledge of Kafka, Eventstream, architectures. Experience with Microsoft Purview Previous experience in the financial or banking sector. Familiarity with machine learning concepts and frameworks. Experience with reporting tools such as Power BI or Tableau. Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).

Sr Payments Product Analyst Start - asap Responsibilities: identify sources, monitor, analyze, and interpret key product performance metrics including financials, network volumes, other key statistics, and internal/external customer feedback trends, then develop and communicate findings, and make strategic and tactical recommendations for performance improvements. Define and execute strategic product road-maps to build new products, enhance existing products, or improve performance. Collaborate with internal and external stakeholders to develop strategies and methodologies to on-board new partners. Track and understand industry trends, research findings, and competitive innovations. Provide business analysis and reporting on a periodic basis. Collaborate with cross functional teams to develop or support sales efforts or go-to-market strategies. Serve as Product Management business lead on cross-functional teams, including internal departments such as Sales, Operations, Legal, Marketing, Finance, Technology in the evaluation, development, management, and/or enhancement of assigned products and/or programs. Business Problem Solving: Identify business challenges and opportunities for improvement, develop hypotheses, and create analytical frameworks to test solutions and make strategic recommendations. Process Optimization: Enhance, optimize, and automate existing business processes and operations to drive efficiency. Stakeholder Communication: Present findings, recommendations, and project progress to management and cross-functional partners, influencing key business decisions through data-backed insights. Qualifications: Experience: 5-10 years in product analysis, product strategy, or related roles. Domain Expertise: Strong background in payments or financial technology. Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support data-informed task execution. Familiarity with AI-enhanced platforms is a plus. A solid understanding of AI capabilities and limitations including ethical considerations is expected Proven ability to work independently while being a collaborative team player. Excellent communication and interpersonal skills; friendly and approachable. Strong analytical and problem-solving abilities. Comfortable working in fast-paced environments with immediate deliverables.