Data analyst jobs in Bloomington, IN

We are seeking a Junior Data Scientist to join our large Utility client in downtown Indianapolis. This position will be hired as a Full-Time employee. This entry-level position is perfect for individuals eager to tackle real-world energy challenges through data exploration, predictive modeling, and collaborative problem-solving. As part of our team, you'll work closely with seasoned data scientists, analysts, architects, engineers, and governance specialists to generate insights that power smarter decisions and help shape the future of energy. Key Responsibilities Partner cross-functionally with data scientists, data architects and engineers, machine learning engineers, data analysts, and data governance experts to deliver integrated data solutions. Collaborate with business stakeholders and analysts to define clear project requirements. Collect, clean, and preprocess both structured and unstructured data from utility systems (e.g., meter data, customer data). Conduct exploratory data analysis to uncover trends, anomalies, and opportunities to enhance grid operations and customer service. Apply traditional machine learning techniques and generative AI tools to build predictive models that address utility-focused challenges, particularly in the customer domain (e.g., outage restoration, program adoption, revenue assurance). Present insights to internal stakeholders in a clear, compelling format, including data visualizations that drive predictive decision-making. Document methodologies, workflows, and results to ensure transparency and reproducibility. Serve as a champion of data and AI across all levels of the client's US Utilities organization. Stay informed on emerging industry trends in utility analytics and machine learning. Requirements Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or Ph.D. is preferred. 1-3 years of experience in a data science or analytics role. Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc. Proficiency in Python or R, with experience using libraries such as pandas, NumPy, and scikit-learn. Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc. Familiarity with generative AI tools and techniques, including large language models (LLMs) and Retrieval-Augmented Generation (RAG), with an understanding of how these can be applied to enhance contextual relevance and integrate enterprise data into intelligent workflows. Proficiency in SQL, with experience writing complex queries and working with relational data structures. Google BigQuery experience is preferred, including the use of views, tables, materialized views, stored procedures, etc. Proficient in Git for version control, including repository management, branching, merging, and collaborating on code and notebooks in data science projects. Experience integrating Git with CI/CD pipelines to automate testing and deployment is preferred. Experience with cloud computing platforms (GCP preferred). Ability to manage multiple priorities in a fast-paced environment. Interest in learning more about the customer-facing side of the utility industry. Compensation: Up to $130,000 per year annual salary. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.

Senior Data Engineer - Azure Data Warehouse (5-7+ Years Experience) Long term renewing contract Azure-based data warehouse and dashboarding initiatives. Work alongside architects, analysts, and researchers to build scalable, auditable, and business-aligned data assets using modern cloud tools and best practices. Key Responsibilities · Design and implement scalable data pipelines using ADF, Databricks, and Azure SQL Server · Apply Medallion architecture principles and best practices for data lake and warehouse design · Collaborate with Data Architects, Analysts, and Researchers to translate business needs into technical solutions · Develop and maintain CI/CD pipelines for data workflows and dashboard deployments · Lead troubleshooting and debugging efforts across ETL, SQL, and cloud environments · Mentor junior team members and promote best practices in data modeling, cleansing, and promotion · Support dashboarding initiatives with Power BI and wireframe collaboration · Ensure auditability, lineage, and performance across SQL Server and Oracle environments Required Skills & Experience · 5-7+ years in data engineering, data warehouse design, and ETL development · Strong expertise in Azure Data Factory, Data Bricks, and Python · Deep understanding of SQL Server, Oracle, Postgres SQL & Cosmos DB and data modeling standards · Proven experience with Medallion architecture and data Lakehouse best practices · Hands-on with CI/CD, DevOps, and deployment automation · Agile mindset with ability to manage multiple priorities and deliver on time · Excellent communication and documentation skills Bonus Skills · Experience with GCP or AWS · Familiarity with Jira, Confluence, and AppDynamics

Job Description Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders. Job Summary: The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders. Key Responsibilities: Gather, clean, and organize large datasets from various sources. Validate and verify data accuracy, consistency, and completeness across various data sources. Identify and resolve data discrepancies, inconsistencies and errors. Performa routine and ad hoc data quality checks using automated and manual validation techniques. Work closely with data entry teams and other analysts and stakeholders to ensure data integrity. Perform data analysis to identify trends, patterns, and correlations. Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI. Collaborate with cross-functional teams to support business objectives. Interpret data to provide strategic recommendations and business insights. Ensure data accuracy and integrity. Use statistical techniques and predictive modeling to improve decision-making. Document processes and methodologies for data collection and analysis. Required Skills & Qualifications: Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to work independently and in a team-oriented environment. Attention to detail and a strong understanding of data governance principles. Preferred Qualifications: Experience in machine learning, predictive modeling, or statistical analysis. Knowledge of database management and ETL (Extract, Transform, Load) processes. Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

Full-time Description Data Quality Analyst Indianapolis, IN Key Responsibilities: · Perform data quality assessments on immunization records, including de-duplication, validation, and standardization. · Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets. · Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors. · Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy. · Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping. · Investigate data anomalies, troubleshoot submission issues, and recommend process improvements. · Document data quality rules, methodologies, and best practices for internal and external stakeholders. · Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data. · Perform other duties as assigned. Requirements Key Responsibilities: · Perform data quality assessments on immunization records, including de-duplication, validation, and standardization. · Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets. · Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors. · Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy. · Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping. · Investigate data anomalies, troubleshoot submission issues, and recommend process improvements. · Document data quality rules, methodologies, and best practices for internal and external stakeholders. · Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data. · Perform other duties as assigned.

Our client, a leader in the life sciences and diagnostics industry, is looking for a “Data Analyst - Product Performance” based in Indianapolis, IN. Duration: Long-Term Contract is a hybrid role) Key Responsibilities: Assist the Diabetes Care Indianapolis Manufacturing Product Performance team with software applications supporting manufacturing processes. Develop reports and visualizations, analyze data, and provide process improvement recommendations. Work independently and collaborate with team members to investigate solutions. Exchange technical information across sites and networks. Administer COTS applications for proper performance. Interact with IT teams (Active Directory, Windows Server, SQL, etc.). Use ServiceNow for incident and change management. Support automation and simplification of processes. Assist in managing complex systems and interfaces. Qualifications: Proficient in SAS or other data analysis tools. Minimum 1-2 years of experience, ideally gained during college studies or post-graduation, demonstrating proficiency in analytics and data visualization. 2+ years of experience in systems development and manufacturing support in Life Sciences would be preferred. Preferred: Familiarity with ServiceNow, laboratory data systems, and quality analytics. Strong networking knowledge (VLANs, SNMP, switches, firewalls). Proven troubleshooting skills in manufacturing. Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K Interested! Please apply or send your resume to ********************** / ************************.

V2X is growing, and we're looking for a Data Analyst to join our team! This role is a critical part of our Manufacturing and Depot Operations (MDO), helping the team harness data to drive operational excellence and improve decision-making. The successful candidate will collect, analyze, and report on data from S4/HANA and other tools to identify opportunities for improvement and support proactive management of key operational areas. **Responsibilities:** + Extract and analyze operational data from S4/HANA and other systems to identify trends, patterns, and insights. + Build reports and dashboards to communicate data findings and empower MDO Leadership with meaningful, actionable information. + Identify gaps or bottlenecks in operations using data-driven insights, highlighting areas needing attention. + Provide analytics support for operational efficiency projects, process improvements, and performance metrics tracking. + Proactively research and interpret data to monitor key performance indicators (KPIs) and identify potential risks or opportunities. **Required Skills:** + 1-3 years of experience in a data-focused role OR demonstrable expertise in analyzing large datasets and leveraging ERP systems like S4/HANA. + Must be a US Citizen with active US Government Secret Security Clearance or ability to obtain a Secret Clearance. **Skills & Technology Used:** + Advanced knowledge of Excel (e.g., pivot tables, formulas, data models, Power Query, etc.). + Experience working with S4/HANA or similar ERP/reporting systems preferred. **Education / Certifications:** + Bachelor's degree in a relevant field (e.g., Data Analytics, Supply Chain Management, Business, Computer Science, or related discipline). Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (**************************** notice from the Department of Labor.

Job Description Data Analyst is responsible forcollecting, processing, and analyzing data to help make data-driven decisions.This role involves working with large datasets, identifying trends, creatingreports, and providing actionable insights to stakeholders. Job Summary: The Data Analyst is responsible forcollecting, processing, and analyzing data to help organizations makedata-driven decisions. This role involves working with large datasets,identifying trends, creating reports, and providing actionable insights to stakeholders. Key Responsibilities: Gather, clean, and organize largedatasets from various sources. Validate and verify data accuracy,consistency, and completeness across various data sources. Identify and resolve datadiscrepancies, inconsistencies and errors. Performa routine and ad hoc dataquality checks using automated and manual validation techniques. Work closely with data entry teams andother analysts and stakeholders to ensure data integrity. Perform data analysis to identifytrends, patterns, and correlations. Develop reports, dashboards, andvisualizations using tools like Excel, SQL, Tableau, or Power BI. Collaborate with cross-functional teamsto support business objectives. Interpret data to provide strategicrecommendations and business insights. Ensure data accuracy and integrity. Use statistical techniques andpredictive modeling to improve decision-making. Document processes and methodologiesfor data collection and analysis. Required Skills & Qualifications: Bachelors degree in Statistics,Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools suchas SQL, Python, R, or Excel. Experience with data visualizationtools like Tableau, Power BI, or Google Data Studio. Strong analytical and problem-solvingskills. Excellent communication andpresentation abilities. Ability to work independently and in ateam-oriented environment. Attention to detail and a strongunderstanding of data governance principles. Preferred Qualifications: Experience in machine learning,predictive modeling, or statistical analysis. Knowledge of database management and ETL (Extract, Transform, Load) processes. Familiarity with cloud platforms suchas AWS, Google Cloud, or Azure. Skill Matrix: Required / Desired Amount of Experience Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field Required Proficiency in data analysis tools such as SQL, Python, R, or Excel. Required 3 Years Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Required 3 Years Strong analytical and problem-solving skills. Required 3 Years Excellent communication and presentation abilities. Required 3 Years Ability to work independently and in a team-oriented environment. Required 3 Years Attention to detail and a strong understanding of data governance principles. Required 3 Years

Job Description Work Arrangement: Hybrid Engagement Type: Contract NOTE: Applications with resumes in PDF Format will be automatically rejected. Only Word format resumes will be considered. Short Description: The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS). Complete Description: Local candidates only. This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes. Key Responsibilities: · Perform data quality assessments on immunization records, including de-duplication, validation, and standardization. · Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets. · Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors. · Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy. · Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping. · Investigate data anomalies, troubleshoot submission issues, and recommend process improvements. · Document data quality rules, methodologies, and best practices for internal and external stakeholders. · Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data. · Perform other duties as assigned.

V2X is growing, and we're looking for a Data Analyst to join our team! This role is a critical part of our Manufacturing and Depot Operations (MDO), helping the team harness data to drive operational excellence and improve decision-making. The successful candidate will collect, analyze, and report on data from S4/HANA and other tools to identify opportunities for improvement and support proactive management of key operational areas. Responsibilities: * Extract and analyze operational data from S4/HANA and other systems to identify trends, patterns, and insights. * Build reports and dashboards to communicate data findings and empower MDO Leadership with meaningful, actionable information. * Identify gaps or bottlenecks in operations using data-driven insights, highlighting areas needing attention. * Provide analytics support for operational efficiency projects, process improvements, and performance metrics tracking. * Proactively research and interpret data to monitor key performance indicators (KPIs) and identify potential risks or opportunities. Required Skills: * 1-3 years of experience in a data-focused role OR demonstrable expertise in analyzing large datasets and leveraging ERP systems like S4/HANA. * Must be a US Citizen with active US Government Secret Security Clearance or ability to obtain a Secret Clearance. Skills & Technology Used: * Advanced knowledge of Excel (e.g., pivot tables, formulas, data models, Power Query, etc.). * Experience working with S4/HANA or similar ERP/reporting systems preferred. Education / Certifications: * Bachelor's degree in a relevant field (e.g., Data Analytics, Supply Chain Management, Business, Computer Science, or related discipline).

At TA Services, we don't just move freight - we move business forward. Since 1986, we've been delivering peak performance for our customers through our Freight Brokerages, Managed Transportation, Warehousing & Fulfillment, Mills Services, and Cross-Border Logistics. What sets us apart? Our people! At TA, culture isn't an afterthought - it's a competitive advantage. We're intentional about building a workplace where you're supported, challenged, and equipped to grow. From day one, you'll get the tools, training, and trust to unlock your full potential. We believe when the right people live the right values, there's no limit to what we can achieve. If you're driven, collaborative, and ready to win, you'll fit right in. Here's what drives us: · People First - We lead with care, connection, and respect. · Service - Our customers, carrier partners, and team members deserve nothing less than excellence. · Safety - Built into every move we make. · Results - High standards. Real outcomes. · Innovation - We push boundaries and never settle. Sound like the kind of team you want to be part of? Let's take a closer look at the role Job Description The Data Analyst supports warehouse and site leadership by managing data within all WMS systems and turning that information into meaningful insights. This role works closely with operations teams to identify opportunities, improve processes, and build reporting tools that help drive decisions across the facility. Schedule: Full-time | Standard business hours (Mon-Fri, 8am-5pm) with flexibility during peak times. Key Responsibilities Partner with warehouse leaders to identify improvement opportunities Build and maintain dashboards, reports, and data visualizations Collect, structure, and analyze large data sets to support operational decisions Automate and streamline data collection and reporting processes Serve as the subject matter expert for WMS platforms including Oracle, ASC Trac, and HighJump Work Environment: Office and warehouse setting; may involve standing, walking, climbing stairs, and occasionally lifting up to 25 lbs. Vision requirements include close, distance, color, peripheral, and depth perception. Qualifications Education Bachelor's Degree in Business Analytics or a related field required. Experience 1-3 years of experience in a Data Analyst role. Strong mathematical and analytical skills. Proficiency with Microsoft Office (Excel, Access, Power BI, PowerPoint, Word). Technical proficiency in database design, data modeling, mining, and segmentation. Knowledge of programming languages such as SQL, Oracle, DAX, and C++. Familiarity with WMS systems including Oracle, ASC Trac, and HighJump. Personality Traits Excellent interpersonal and communication skills. Ability to work effectively with all levels of management and individual contributors. Strong problem-solving ability, adaptability, and resilience under tight deadlines. Willingness to work cross-functionally in a team-oriented environment. Additional Information Pay/Benefits/Perks Annual Salary: 50K - 60K Accrue up to five days PTO in the first year; two weeks vacation plus one week PTO accrue at first anniversary Medical, Dental, Vision, Life Insurance, Disability Additional benefits: Doc-On-Demand, Tuition Reimbursement, Paid Volunteer Day, Employee Assistance Program All your information will be kept confidential according to EEO guidelines.

About Brite Brite Systems is an Information Technology company specializing in consulting and software development. We have successfully implemented solutions for the public and private sectors since 2006. Brite Systems offers competitive benefits such as (but not limited to) group Medical, Dental, Vision, and Life insurance, Paid Leave, 401-K match, etc. We focus on providing our clients with simplified, innovative technology solutions to improve and streamline the user experience. Brite Systems confidently brings the right people, a customized approach, and a successful track record to each opportunity. If you are looking to be part of a strong, collaborative culture, Brite Systems is the place for you to grow your career. The Help Desk/Data Quality Analyst supports the accuracy, completeness, and timeliness of immunization information systems (IIS). This role ensures that data submitted by healthcare providers is validated, standardized, and transformed into actionable insights. A strong foundation in T-SQL is essential for managing large data sets, troubleshooting data quality issues, and developing automated validation processes. Key Responsibilities: Perform data quality assessments on immunization records, including de-duplication, validation, and standardization. Write and optimize T-SQL queries to analyze, clean, and transform large healthcare datasets. Collaborate with providers, IIS staff, and public health partners to identify and resolve data submission errors. Develop data quality dashboards, reports, and performance metrics to track provider compliance and system accuracy. Support implementation of HL7 and IIS data exchange standards by validating message integrity and field mapping. Investigate data anomalies, troubleshoot submission issues, and recommend process improvements. Document data quality rules, methodologies, and best practices for internal and external stakeholders. Preparing reports for leadership that effectively communicate trends, patterns, and predictions using relevant data. Perform other duties as assigned. Brite Systems is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

. Must live in the Indianapolis area. Pay: $27.00/hour In this role you will: Assist with data analysis in databases. Work with oversight staff to help implement the program in Indiana. Provide training and oversight for participating communities to ensure consistency in the data collection, auditing and reporting processes. Outreach to potential project partners in local, regional healthcare as well as community-based partnerships. Work with oversight staff in generating reports and other data requests on schedule. Coordinate communications and meetings with partners and participating EMS agencies and hospitals. Responsible for coordinating the daily operational tasks that are needed for the maintenance of participating and future sites. Troubleshooting database errors and software system issues. Establish and coordinate the data sharing committee. Incorporate interpersonal skills in communication with stakeholder personnel, colleagues, and the public. Collaborate with trauma system stakeholders. Travel will be required.

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Job Summary The Data Governance Analyst will support the development and execution of enterprise-wide data governance initiatives. This role will focus on ensuring the integrity, quality, and protection of data assets through the implementation of governance frameworks, data quality controls, and metadata management practices. The Analyst will work closely with business units, IT, and compliance teams to support the organization's data governance strategy and ensure alignment with regulatory and risk management expectations. Salary Range The annual salary range for this position is $60,000.00 - $121,300.00. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled. Key Accountabilities Data Governance Operations * Assist in the implementation and maintenance of the enterprise data governance framework, including policies, standards, and procedures. * Support the development and execution of data quality rules, issue tracking, and remediation processes. * Maintain and enhance metadata repositories and data catalogs using tools such as Informatica or Microsoft Purview. Data Stewardship and Collaboration * Partner with data owners, stewards, and business units to define and document data definitions, lineage, and usage. * Facilitate working groups and workshops to gather requirements and promote data governance awareness across the organization. Risk and Compliance Support * Monitor and report on data governance metrics, including data quality trends, audit findings, and remediation progress. * Support internal and external audits by providing documentation and evidence of data governance controls and practices. Project and Initiative Support * Contribute to enterprise initiatives such as the Modern Data Platform migration, report certification programs, and regulatory reporting enhancements. * Participate in cross-functional projects to ensure data governance requirements are embedded in system implementations and process changes. Qualifications and Education Requirements * Bachelor's degree in information systems, Business, Risk Management, or a related field. * 2+ years of experience in data governance, data management, or risk/compliance roles. * Familiarity with data governance frameworks (e.g., DCAM, NIST Privacy Framework, FFIEC). * Experience with data quality tools, metadata management platforms, and reporting tools. * Strong analytical, communication, and collaboration skills. Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, to fill a specific position. Our culture is firmly rooted in our core values. We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical. We are Old National Bank. Join our team!

Job Code **4745** \# of Openings **1** Apply Now (**************************************************** Requisition?org=GATEWAYVENT&cws=55&rid=4745) Emerald Isle, a subsidiary of Three Saints Bay, LLC, is an IT Support Services company providing support to government and commercial entities. Emerald Isle is a Program certified, Alaska Native Corporation (ANC)-owned, Small Disadvantaged Business (SDB). We are a subsidiary of Three Saints Bay, LLC, which is owned by Old Harbor Native Corporation. Our Corporate Headquarters is located in Anchorage, AK; our Corporate Office is in Manassas, VA; and our Operations Division is in Hanahan, SC. **Position Responsibilities:** + Performs Data Management/Data Base Assistance tasks in support of Department, Division, Branch, Section, and Project requirements. + Perform data/information management support including the creation and/or review of data dictionaries; information integrity analysis; data source determination and authentication; and evaluation and assessment of information. + Prepare distribution lists and mailing labels for bulk mailings, picking up and delivering technical documentation/mailings/ supplies/ and other correspondence within the confines of NSWC Crane. + Provide data retrieval, management and distribution for technical documents and records residing in approved data repository databases. + Receive documents, maintain an automated logging system, remove and release documents as requested, maintains a record or master of copy holders, and provides reproduction and distribution. + Receive or scan government furnished information (GFI) including management, technical and engineering documents into databases. + Use the iPDM system or other data management tools to track Research, Development, Test and Evaluation (RDT&E) equipment and Information Technology (IT) inventory. + Upload and assign control numbers in iPDM for Engineering Change Proposals (ECPs), Deviations and Waivers, Drawings, Change + Requests and Technical Documents. + Review and evaluate program management data. Provide analyses and written recommendations, with supporting evidence for + Government acceptance or rejection, taking into consideration mission and specified requirements. + Coordinate, compile, and entersrequired performance related data into various reports, analyzes the data and makes recommendations on implementation improvement areas, techniques and processes. + Manage new data management tool account access for the Department/Division and assist personnel in completing actions including reviews and document upload/retrieval of ECPs, deviations and waivers. **Position Requirements:** + US Citizen. + Must be able to obtain and maintain an Active Secret Clearance; Active Secret Security Clearance preferred. + Bachelor's Degree from accredited college or university or equivalent combination formal education, work experience and on the job training. + Two to five (2-5) years of professional experience in a program/data analyst role. + Valid Driver's License. + Ability to multi-task effectively. + Excellent attention to detail. + Excellent MS Office Suite skills, testing may be required. + Excellent written and verbal communication skills. + Well-developed interpersonal skills **Apply directly at:** *************************************************** Requisition?org=GATEWAYVENT&cws=46&rid=4745 VEVRAA Federal Contractor Three Saints Bay, LLC and its subsidiaries offer a diverse, team-oriented working environment and the opportunity to work with exceptional dedicated industry professionals. We offer our employees a comprehensive benefits package and the opportunity to take part in exciting projects with government and commercial clients, both domestic and international. We are an EEO/AA employer. We invite resumes from all interested parties without regard to race, color, religion, creed, gender, national origin, age, genetic information, marital or veteran status, disability, or any other category protected by federal, state, or local law.

The Indianapolis Colts are seeking a Football Data Analyst to join our Football Analytics team. In this role, you will work closely with our Football Operations departments (Coaching, Personnel/Scouting, and Health & Performance) to develop novel metrics, build statistical models, and turn football data into insights supporting key areas such as in-game strategy, roster construction, and player health and safety. Responsibilities: * Conduct research and analysis on NFL and NCAA football data * Leverage multiple data sources to analyze trends and generate testable hypotheses * Develop and implement predictive models, including but not limited to, gradient boosting, random forests, generalized linear models, and neural networks * Perform ad hoc analyses and provide research support for coaches, front office, and performance departments * Create actionable and interpretable reports on research findings for both technical and non-technical audiences Qualifications: * Strong proficiency programming in Python (preferred) or R * Experience with machine learning and statistical modeling techniques (gradient boosting, regression, classification) * Familiarity with statistical modeling methodologies (e.g. hypothesis testing, regression analysis, data sampling techniques) * Proficiency in writing SQL queries * Demonstrated problem-solving and critical thinking skills * Ability to manage multiple projects with varying deadlines * Strong communication skills Responsibilities and qualifications may change at any time with or without notice. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Milliman's Indianapolis Health practice is seeking a Healthcare Business Analyst Intern (Summer 2026). Our Healthcare Business Analyst internship is designed to give up-and-coming business leaders exposure to key data-driven questions in the healthcare field and provide a look into the support we offer our life sciences client teams on a day-to-day basis. You will be part of a dynamic client delivery team and receive mentoring from colleagues on your team. Successful business analyst interns are interested in both solving data-driven problems and forming trusted relationships with our clients and will display a proficiency for communicating technical results to external audiences less familiar with the underlying data. Responsibilities In this role, you will: Utilize your analytical, written, and verbal communication skills to answer data-driven questions on key topics in the healthcare industry Use complex databases to analyze client data and summarize findings through presentations, spreadsheets, data visualizations, and other reports Develop and track progress on detailed project plans to serve as a critical communication tool Show an aptitude for and interest in developing trusted client-facing relationships Coordinate project reviews and quality assurance procedures Turn data insights into actionable solutions and strategies to solve complex problems Communicate outcomes to audiences who are less familiar with the data Qualifications Possess a working knowledge of mathematical and statistical concepts, alongside a genuine interest in growing into a client-facing consulting role Be a naturally curious self-starter and willing to learn when faced with an unfamiliar subject Be proficient in managing time to ensure successful completion of assigned tasks by deadlines while involved with multiple projects Passionate about building trusted relationships with both external clients and internal colleagues Interested in developing a diverse skill set and taking on a variety of responsibilities across projects Strong presentation, organization, time management skills Detail-oriented and capable of carrying out tasks independently as part of a cross-functional project team Required Currently enrolled in a degree program working toward a Bachelor's degree or higher, with a concentration in a relevant field (e.g., Business Analytics, Statistics, Applied Mathematics) Experience with Microsoft Excel and PowerPoint, or other similar software, for the analysis and communication of quantitative results Exposure to performing data analysis using a quantitative software (e.g., Python, R, SAS, SQL) Internship Highlights 1:1 mentoring Exposure to senior consultants and practice leaders Structured opportunities for professional learning and development i.e. Lunch & Learn Series Guest speaker series covering a wide range of professional development skills Housing or housing stipend Social activities - intern-only and practice-wide Cultural excursions - Get to know Indy by visiting iconic sites Conclude the program with a presentation on a business project or problem to leadership and peers Ample opportunity to discuss transitioning to full-time employment Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future. The Team The life sciences consulting team is a group of 60+ individuals in the Indianapolis Health practice from varying backgrounds including actuaries, data analysts, pharmacists, and graphic designers. This group works primarily with life sciences companies and consults on their relationship with insurance companies and other stakeholders of the pharmaceutical value chain. Location This position is based out of the Milliman office in Indianapolis, IN. Candidates hired into this role must be willing to work onsite full-time. Who We Are Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Milliman invests in skills training and career development, and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERG's) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our web site ***************************************** to learn more about Milliman's commitments to our people, diversity and inclusion, social impact and sustainability. Through a team of professionals ranging from actuaries to clinicians, technology specialists to plan administrators, we offer unparalleled expertise in employee benefits, investment consulting, healthcare, life insurance and financial services, and property and casualty insurance. Benefits We offer competitive benefits which include the following based on plan eligibility: Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges. 401(k) Plan - When an employee reaches 1,000 hours worked within 12 consecutive months, they become eligible for a 401(k) plan that includes a company matching program and profit-sharing contributions. Paid Time Off (PTO) - Begins accruing on the first day of work; Interns, Temporary, and Seasonal Employees will earn PTO each pay period, based on 1 hour for every 30 hours worked. Transportation - Pre-tax savings for eligible transit and parking expenses. Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran. #LI-KM1 #LI-ONSITE

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles within California the range is $68,640 - $90,000 and Washington is $77,969 - $90,000. DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase, and a generous PTO policy. ? Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst II who thrives on solving complex problems, creating powerful visualizations, and delivering actionable insights. This is your chance to be at the heart of operations, influencing strategy and performance in a dynamic warehouse environment. If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you! Job Description As a Business Data Analyst II, you will play a key role in transforming operational data into strategic insights that improve performance, reduce costs, and enhance service levels. You'll collaborate with site leadership and key stakeholders across operations to develop models, dashboards, and reports that guide decision-making and drive continuous improvement. Responsibilities * Develop and maintain Power BI reports to support operational and strategic decisions * Full development of Power BI including data visualization and back-end data model design * Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements * Collaborate with site and sector leadership to identify opportunities for efficiency and cost reduction * Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs * Translate complex data into clear, actionable insights through presentations and reports for internal and customer use * Ability to leverage data from various systems that support our operations (Warehouse Management System, Timekeeping systems, etc.) Required Experience * Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required * 0-2 years of experience in data analytics, business intelligence, or a related field, required * Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred * Proficiency in Power BI, including building dashboards and reports, required * Experience writing DAX expressions to automate and enhance Power BI reports, preferred * Familiarity with statistical concepts and data modeling techniques, preferred * Excellent communication and presentation skills, with the ability to translate data into actionable insights, preferred * Must be able to work fully onsite if role based out of a warehouse, required Our Organization has a business casual environment and focuses on teamwork, associate development, training, and continuous improvement. We offer competitive wages, excellent affordable insurance benefits (including health, dental, vision and life), 401K plan, paid vacation and holidays. Our Organization is an equal opportunity employer. ","title

Onebridge, a Marlabs Company, is an AI and data analytics consulting firm that strives to improve outcomes for the people we serve through data and technology. We have served some of the largest healthcare, life sciences, manufacturing, financial services, and government entities in the U.S. since 2005. We have an exciting opportunity for a highly skilled DataOps Consultant to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015. DataOps Consultant | About You As a DataOps Consultant, you are responsible for ensuring the seamless integration, automation, and optimization of data pipelines and infrastructure. You excel at collaborating with cross-functional teams to deliver scalable and efficient data solutions that meet business needs. With expertise in cloud platforms, data processing tools, and version control, you maintain the reliability and performance of data operations. Your focus on data integrity, quality, and continuous improvement drives the success of data workflows. Always proactive, you are committed to staying ahead of industry trends and solving complex challenges to enhance the organization's data ecosystem. DataOps Consultant | Day-to-Day Develop, deploy, and maintain scalable and efficient data pipelines that handle large volumes of data from various sources. Collaborate with Data Engineers, Data Scientists, and Business Analysts to ensure that data solutions meet business requirements and optimize workflows. Monitor, troubleshoot, and optimize data pipelines to ensure high availability, reliability, and performance. Implement and maintain automation for data ingestion, transformation, and deployment processes to improve efficiency. Ensure data quality by implementing validation checks and continuous monitoring to detect and resolve issues. Document data processes, pipeline configurations, and troubleshooting steps to maintain clarity and consistency across teams. DataOps Consultant | Skills & Experience 5+ years of experience working in DataOps or related fields, with strong hands-on experience in cloud platforms (AWS, Azure, Google Cloud) for data storage, processing, and analytics. Proficiency in programming languages such as Python, Java, or Scala for building and maintaining data pipelines. Experience with data orchestration tools like Apache Airflow, Azure Data Factory, or similar automated data workflows. Expertise in big data processing frameworks (e.g., Apache Kafka, Apache Spark, Hadoop) for handling large volumes of data. Hands-on experience with version control systems such as Git for managing code and deployment pipelines. Solid understanding of data governance, security best practices, and regulatory compliance standards (e.g., GDPR, HIPAA). A Best Place to Work in Indiana since 2015

**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.