Lead Data Analyst jobs at UL - 1144 jobs

Job ID 2025-12906 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Junior Data Analyst responsible for quality delivery of reporting and analysis as part of a Strategic Workforce Analytics program for a U.S. Federal Government Agency. This position will work in a classified environment to produce analyses and visualization to multiple clients within the department, agency, and federal government. The Data Analyst will collaborate with human resources SMEs, data engineers, and developers to query and structure data, develop metrics and visualizations, and deliver reports. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. LMI offers a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flexible work schedules, remote and hybrid work opportunities, and tuition reimbursement are a few of our many work-life benefits available to our employees.Come join the organization consistently ranked as a top workplace! This position requires an active TS/SCI clearance; TS/SCI with polygraph preferred. Responsibilities Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, interpret analytic results, etc. Implement pre-specified research or analysis plans. Provide regular detailed reporting to management and customers Collaborate with the team internal and external timely and proactively Define and develop techniques to integrate, consolidate, and structure data for analytical use. Understand and analyze complex and organization-specific datasets. Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools. Develop briefing packages to communicate complex ideas to non-technical customers. Advise on the interpretation and use of data analysis products and reports. Qualifications Bachelor's degree in science, engineering, mathematics, computer science, economics, human resources, or related discipline Experience developing dashboards using Tableau or other data visualization tools Experience with programming languages like Python or R Excellent communication skills and proven ability to work with business customers and technical teams Active TS/SCI clearance; TS/SCI with polygraph desired. Ability to work in a team-based environment Ability to travel to and work on client sites Highly organized and able to manage multiple projects simultaneously Excellent analytical, problem solving, and presentation skills Excellent customer relationship management skills Desire and willingness to gain technical skills and capabilities in strategy development, talent management, process mapping, organizational change, workforce planning and analysis, data analysis and visualization, and/or competency management, to include desire to obtain relevant industry certifications Management consulting experience desired Experience with tools and methods for project management, data analysis, business analysis, and/or strategic communications and multimedia Innovative problem solving ability Able to work effectively at all levels of an organization. #LI_SH1 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2025-12906 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Junior Data Analyst responsible for quality delivery of reporting and analysis as part of a Strategic Workforce Analytics program for a U.S. Federal Government Agency. This position will work in a classified environment to produce analyses and visualization to multiple clients within the department, agency, and federal government. The Data Analyst will collaborate with human resources SMEs, data engineers, and developers to query and structure data, develop metrics and visualizations, and deliver reports. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. LMI offers a generous compensation package with excellent benefits that start the first day of employment. Business casual dress, flexible work schedules, remote and hybrid work opportunities, and tuition reimbursement are a few of our many work-life benefits available to our employees.Come join the organization consistently ranked as a top workplace! This position requires an active TS/SCI clearance; TS/SCI with polygraph preferred. Responsibilities Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, interpret analytic results, etc. Implement pre-specified research or analysis plans. Provide regular detailed reporting to management and customers Collaborate with the team internal and external timely and proactively Define and develop techniques to integrate, consolidate, and structure data for analytical use. Understand and analyze complex and organization-specific datasets. Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools. Develop briefing packages to communicate complex ideas to non-technical customers. Advise on the interpretation and use of data analysis products and reports. Qualifications Bachelor's degree in science, engineering, mathematics, computer science, economics, human resources, or related discipline Experience developing dashboards using Tableau or other data visualization tools Experience with programming languages like Python or R Excellent communication skills and proven ability to work with business customers and technical teams Active TS/SCI clearance; TS/SCI with polygraph desired. Ability to work in a team-based environment Ability to travel to and work on client sites Highly organized and able to manage multiple projects simultaneously Excellent analytical, problem solving, and presentation skills Excellent customer relationship management skills Desire and willingness to gain technical skills and capabilities in strategy development, talent management, process mapping, organizational change, workforce planning and analysis, data analysis and visualization, and/or competency management, to include desire to obtain relevant industry certifications Management consulting experience desired Experience with tools and methods for project management, data analysis, business analysis, and/or strategic communications and multimedia Innovative problem solving ability Able to work effectively at all levels of an organization. #LI_SH1 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2026-13524 # of Openings 1 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time We are seeking a detail-oriented and proficient Data Analyst to support the evaluation of mental health care and suicide prevention programs for the Department of Veterans Affairs (VA). The successful candidate will perform data analysis, data cleansing, and methodology integration tasks under the supervision of the Lead Quantitative Social Scientist. This role is critical for ensuring the quality and integrity of data used in evaluations mandated by the Clay Hunt Act and Hannon Act. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Key Responsibilities: Data Analysis and Management: Utilize and manage diverse data sets provided by VA's Office of Mental Health (OMH) and Office of Suicide Prevention (OSP), including Veterans Outcome Assessment (VOA), satisfaction surveys, clinical templates, Northeastern Program Evaluation Center (NEPEC) collected data, and performance measures to answer program evaluation and assessment questions. Implement data cleansing and manipulation to ensure data quality and integrity. Conduct statistical analyses and generate analytical data sets as per project requirements. Run tests to validate the quality, integrity, and statistical validity of data sets. Maintain and update databases, ensuring data is stored securely and is easily accessible for analysis. Assist in the development and execution of data analysis methodologies under the guidance of the Lead Quantitative Social Scientist. Evaluation Support: Support the independent evaluation of mental health care and suicide prevention programs to measure effectiveness, cost-effectiveness, and patient satisfaction. Perform comparative analyses to determine program effectiveness across various veteran cohorts, sub-groups, and service gaps. Identify trends, patterns, and correlations within the data to evaluate program performance. Assist in the preparation of annual evaluation reports and Congressionally Mandated Reports (CMR). Reporting and Documentation: Document and organize SAS/SQL/R/Python codes used for data analysis and report generation. Prepare data-driven reports, visualizations, and presentations to convey analytical findings clearly. Use tools like Tableau, Power BI, or custom scripts to visualize data in a way that is easy to understand for stakeholders. Communication and Collaboration: Communicate any data inaccuracies or deficiencies to the Lead Quantitative Social Scientist and assist in proposing solutions. Collaborate with VA program leads, stakeholders, and external partners for data acquisition and methodology review. Participate in discovery phase activities, including data collection, stakeholder interviews, and transition meetings. Quality Assurance: Ensure that all analytical work complies with rigorous research standards. Support the Lead Quantitative Social Scientist in ensuring that deliverables are accurate, comprehensive, and submitted on time. Qualifications Minimum Qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, or a related field. At least 2-3 years of experience in data analysis, data management, data mining, machine learning, and statistical methodologies. Proficiency in statistical analysis software and programming languages such as SAS, SQL, R, and Python. Experience with developing queries for routine data requests and reports. Experience with data visualization tools and techniques such as Tableau, Power BI, or similar for creating reports and dashboards. Strong understanding of data quality assurance and data cleansing processes. Expertise in building and cleaning databases from multiple data sources, combining cost and performance information. Demonstrated ability to pay close attention to detail and ensure high levels of data accuracy. Excellent problem-solving skills with attention to detail. Strong written and verbal communication skills to effectively convey complex data insights to diverse audiences. Ability to work independently as needed. Ability to collaborate with the integrated project team to compile, collate, integrate, and transform large sets of data into simplified, meaningful, and actionable trends and visualizations for non-technical stakeholders. Ability to manage multiple tasks and meet deadlines effectively. Ability to pass a government background investigation, including financial, criminal, residential, educational, foreign affiliation, prohibited substance abuse, and employment verifications. Please note that only U.S. citizens are eligible for a suitability determination Preferred Qualifications: Master's degree in Data Science, Statistics, Computer Science, Public Health, or a related field. Demonstrated experience evaluating Mental Health and Suicide Prevention programs. Understanding of VA evaluation frameworks and regulatory requirements. Experience working with federal contracts, especially within the Department of Veterans Affairs. Previous experience conducting independent assessments and drafting Congressionally Mandated Reports. Target salary range: $55,256 - $86,095 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

We are seeking an experienced SAP EWM professional with 5 to 10 years of expertise in end-to-end implementation, support, and optimization of SAP EWM solutions across multiple industries. The ideal candidate will be skilled in designing global templates, leading rollouts, and integrating EWM with SAP TM, ERP, and third-party systems to streamline warehouse and logistics operations. Responsibilities · Play a critical role in enhancing our warehouse management capabilities by implementing, integrating, and supporting SAP's Decentralized Extended Warehouse Management (EWM) solution with SAP TM and other ECC modules. · Support and enhance Warehouse Management processes for our manufacturing plants leveraging our SAP ECC environment. · Develop and maintain RF scanner transactions to enhance warehouse efficiency and accuracy using SAP Mobile Data Entry solution. · Proactively evaluate business needs and propose innovative system solutions or enhancements to existing functionalities, ensuring optimal support for evolving process requirements. · Draft functional and technical design documents related to relevant applications based on business requirements and store them utilizing Solution Manager. · Write and maintain functional specification documentation to describe solution configuration, process flow, and behavior, testing, defects, and resolution. · Write and perform functional testing to ensure the solution meets specifications and functions correctly utilizing HP ALM. · Create and provide training documents for new or modified processes or functionality for end-users or technical support staff. · Monitor Production support tickets after deployments utilizing Service Now incident system. Qualifications Core Competencies: · Excellent understanding of EWM processes including Inbound, Outbound, Replenishment, Physical Inventory, and other internal processes. · Expertise in RF design and configuration, batch management, handling unit management, and packaging specifications. · Experience in global template design and rollout. · Hands-on experience with SAP-LE (Delivery Processing, Shipping, Inventory Management), PP-PI, Handling Units and Batch Management, PP-WM, and PP-EWM Integration. · Working knowledge of EDI/IDOC. · Integration experience with SAP TM and ERP (MM & SD). People Skills & Core Competencies: · Ability to independently lead workshops, design sessions, and business process documentation to understand challenges and document as-is and to-be processes with both system integrators and business SMEs. · Strong relationship-building skills with both internal and external customers. · Provide regular updates to teammates, management, and stakeholders on work status, progress, and plans. · Stay abreast of best business practices by participating in discussion forums, seminars, training, user groups, Internet sources, and other organizations. · Skilled in utilizing Solution Manager Charm for managing transports along with presenting changes in CAB (Change Approval Board). · Proficient in using HP ALM to create, organize, and manage comprehensive test processes and documentation. · Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders. · Experience in people management through guidance, workload distribution, and ongoing support; focused on developing team members by leveraging their strengths and enhancing their skill sets. · Proven leadership in training business users and driving digital transformation initiatives in supply chain management. Education/Experience: · Bachelor's degree in computer science, Information Systems, or Engineering. · 5+ years of SAP Extended Warehouse Management experience. · 10+ years of SAP experience. · 3+ years of SAP S/4HANA experience (preferred). · Integration experience with P2P, FI, SD, and PP. · Understanding of logistics, shipping, and pro numbers by carriers. · SAP WM/EWM Certification. · Experience with Solution Manager 7.2 (Charm), SAP Cloud ALM, HP ALM, and ServiceNow. Summary Engagement, Inclusion + Social Impact At Benjamin Moore, we don't just accept difference - we celebrate it, support it, and thrive because it benefits our employees, customers, and community. We remain steadfast in our commitment to cultivating an environment where all are provided the tools and opportunities to thrive in the workplace. Our efforts allow each of us to authentically live our corporate values of Openness, Integrity, Community, Excellence, and Safety. Our Social Impact initiatives, including strategic partnerships, in-kind donations, and volunteerism, further amplify our ability to positively impact the lives of our stakeholders. We believe that fostering a culture of inclusion and belonging is the right thing to do and essential for our continued success. Student Loan Repayment Assistance Program Benjamin Moore provides Student Loan Repayment Assistance Program to support eligible active employees who graduated from an accredited post-secondary educational institution. The Repayment Program is intended to contribute to reducing employee's student loans. The Company follows all rules and regulations concerning the taxability of student loan repayments provided under applicable law. EOE Benjamin Moore is an equal-opportunity employer that is committed to a culture of inclusion and belonging. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Our commitment to these principles means all employment decisions are made based on qualifications, merit, and business needs.

Job ID 2025-13245 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Data Visualization Developer to support our Intelligence Community client. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and civilian sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsible for providing advanced data visualization and insight generation via on-demand, intuitive web-based capabilities and reporting. Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools. Support business decisions with ad-hoc analysis. Think strategically about how to publish data visualizations and present analytic results. Use critical thinking skills to assess how data analysis can best be applied to complex business situations. As part of a multidisciplinary team, work closely with stakeholders to complete high profile, critical visual reporting services to corporate level management. Orchestrate multi-source data integration and normalization efforts using Excel, SQL, and/or Python to meet the requirements of executive level reporting. Lead complex data analytical efforts and serve as an internal subject matter expert in the designated line of business. Work on-site to maintain a deep understanding of the client or organizational drivers to update client analytics and ad hoc reporting. Proactively investigate and present recommendations to enhance visualization of key client drivers to improve reporting performance. Prepare Tableau dashboards that meet the defined and derived requirements of the Mission Services Dashboard project. Review data samples, assist with defining data schemas, propose data models, and review data storage solutions for suitability. Propose approaches to resolving inquiries with repeatable data analytics, queries, and automations that promote the concept of data driven decision making. Evaluate data to determine capacity and quality of service with a view toward improving the service provided. Make recommendations to improve the DIA BEM analytical environment. Assist DIA BEM personnel in reviewing, evaluating, and implementing new analytical technologies. Support requirements gathering, documentation and analysis efforts including facilitating meetings, documenting meeting with minutes, and following up with stakeholders. Maintain data flows, data extracts and dashboard related workbooks to meet data update frequency requirements as defined by MS BIMO client. Qualifications Bachelor's Degree in a related field and 4 years' experience using Tableau or similar software solution for data ingest, and end user visualizations. A minimum of 8 years of data analytics work experience. Experience working with programming languages like SQL, Python, or R. At least 2 years of experience working within the Intelligence Community. Experience with MS PowerPoint, Word, Excel, and SharePoint. Previous experience providing data analytic solutions to executive management and serving as the customer interface for a data analytic projects. Experience working with a highly motivated customer daily in a fast pace high profile development environment. Ability to lead complex client analytical work efforts with heavy emphasis on visualization and manage other data analysts to include assigning work tasks. Knowledge of best practices in data visualization and business intelligence software, including recent versions Tableau. Experience developing visualizations and deploying those visualizations to server environments, such as publishing dashboards created in Tableau Desktop to Tableau Server. Experience developing content for and delivering training to others on the use of Tableau or a similar business intelligence software. Ability to design and influence data architectures to reflect how users will access and analyze data. Excellent communication skills and proven ability to work with business customers and technical teams. Preferred experience in methods related to data munging, data and feature engineering, and predictive analytics. This position requires an active TS/SCI clearance with a CI polygraph. Target Salary Range: $140,000 - $170,000 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

A Financial Planning Analyst (FP&A Analyst) helps organizations make strategic financial decisions by analyzing data, creating forecasts, building models (budgets, scenarios), and reporting on performance, essentially translating financial data into actionable insights to guide business growth, manage costs, and assess investments for both companies and individuals. Key duties involve budgeting, variance analysis, market research, financial modeling, and presenting detailed reports to management, requiring strong analytical skills with tools like Excel. Key Responsibilities Develop annual budgets, rolling forecasts, and long-term financial plans. Create complex models for scenarios, investments, and performance projections. Monitor financial performance, conduct variance analysis (actual vs. budget), and identify trends. Generate monthly/quarterly reports, dashboards, and presentations for leadership. Provide data-driven recommendations on profitability, cost-saving, and strategic initiatives. Gather, analyze, and maintain financial data and databases. Work with accounting, operations, and other departments to understand financial drivers. Essential Skills & Qualifications Analytical & Math Skills: Strong ability to analyze large datasets, interpret trends, and build models. Technical Proficiency: Advanced Excel, financial planning software (ERP systems like Oracle, TM1), data visualization. Strategic Thinking: Ability to translate numbers into business strategy. Communication: Presenting complex financial information clearly to non-finance stakeholders. Education: Bachelor's degree in Finance, Accounting, Economics, or related field.

Principal Data Engineer - New York (Hybrid, 3 days on-site) Package: Competitive - Looking for experienced ICs, package will be based on interview performance. We are partnering with a fast-growing global Data and AI Consultancy to hire Principal Data Engineers. This is an exciting opportunity for someone who loves complex problem-solving, cutting-edge technology and working across multiple clients and industries (predominantly regulated spaces: finance, insurance and health care + more). The ideal candidate is passionate about data engineering and has a background in building robust pipelines, and helping businesses leverage their data for meaningful impact. Key Responsibilities Design, build, and maintain data pipelines to ingest, transform, and load data reliably. Implement and manage data lakes and warehouses for scalable and secure access. Ensure systems are reliable, secure, and cost-effective. Collaborate closely with analysts, ML engineers, and platform teams to deliver impactful solutions. Work with modern data tools and cloud platforms to optimise performance and scalability. Technical Skills & Experience Strong experience in Python, Spark, and Airflow. Hands-on knowledge of Snowflake, Databricks, BigQuery, or Neo4J. Familiarity with dbt, Fivetran, Terraform and other data engineering frameworks. Cloud experience with AWS, Azure, or GCP. Proven track record building scalable, reliable, and secure data solutions. Comfortable problem-solving across large, complex datasets and systems. STEM degree from a top university We're open to candidates with and without consulting backgrounds but you must be excited about working with leading global brands and directly with customers. If you're interested in hearing more about this opportunity, please include you most up to date CV.

Job Title: Seasonal GIS Analyst Worksite Location: Onsite at the Sentera location in St. Paul, MN Work Hours: Typical work hours are 8 am to 4:30 pm Monday through Friday. Weekend work is highly likely and required. We are seeking a Seasonal GIS Analyst with knowledge, experience, and interest in the fields of geospatial data processing and analysis to apply these skills towards analyzing images of farm fields and orchards captured by drones. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. • Process sets of images captured by drones to produce georeference mosaics (raster data) using stitching software. • Perform a wide variety of raster and vector based analytic tasks related to georeferenced imagery of farm fields and orchards. • Use internal tools, workflows, and models to process imagery of agricultural fields. • Generate maps and reports. • Generate polygon vector layers based on customer description of farm field experiment locations and zonal analysis of raster data. • Perform zonal analysis of raster data using a combination of automated tools and manual workflows. • Use internal tools and workflows to automatically detect and analyze weeds in agricultural fields. • Inspect results and make edits to shapefiles using quality assurance workflows. • Prepare processing results for customer delivery. • Communicate project status clearly and effectively to lead analyst. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE • Bachelor's degree in geography, environmental science, GIS, or a related field, or a GIS Certificate. • Proficiency in Geographic Information Systems (GIS) Software such as ArcGIS or QGIS • Experience working with raster and vector data • Remote sensing knowledge - preferred Skills/Abilities: • Strong work ethic • Flexible working schedule • Detail oriented • Ability to work independently and on a team • Strong communication skills both verbal and written • Ability to work within in a team or independently, with a can-do attitude, and willing to work until the job gets done. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • While performing the duties of this job the employee is regularly required to talk or hear. The employee is frequently required to sit at a desk for long periods of time. The vision requirements include close vision. WORK ENVIRONMENT/ADDITIONAL INFORMATION • General office environment - computer and telephone work. • Visa sponsorship is not available, now or in the near future, • Interviews will be conducted via MS Teams including video. Please note that this position is seasonal and work only about 4 months. Manager is open to candidates who are still in school.

Oldcastle APG, a CRH Company, is North America's leading provider of innovative outdoor living solutions that enable customers to Live Well Outside. The manufacturer's portfolio of premier building products inspires endless possibilities while providing enduring outdoor spaces where people can connect, reflect and recharge. Award-winning brands include Belgard hardscape, Echelon Masonry, MoistureShield composite decking, RDI railing, Catalyst™ Fence Solutions, Sakrete packaged concrete, Amerimix mortar, Pebble Technology International pool finishes, Lawn & Garden mulches and landscape features, and Techniseal sands and sealant technologies. Job Summary We are looking for a highly motivated individual to join our Oldcastle APG Finance team. The FP&A Analyst will oversee the processes for budgeting, financial forecasting, business and financial performance analysis, and variance analysis. This position will report to the FP&A Manager and work closely with a variety of cross-functional stakeholders to help inform and influence critical business decisions. The ideal candidate is a hands-on self-starter with solid data analytics, business intelligence, budgeting & forecasting, financial analysis and reporting, financial modeling, and organizational communication skills. Job Location This is a hybrid opportunity based at our Corporate Office in Atlanta, GA. Job Responsibilities Build relationships and be a vital contributor to the regional FP&A team Prepare, analyze, and report key financial and operating metrics. Identify trends, track progress, and make recommendations Creating an analysis (through charts, graphs or other analytics) to provide a quick summary of what is happening with the business Develop presentation materials for executive and leadership meetings Own financial modeling process (P&L, Balance Sheet, Cash Flow), including budgeting and forecasting Articulate “the story behind the numbers” based on sound analysis and a deep understanding of the business Coordinate the weekly forecasting process (flash) and own the associated analytical and reporting deliverables Responsible for management reporting of the company's financial performance, encompassing the analysis of results and the development of insightful commentary Develop a solid understanding of manufacturing processes and production variances Be a strong business partner to sales and operations and contribute to their efficacy via insightful analysis and reporting Perform ad hoc projects and analyses to support senior management and business leaders Monthly analysis of financial results and modeling of projected performance Responsible for Working Capital and Fixed Overhead spend analysis Analyze and incorporate relevant economic and industry trends in forward-looking business analysis to influence effective decision-making Job Requirements Bachelor's Degree in Finance, Accounting, or a related field MBA a plus Demonstrated FP&A experience Relevant experience in manufacturing, construction, or related industry What CRH Offers You Highly competitive base pay Comprehensive medical, dental and disability benefits programs Group retirement savings program Health and wellness programs An inclusive culture that values opportunity for growth, development, and internal promotion About CRH CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization. If you're up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest! Oldcastle APG, a CRH Company, is an Affirmative Action and Equal Opportunity Employer. EOE/Vet/Disability CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

Job ID 2025-12923 # of Openings 3 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time We are seeking a Data Engineer to join our team. The Data Engineer will be responsible for designing, developing, and maintaining enterprise database systems in support of various government and defense projects. This role involves implementing ETL processes, managing low latency application databases, and ensuring database performance and availability. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Oversee data architecture for large-scale APIs and web application back-end data stores. Implement ETL processes to supply application data for usage in web applications. Manage critical low latency application databases on various platforms. Develop and maintain packages, scripts, and reusable components for system enhancements and interfaces. Develop scripts to validate various data on systems and improve database performance. Troubleshoot and correct code problems identified during ETL and refresh processes. Develop, implement, and execute quality assurance programs and quality control standards. Establish database backup/recovery strategy and implement automation of DBA utility functions. Document database design, data definition language, and data migration strategy. Engineer extensive database solutions and interfaces for enhanced data requests performance. Qualifications Minimum Qualifications: 5+ years of experience designing, developing, and maintaining enterprise database systems. Strong understanding of SQL (MariaDB/MySQL, Postgres, MS SQL, or Oracle). Demonstrated experience with ETL pipeline design and implementation using third-party vendor solutions (NNCompass, Pentaho) or developing custom solutions. Experience with cloud database development and implementation (AWS preferred). Robust understanding of data migration procedures for backup, restore, as well as schema migration. Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred but not mandatory. Ability to obtain and maintain a security clearance (Confidential/NAC required). Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. The salary range for this position is - $148,776-$207,000 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

The Business Systems Analyst - ERP & MES is responsible for supporting, enhancing, and maintaining the Oracle E-Business Suite (EBS), Manufacturing Execution Systems (MES) , and Oracle APEX applications. This role acts as a liaison between IT, business functions and operations to ensure efficient business processes and system functionality across manufacturing, supply chain, quality and finance. Essential Functions: Provide functional and technical support for Oracle EBS modules (Manufacturing, SCM, Finance). Collaborate with business users to gather requirements and design solutions in ERP and MES systems. Design, develop, and maintain applications using Oracle APEX in support of ERP, Labelling and MES extensions. Coordinate with vendors and internal teams for MES system enhancements and support. Create functional specifications and support system configuration and testing. Conduct root cause analysis for production issues and implement permanent solutions. Ensure Data integrity and Regulatory compliance in ERP, MES, and APEX-based applications. Additional Responsibilities: Collaborate with cross-functional teams to ensure alignment between business systems and operational needs. Provide/Facilitate user training and create system documentation. Support compliance with IT policies, procedures, and regulatory requirements. Assist with software upgrades, patching, and testing activities. Participate in IT projects and system implementations. Troubleshoot and resolve escalated issues in a timely manner. Perform other duties as assigned. Job Specifications: Bachelor's degree in computer science, Information Systems, Business, or a related field (or equivalent experience) At least 7 to 10 years of experience supporting and configuring Oracle E-Business Suite (EBS) and Manufacturing Execution Systems (MES) Strong development background with hands-on experience in Oracle SQL/PL-SQL, T-SQL, JavaScript, REST APIs, and HTML for enterprise solutions Strong understanding of business processes in manufacturing, supply chain, finance, and operations Experience in gathering and translating business requirements into functional specifications Hands-on experience with ERP workflows, data integrity, testing, and support Familiarity with change control, system documentation, and user acceptance testing (UAT) Strong analytical and problem-solving skills with attention to detail Experience working in cross-functional teams and communicating with business and technical stakeholders Familiarity with regulatory and compliance standards such as 21 CFR Part 11, ISO 27001, and NIST Desirable: Certifications such as Oracle Certified Professional (OCP), Six Sigma, or PMP. Experience with: MES platforms and integration with ERP systems Report writing and BI tools (e.g.,APEX , Power BI, Oracle BI) ITSM tools and processes, and Change management Working in a validated environment with CSV principles Application lifecycle and low-code development Basic CRM knowledge, SugarCRM preferably Seagull Scientific Bartender Suite. Microsoft Visual FoxPro with Web Connection (Legacy Application platform). Ability to work cross-functionally with application, infrastructure, and support teams. Physical Requirements Must be able to lift 50 lbs, bend, and climb stairs as needed. Ability to travel Internationally to company sites as required.

Job ID 2026-13522 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team. The Data Engineer is responsible for designing, building, and maintaining data pipelines and data services that enable scientific analysis, analytics, and user engagement activities within the Holistic Health and Fitness Management System (H2FMS). This role focuses on data ingestion, transformation, storage, and accessibility, ensuring that data supporting research, analytics, and decision support is reliable, well-structured, and available for authorized use. The Data Engineer works closely with the Technical Project Manager, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, data scientists, and software teams to translate analytic and research requirements into scalable data solutions under Government direction. This role does not set independent data policy or analytic strategy. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Design, develop, and maintain data ingestion and transformation pipelines supporting H2FMS analytics and research use cases. Integrate data from multiple sources, including surveys, wearable and performance data, health and injury datasets, and operational systems as directed. Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs. Support development of analytic data models optimized for reporting, dashboards, and advanced analytics. Work with data governance staff to ensure data models align with approved data definitions and standards. Assist with management of structured and semi-structured data stores used within H2FMS. Enable data access and preparation for data scientists and AI/ML engineers, ensuring data is usable for modeling and analysis. Support feature preparation and data validation activities under Government and senior analytic direction. Assist in troubleshooting data-related issues impacting analytics or models. Support monitoring and resolution of data quality issues, including completeness, consistency, and timeliness. Implement basic validation, logging, and error-handling mechanisms within data pipelines. Coordinate with data governance and analytics teams to address recurring data issues. Collaborate with epidemiologists, research psychologists, and tactical sports scientists to understand analytic data needs. Coordinate with software teams to support integration between data services and application components. Support documentation and communication of data pipeline designs and dependencies. Qualifications Required Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field. Demonstrated experience building and maintaining data pipelines and data integration solutions. Familiarity with data transformation, storage, and analytics enablement concepts. Experience working with structured and semi-structured data. Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software. Strong problem-solving and communication skills. Ability to obtain and maintain a Secret security clearance. Desired Qualifications Experience supporting analytics or research-driven data environments. Familiarity with cloud-based data services or analytics platforms. Experience preparing data for dashboards, reporting, or AI/ML workflows. Prior experience supporting DoW or federal customers. Location & Travel Duty Location: This position may be performed in a remote or hybrid capacity. Travel: Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement. Target salary range: $101,986 - $170,154 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

A cutting-edge data analytics firm in San Francisco is seeking a full-stack engineer to enhance user experiences and integrate AI tools within their platform. You will work on innovative projects that shape data interactions, collaborate with teams on product initiatives, and tackle UX challenges. Ideal candidates should possess 3+ years of software engineering experience, proficiency in React and Typescript, and a strong desire to work in AI development. This position offers a competitive salary and benefits, with a hybrid work model. #J-18808-Ljbffr

Job ID 2025-13122 # of Openings 1 Category Information Technology Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Technology Analyst with experience in retail or logistics technology to support our client in Washington, DC in a large-scale effort to modernize the systems, equipment, and operational workflows that power a nationwide retail network. This initiative involves evaluating the current technology ecosystem, identifying modernization opportunities, and developing a future-state roadmap that improves reliability, throughput, and operational consistency across hundreds of locations. In this role, the analyst will work closely with the Retail Technology Modernization SME to document system interactions, equipment dependencies, data flows, and front-of-house and back-of-house workflows. The work spans technologies such as POS terminals, Self-Service Kiosks, Mobile POS devices, ID verification hardware, Smart or Self-Service Lockers, and Mobile Delivery Devices, all of which are essential to daily service operations. This role blends technical analysis with customer experience (CX) awareness by partnering with the CX team to ensure that system requirements and modernization plans reflect real operational and user needs. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Document system workflows, equipment interactions, integration points, and technical dependencies across retail environments. Support evaluation of retail technologies including Retail Systems Software (RSS), Point of Sale (POS) terminals, Self-Service Kiosks (SSK), Mobile Point Of Sale (mPOS) devices, ID verification hardware, Smart/Self-Service Lockers, and Mobile Delivery Devices. Assist in reviewing equipment performance, lifecycle stages, reliability issues, and operational constraints. Translate observations and SME direction into technical requirements, functional specifications, user stories, and traceability documentation. Support development of the technical modernization roadmap, including sequencing, deployment considerations, and site readiness criteria. Apply analytical thinking to synthesize complex information into clear and actionable work products. Support Technology Partner Integration Framework development, service desk optimization analysis, and testing environment assessments. Partner closely with the Retail Technology Modernization SME to ensure technical findings are complete, accurate, and actionable. Collaborate with customer experience (CX) team to align technical requirements with workflow insights and future-state service models. Review journey maps and blueprints to identify technical enablers, constraints, and integration needs. Participate in workshops and field visits to gather technical details from system users and frontline staff. Produce clear, structured documentation including system diagrams, process maps, requirement sets, and reference materials for technical and non-technical audiences. Maintain technical logs, inventory records, workflow charts, and issue trackers related to equipment and system interactions. Support preparation of technical briefings, leadership presentations, and modernization planning materials. Qualifications Required Qualifications: Bachelor's degree in Information Systems, Industrial Engineering, Systems Engineering, Human Factors, or a related technical field. 3 to 6 years of experience in technical business analysis, retail systems support, logistics technology, or operations engineering. Strong skills in documenting workflows, process maps, system interactions, and technical requirements. Ability to translate technical insights into clear, structured requirements for design, architecture, and CX teams. Strong communication skills, with the ability to bridge information between technical teams and human-centered design practitioners. Experience with collaboration and documentation tools such as Jira, Confluence, Visio, Miro, FigJam, or equivalent. U.S. citizenship and eligibility for a government background investigation. Preferred Qualifications: Degree or equivalent experience in engineering, IT, or computer science Functional experience in customer facing retail operations Familiarity with POS, kiosk, mobile device, or retail operational technologies (RSS, POS, SSK, mPOS, MDDs, lockers, ID verification devices). Experience with USPS operations and postal retail environments DevSecOps practices and testing optimization experience Technology Partner Integration frameworks and API management experience Amazon Web Services experience USPS Public Trust Holder LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2024-12131 # of Openings 1 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time LMI is seeking an experienced Data Engineer to design, develop, test, and optimize data pipelines and database architectures, with additional responsibilities for creating data visualizations in React. This role will support the development of innovative software solutions that drive AI/ML capabilities for the Department of Defense. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Set up segmented databases to control access to various datasets and data products Build data pipelines in PySpark using data engineering best practices for testing, validation, automation, and version control Coordinate closely with SMEs and front-end developers to generate data tables required for UI execution Build code to execute pulls from APIs, allowing access to external data to be pulled into the client environment Interact with partners and data providers to understand their data holdings, methods for moving data into the CDAO-Advana platform, and data usage agreements Self-starter, and eager to learn and work in a team environment Develop intuitive visualizations, dashboards, and reusable User Interface (UI) components using React and the Material UI component library Rapidly create working wireframes based on project specifications for client validation in collaboration with human-centered design Build CI/CD pipelines using client specifications for security and containerized deployments in client environments Manage UI component buildout in conjunction with project management stakeholders using an agile-based project management approach Work with data engineers to outline specifications for APIs Qualifications Bachelor's degree in Computer Science or related field and/or equivalent work experience 3-10 years of experience as a data engineer Experience with: Agile-based development Python, Spark, notebooks Data Bricks or similar environment Effective analytical, conceptual, and problem-solving skills Active DoD Secret clearance required Part-time onsite client support in the Washington, DC metro area Desired Qualifications Active DoD Top Secret clearance The salary range for this position is- $80,000 - $120,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Job ID 2025-12905 # of Openings 2 Category Information Technology Benefit Type Salaried High Fringe/Full-Time LMI seeks a Business/Systems Analyst to support a federal directorate in the National Capital Region. Join our team of collaborative self-starters focused on delivering practical and efficient solutions to help our client keep U.S. borders safe and facilitate trade and travel. As part of our high-performing team, you will augment our vital work to provide "eyes and ears" technology to protect our nation. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. LMI has been named a 2024 #BestPlacestoWork in the United States by Built In! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible! Responsibilities Provides project/program management support to the Directorate's Engineering Branch to include conducting problem identification, requirements analysis/gathering for various initiatives Provide support to end users via remote support sessions Keep track of support issues and follow up with users for further clarifications. Walk users step-by-step through the problem-solving process Create and maintain training documentation Research and document systems process workflows and data flows Leads or supports development, review of engineering management processes, documentation, and implementation. Participates in team building research efforts and sharing of analytical techniques and research methodologies. Facilitates and work with Integrated Product Teams (IPTs) and Working Groups to develop and maintain program and project plans and charters. Develops artifacts required by the Joint Requirements Integration and Management System Directive (DHS MD 107-01), and other pertinent artifacts that enable the Directorate to respond to internal and external inquiries. Analyze developing capabilities and resolve issues in existing tools. Qualifications 3 to 10 years of experience and a bachelor's or master's degree in business, management, engineering, finance, or information management preferred. Experience in operations research systems analysis or related field preferred Familiarity with decision analysis methods to evaluate analytic tools, data, and processes to determine their feasibility usefulness and value, and present the results Previous work with CBP and/or USBP is a plus. Proficiency in Microsoft Word, Excel, Outlook, PowerPoint, and SharePoint. Ability to communicate clearly with a variety of stakeholders. Ability to effectively solve problems. Strong communication and customer service skills required Must enjoy working as part of a team Ability to solve problems and learn quickly Understanding of financial principles helpful Experience with Clarity PPM Tool helpful but not mandatory Strong communication skills, both oral and written. A true team player who maintains a positive attitude in a dynamic environment. Experience with the CBP Planning, Programming, Budgeting, and Accountability (PPBA) framework and processes is a plus Applicants selected for this position will be subject to a comprehensive government security investigation must meet eligibility requirements for access to sensitive information. The background investigation includes financial, criminal, residential, educational, foreign affiliation, and employment verifications. US citizenship required Highly Preferred: Active/Full U.S. Customs and Border Protection (CBP) BI This position is contingent upon completion of CBP BI LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow. High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance. Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI. About the Role We're looking for a detail-oriented and analytical Processing Data Analyst to support and enhance the Human-In-The-Loop (HITL) workflows that are used to evaluate our automated extraction. In this role, you'll ensure the accuracy, efficiency, and reliability of our extraction operations by managing internal ticket queues, maintaining performance metrics, and collaborating closely with our Operations Team. You will also learn about how artificial intelligence is applied at one of the fastest growing companies in financial technology. This is a fully remote role for a contractor based in the United States. Tabs Background Most contracts are extracted fully autonomously and we are consistently increasing the reach of the automated processes. To train this process further, Tabs works with contractors to manually process the contracts and compare the automated results to the human-generated ones. Complex contracts go through an automatic processing layer and then through a human checker to validate the results. The most complex contracts, however, are processed entirely by people. The people involved in contract processing are located around the world and work at different times to align with their timezones and the company's needs. We are seeking a person to conduct quality assurance (QA) testing on a subset of these complex contracts so as to provide feedback to the processors and to provide reporting to the company about the accuracy of this process What You'll Do Assign processing work to individuals when sufficient information has been received from internal stakeholders Respond to inquiries from processors who have gotten stuck by looking at internal records about the document type or by escalating the request Conduct QA on Human-In-The-Loop (HITL) processes to ensure data accuracy and consistency Maintain and improve HITL accuracy metrics and reporting to key stakeholders and to the processors themselves Collaborate closely with the Processing Team to relay updates, clarify requirements, and troubleshoot issues Identify operational inefficiencies and help implement process improvements Support cross-functional initiatives related to data quality and processing optimization Who You Are Highly detail-oriented, organized, and reliable Strong communicator who can work seamlessly with technical and non-technical teams Comfortable executing processes end-to-end and making data-driven recommendations Proactive problem-solver who is energized by improving accuracy and efficiency Experience 3-5 years of experience in data operations, quality assurance, HITL workflows, or related roles Experience working with customer service ticketing systems such as Monday.com, Pylon, Jira, or similar Familiarity with operational metrics, performance tracking, and reporting Previous experience working in a cross-functional operations or data-focused team Experience with Google Sheets, SQL, or a BI tool like Looker or Omni is a plus Experience in a startup or fast-moving environment is a plus This role is for a remote-only 1099 contractor in the United States. You will set your own hours (up to 40 per week) and complete work at your pace so as to accomplish the goals set forth with your manager. For security, we will provide you with a computer to be used for this work only. Perks and Benefits (Full-time Employees) Competitive compensation and equity Unlimited PTO Up to 100% employer covered monthly healthcare premium (medical, dental, vision) Lunch provided via Sharebite, plus dinner for any later office days. Parental leave up to 12 weeks Tax free commuter and parking benefits Voluntary insurances (Life, Hospital, Critical Illness, Accident) Employee Assistance Program (Rightway) 401k Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We're committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.

This role is Hybrid - 3 days a week on-site in a local UL Office. The Data Privacy Analyst role will support the Data Privacy Manager in managing and maintaining the global privacy program of UL Solutions. This role is responsible for ensuring compliance with data protection laws by managing privacy operations. Bachelor's or Master's degree in Law, Information Management, or a related field 4-5 years' experience in data privacy compliance or data protection roles within a global organization Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $70,000 to $95,000 USD and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 10% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours). #LI-SG2 #LI-Hybrid Support implementing the organization's privacy program and policies Support implementing operational processes of the corporate business units and operations support teams in accordance with applicable privacy laws and regulations, as well as assisting or leading key strategic priorities Assess business policies, procedures, and operations to ensure compliance with privacy requirements and government regulations Create action plans for privacy related projects Lead privacy analysis and assessments of products throughout development cycle to ensure compliance with privacy and data protection laws Coordinate and drive cross-stakeholder alignment regarding implementation of privacy requirements and proposed remediations Coordinate and deliver privacy training programs, communications, and training materials Administer compliance monitoring, auditing, and remediation processes. Conduct research, analysis, and reporting on the impacts of new legal changes or of potential policy changes Develop, implement, and maintain privacy-related standard operating procedures (SOPs) and guidelines Assist in maintaining documentation for compliance reporting

We are looking for college students (preferably rising Seniors) seeking internships for the summer of 2026 in Boston. We are seeking a Data Analyst Intern to join our team and support data-driven decision-making across project management, risk analysis, and operational workflows. This role is ideal for a detail-oriented individual with strong analytical skills and an interest in construction industry data. At Shawmut Design and Construction, we take pride in the culture we've built as a 100% employee-owned company-one that's been recognized with more than 85 Best Place to Work awards. We've been honored as a National Fortune Best Workplace, a Fortune Best Workplace for Women, Millennials, and Parents, and one of America's Best Employers by Forbes-along with numerous regional recognitions across our 11 offices nationwide. If you decide to join Shawmut as a full -time employee in the future you will have the opportunity to own your career and deliver impact within our culture of ownership and innovation focused around providing the gold standard of client service for the world's most recognizable and elite brands and institutions. Responsibilities Collect, clean, and organize project-related data from multiple sources (ERP systems, spreadsheets, field reports). Assist in building dashboards and reports for project performance, cost tracking, and risk management. Perform data analysis to identify trends, anomalies, and actionable insights. Support the development of predictive models for project timelines and resource allocation. Collaborate with project managers and operations teams to ensure data accuracy and usability. Document processes and create user-friendly guides for data tools and dashboards. Qualifications Currently pursuing a degree in Data Analytics, Statistics, Computer Science, Engineering, or a related field. Strong proficiency in Excel; familiarity with Power BI, Tableau, or similar visualization tools is a plus. Basic knowledge of SQL and data querying. Understanding of data cleaning and transformation techniques. Excellent analytical and problem-solving skills. Strong communication skills and ability to work in a team environment. Preferred Skills Exposure to construction or project management data is a plus. Experience with Python or R for data analysis. Knowledge of KPIs relevant to construction projects (cost variance, schedule performance, etc.). EEO Information Shawmut prohibits discrimination against any staff member or applicant on the basis of race, color, sex, sexual orientation, gender identity/expression, age, religion, national origin, marital status, veteran status, pregnancy, physical or mental disability, genetic information, disability, creed, citizenship status, or any other legally protected characteristic. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to offer sponsorship. Salary Range Information Boston Base Salary Range: $22/hour - $25/hour. The range stated is specific to Boston. Placement within the listed range depends on many factors, including, but not limited to, years of experience, project size capability (for Construction & Field roles), and internal company equity.