Data analyst jobs in Rowlett, TX

Local to Dallas, TX Only! USC/ GC Only No C2Cs . 4 days onsite in South Dallas Solution minded person, Power BI, Data Factory and Databricks can't be only dashboard The Sr BI Specialist is a high-performing contributor that provides support in the delivery of global BI solutions within a Global IT Center of Excellence (COE) team. This role collaborates with other IT colleagues to help facilitate systems integrations and transitions and works hands-on with data warehousing/BI technologies like SAP BusinessObjects suite, HANA, Tableau, PowerBI, and SSAS. Duties and Responsibilities of the Position: Work with Global IT COE colleagues and project sponsors/customers to successfully implement Business Intelligence Analytics applications for the business. Participate in major applications integration projects, including but not limited to designs, codes, tests, and installs, and supports complex integrated application systems. Guide the customization, implementation, and support of purchased package applications. Make standard processes and business decisions based on understanding of company and customer as well as industry practices, standards, and trends. Interact with customers, BI Specialists, and vendors to quantify system requirements and coordinate system integration testing, migration and roll-out; identify, evaluate, and recommend alternative technical solutions for best fit to business; oversee the initial pilot and recommends guidelines and standards for use. Integrate data from various sources to create comprehensive and cohesive datasets for analysis. Collaborate with IT teams to ensure the availability and accuracy of data. Analyze and provide technical advice and direction regarding the interface/integration of supported systems with the rest of the application portfolio; analyze how the supported applications can best serve business functions; recognize the impact to the business of proposed application changes and advise IT colleagues accordingly. Perform high quality analysis reliably and consistently. Find ways to assess and apply innovative ideas to enhance business results. Successfully lead after-action reviews to identify, document, and share lessons learned. Collaborate cross-functionally to evaluate technical, system, and process improvements. Perform other duties as needed. Required Experience and Education: Bachelors degree in a related field or equivalent education and/or experience. 4-6 years relevant experience or equivalent education and/or experience. Experience in data modeling (Star schema and 3rd Normal form) and hands-on experience in ERWin and other modeling tools. Experience with integration of SAP BOBJ and SAP BW. Experience implementing SAP BOBJ and Tableau on HANA. Experience with Microsofts BI Stack, SSAS, and PowerBI. Experience with EDW development life cycle from business requirement gathering to end solution. Competencies: Requires in-depth conceptual and practical knowledge in own job discipline. Excellent communication, problem solving, and organizational skills. Able to multitask, prioritize, and manage time effectively. High level of integrity and discretion in handling sensitive and confidential data. Proficient using Microsoft Office Suite products. Flexible attitude, adaptable to change, team player, and able to handle multiple projects at once. High degree of professionalism, judgment, maturity, and resourcefulness in the absence of formalized guidelines and procedures. We offer competitive salary and a comprehensive benefits package, career opportunities, and an environment of creativity and growth.

Job Title: Operations Data Analyst Duration: 14 Months to start (Possible extension) Our clients Site Operations team is seeking an Operations Data Analyst to help drive operational excellence by analyzing capacity, uptime, and performance across our data centers. This role is critical for enabling leadership to make informed decisions, optimize strategies, and ensure our infrastructure is running at peak efficiency. You'll work closely with operations, engineering, and data science partners to deliver actionable insights, maintain reporting code, and develop dashboards that support our core KPIs. Responsibilities Analyze operational data to assess capacity availability, uptime and operational efficiency. Generate and maintain weekly reports tracking team performance against core KPIs Clean, transform, and analyze data, often using proxy and regression analysis to address incomplete datasets Maintain and test code that produces reports and manages underlying data structures; integrate new data sources as needed Develop and enhance dashboards in collaboration with field teams and data scientists. Conduct predictive analytics to anticipate operational trends and risks on ad hoc basis Produce reports and whitepapers with actionable recommendations for leadership. Provide data supplied narratives that are connected to the business, determining what is important and its impact to the business/operation. Must-Have Skills 3+ years in data analysis, operations analytics, or a related field Proficiency in SQL for data extraction and analysis Proven experience in data analysis, including cleaning, transforming, and interpreting complex datasets Significant experience with data visualization tools and leveraging data driven models to drive business decisions. Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions and reporting results across various stakeholder groups (including executive level). Intellectual curiosity and initiative in identifying hypotheses and driving continuous improvement Collaborative, team-oriented mindset Nice-to-Have Skills Experience in operations, data center, manufacturing, telecom, or NOC environments. Familiarity with dashboard development tools (e.g., Bento, Tableau). Degrees/Certifications Bachelor's degree in an analytical field (e.g., Computer Science, Research, Statistics, Engineering)

Location: Dallas, TX, Type: Full-Time | On-Site Our client, a leader in land surveying, planning and civil engineering, is looking for an Azure Data Platform Architect to help integrate a wide range of business applications and data sources into a scalable, cloud-focused data platform. This role goes beyond traditional integration work and emphasizes engineering, consolidating, and modernizing both structured and unstructured data using Microsoft Azure. Candidates should bring enthusiasm for application engineering and platform design, with hands-on experience in Microsoft integrations, document management, or data engineering preferred. In this position, you will play an active, hands-on role in designing, building, and integrating Azure data services across enterprise systems. You will collaborate with engineers, architects, and business stakeholders to create a unified platform that improves data access, analytics, and automation. Responsibilities Design, build, and implement Azure-based data architectures Develop and manage workflows using Azure Data Factory, Logic Apps, OneDrive, and SharePoint Integrate and modernize enterprise applications using Azure services and automation tools Support data migration, application consolidation, and process automation across business units Enhance document management systems with improved metadata, access controls, and versioning practices Collaborate with cross-functional teams to align data strategy and architecture Support data governance efforts, including security, compliance, and retention standards within Azure environments Requirements Bachelor's degree in Information Systems, Computer Science, Engineering, or equivalent experience More than 3 years of experience with Azure cloud data platforms, data engineering, or integration projects Knowledge of Azure Data Factory, Logic Apps, Synapse Analytics, and related Azure tools Experience with ETL design, data pipelines, and application integration Familiarity with Autodesk, Bluebeam, ProjectWise, Ajera, or similar design/engineering platforms is a plus Understanding of data governance, metadata management, and Azure security Strong problem-solving skills, communication abilities, and attention to detail Bonus: Experience with Azure AI Services, Azure OpenAI, or intelligent automation This is a great opportunity to help build and scale a modern Azure data platform supporting enterprise analytics and automation. In this role you will work closely with engineers and business leaders driving digital transformation. You will be building scalable Azure data solutions. Role is in the office (on-site) 5 days per week. Do not apply unless you are authorized to work in the United States for any employer as client company cannot sponsor or transfer visas at this time. Walker Elliott is an Equal Opportunity Employer. For additional information, please email your resume to ************************** or apply online.

Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together! We are looking forward to you joining our Platform Engineering Team. We are seeking a highly skilled and experienced Data Mapping/Business Analyst to join our team. The successful candidate will play a critical role in major data migration, conversion, and integration projects, leveraging deep knowledge of ALIP (Admin Server, Life Insurance Platform), ACORD standards, and the Life Insurance domain. This role requires exceptional analytical skills, proficiency in data modeling and mapping, and the ability to translate complex business requirements into detailed technical specifications. We are looking for a Business Analyst who can, but not limited to, the following: Analyze, document, and manage data mapping requirements for system conversions, integrations, and upgrades involving the ALIP platform. Analyze and map ACORD XMLs, JSON, flat files, and legacy data into target logical models. Define and document source-to-target data mappings for various data elements, including policy, product, party, claims, and financial data. Develop data transformation rules and logic for complex data elements. Demonstrate strong working knowledge of the ALIP platform's data model and functionality for various life and annuity products. Apply expertise in ACORD standards (e.g., ACORD XML, ACORD Life standards) to facilitate effective data exchange and interoperability. Conduct gap analysis between ACORD standards, source data, and target BRx models (Business Rules/Requirements models). Ensure all data mapping and integration solutions adhere to industry best practices and ACORD messaging specifications. Elicit, analyze, and document business requirements from stakeholders across various departments (Actuarial, Operations, IT, etc.) for life insurance modernization initiatives. Translate high-level business needs into detailed functional and non-functional specifications, including use cases and process flows. Serve as the subject matter expert (SME) for life insurance products, business processes, and related data structures. Validate that implemented solutions meet the original business requirements through rigorous testing and review. Collaborate with data architects, developers, and testers to ensure the accuracy and integrity of data transformations. Facilitate meetings and workshops with technical and business teams to resolve data and business process conflicts. Create and maintain essential project documentation, including Business Requirements Documents (BRD), Functional Specifications Documents (FSD), and Data Dictionaries. Required Qualifications 10-12+ years of experience as a Data Analyst, Business Analyst, or similar role, preferably within the Life and Annuity Insurance industry. Mandatory hands-on experience with the ALIP platform data structures and functionality. Proven expertise in ACORD standards and models, specifically related to Life Insurance and Annuities. Demonstrated proficiency in data mapping and developing detailed transformation logic across various data formats (XML, JSON, flat files). Strong SQL skills for data querying, analysis, and validation. Solid understanding of the end-to-end life insurance business lifecycle, including new business, underwriting, policy administration, billing, and claims. Excellent communication, presentation, and interpersonal skills. Our Process Schedule a 15 min Video Call with someone from our Team 1 Proctored GQ Tests (< 2 hours) Slideware (Presentation Deck) 30-45 min Final/tech Video Interview Receive Job Offer If you are interested in reaching out to us, please apply and our team will contact you within the hour.

Job Title: FP&A Analyst FLSA Status: Exempt About us: At Compatriot Capital, Inc. (“CCI”), our strategic focus is on investing in real estate companies and their projects. We are dedicated to growing enterprise value by forging strong relationships with talented and committed partners in the real estate industry. Our mission is to provide crucial capital support to facilitate the growth and expansion of private real estate operating companies while building a diverse portfolio of real estate assets. Compatriot currently manages approximately $7 billion in real estate investments with an ambitious growth plan for the next 10 years. Compatriot is a wholly owned subsidiary of Sammons Enterprises, Inc. (“Sammons”), one of the largest privately held companies in the U.S. Sammons is proudly 100% employee owned, and our unique capitalization is the foundation of our culture of ownership. Job Summary: The FP&A Analyst will report to the Director of FP&A and play an integral part in shaping the company's financial strategy, supporting operational leaders, and driving actionable insights. This position will be responsible for portfolio valuations, budgeting, forecasting, variance analysis, financial modeling, and KPI tracking, while also supporting executive-level presentations and analysis. The role requires a balance of analytical rigor, cross-functional collaboration, and proactive problem-solving. Supervisor: Director of FP&A Primary Responsibilities: Prepare quarterly valuations for a diversified real estate portfolio, collaborate with stakeholders to confirm assumptions, and maintain complex models on operating real estate investments and portfolio companies. Assist with annual budget creation, forecasts, and ongoing variance analysis. Update and maintain financial models; conduct variance analysis and communicate insights to leadership. Champion improvements in data management and become a power user of Cherre, Compatriot's data platform. Monitor KPIs frequently and proactively identifying trends and collaborating with operational leaders to capture growth opportunities. Evaluate assumptions and perform robust scenario analysis, including benchmarking against competitors and external data. Streamline processes and improve financial models for greater efficiency and responsiveness. Support the development and maintenance of models for the company's long-term business plan. Partner with cross-functional teams to provide insights, optimize company spending, and evaluate the financial implications of the pipeline of large-scale projects. Prepare dashboards, reports, and executive-level presentations. Lead or support ad-hoc reporting, analysis, and special projects as required. Performance measurement (unrealized and realized returns and maintain database). Assist in maintenance of records in Prophix, the data platform of Sammons. Education and Qualifications: Bachelor's degree in Finance, Business, Accounting, or Real Estate. 2-5 years of deal transactions, valuation consulting, or relevant financial analyst experience. Advanced proficiency in Excel; experience with Power Query or Power BI preferred. Strong PowerPoint skills, with the ability to create and deliver executive-level presentations. Understanding of GAAP and financial acumen. Excellent analytical, problem-solving, and critical-thinking abilities. Effective communication skills-able to translate financial insights into actionable recommendations. Highly detail-oriented and organized, with the ability to maintain a big-picture perspective. Proactive, entrepreneurial, and comfortable working in a fast-paced, dynamic environment with strict deadlines. Collaborative team player, adaptable, and willing to take on diverse responsibilities. Available for full-time in-office work in Dallas, TX (Mon-Fri). Other Duties: Please note this job description is not exhaustive. Responsibilities and activities may evolve in line with the Compatriot's needs.

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Job Title: Functional Product Analyst Type: 12 months contract or options to extend or hire Seeking a Functional Product Analyst to manage and optimize data products. The role bridges business needs and data solutions, ensuring accurate, actionable data for decision-making. Some SQL experience is required. Key Responsibilities: Own and manage assigned data products. Collaborate with stakeholders to define requirements and translate them into data solutions. Validate and analyze data quality and consistency. Use SQL to extract and analyze data. Maintain documentation and support reporting/dashboard needs. Qualifications: Bachelor s degree in a relevant field. 4+ years in data or product analysis. Strong understanding of data concepts and some SQL experience. Familiarity with data visualization tools (Power BI, Tableau, etc.). Strong analytical and communication skills. Preferred: Experience with cloud data platforms or data governance. Agile/Scrum exposure.

Must be USC or Green Card Summary: The Business Systems Analyst II is responsible for leading/guiding project meetings with the core leadership team in gathering comprehensive business requirements and translating them into automated solutions, to include workflow technical design and implementation. This entails advising and assisting customers in the operation and administration of the collection system applications as well as working with the facility host support team. Collaborating with customers to enhance their work methodologies and tools, and maintaining a customer-centric tech Requirements: Candidates with substantial healthcare implementation experience. Min 3 yrs experience with required healthcare provider experience (hospitals, clinics), not insurance. EMR Implementations like Epic, Athena, Cerner to name a few. Epic Modules related projects. 3rd party applications related to departments in the hospitals or related to clinics. Requirements gathering and documentation along with process flows. Experience producing project documentation like project charters, status reports, meeting minutes, agendas. Candidates have a solid background in implementation (EMRs and 3rd party applications used in hospitals and clinics like Sectra, Waystar, Capsule, Softbank. Ancillary areas like Lab, Pharmacy, Radiology related implementations) This position interacts with various stakeholders and therefore requires the contractor to clearly communicate in both verbal and written interactions. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Our client in Dallas, TX is looking to add a Sr. Data Solutions Architect to their team. This is a hybrid role. 2 days in the office each week. This is a full time role and not open to contract or C2C candidates. US Citizenship or Green Card Required About the Role Are you ready to help shape the future of enterprise intelligence? As a Senior Data Solutions Architect, you will lead the design and implementation of modern data platforms that solve complex business challenges. This role goes beyond traditional data engineering-it focuses on enabling intelligent automation, semantic understanding, and autonomous decision-making through technologies such as ontologies, knowledge graphs, NLP, agentic AI, and MCP frameworks. You will bridge business strategy and technical execution, creating scalable, secure, and intelligent data ecosystems that power advanced analytics and AI-driven transformation. What You'll Do Architect, build, and implement AI-ready data platforms, integrations, and application solutions across diverse technologies. Design and operationalize ontologies and knowledge graphs to support semantic data integration and contextual analytics. Integrate agentic AI frameworks to automate multi-step workflows and enhance decision-making. Own the end-to-end development of scalable ETL/ELT pipelines, data lakes, and data warehouses. Develop and maintain integrations across enterprise systems-including data lakes, data warehouses, and third-party APIs-ensuring performance, reliability, and consistency. Apply NLP techniques to extract insights from structured and unstructured data, enabling conversational and contextual analytics. Partner with stakeholders across departments to translate business needs into secure, scalable technical solutions. Collaborate with developers, data analysts/engineers, and external partners to deliver cross-functional data solutions. Define and maintain technical artifacts such as data flow diagrams, integration patterns, and metadata repositories. Ensure robust data governance, security, and compliance across all solutions. Stay current on emerging technologies and industry best practices. What You'll Need To be successful in this role, you should meet the following qualifications. Reasonable accommodations may be made for individuals with disabilities. Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 10+ years of experience, including at least 3 years in data architecture or data product development. Demonstrated expertise in building data platforms and data products. Strong understanding of NLP, LLMs, and advanced analytics workflows. Hands-on experience with agentic AI systems and frameworks. Extensive experience with data modeling, integration patterns, and semantic technologies; exposure to ontologies and knowledge graphs is a plus. Knowledge of Master Data Management and data governance frameworks. Experience with BI and reporting tools. Deep familiarity with modern data platforms such as Snowflake, Databricks, or Azure Synapse. Proficiency in data modeling, metadata management, and orchestration tools. Excellent communication skills and the ability to lead collaborative initiatives. Experience working in agile environments and guiding cross-functional teams.

Dexian is seeking a IT Business Analyst II for an opportunity with a client located in Plano, TX. Responsibilities: Captures and supports delivery of business and system requirements to accomplish business goals Some prior experience in working in technology Understands both business requirements and the basic tenets of the technical solution. Helps effectively translate needs between both sets of stakeholders Is responsible for decomposition of Epics to digestible user stories, acceptance criteria definition, prioritization of stories and backlog refinement with the team Ensures user stories meet the Definition of Ready before work begins and meet the Definition of Done before acceptance Leverages various techniques to assist with creation of Epics and stories such as process flow diagrams, context diagrams and use cases Collaborates with Product Managers, stakeholders, and peer Delivery Lead members to ensure alignment of work Removes team impediments; participates in team and Train routines as required Supports Deployment Activities by supporting CRQ Deployment Approval Routines and ensures Quality standards are met Coordinates and facilitates ART ceremonies -e.g. Backlog Refinement, Program Increment (PI) Planning, ART Sync (or PO Sync, Scrum of Scrums), System Demos, Retrospective. In collaboration with the Portfolio Manager, ensures the program has a healthy product/program backlog. Facilitates dependency management/risk management/impediment removal for the ART. Promotes/facilitates communication and collaboration within the ART to support value delivery and PI commitments. Responsible for providing status updates and reporting pertaining to ART plans/delivery/timelines/impediments to stakeholders and leadership Ensures Enterprise Change Management and other policy requirements for technology solutions are met for the epics/features delivered by the ART. Measures ART delivery, maturity, and performance and reviews the metrics with the ART to identify improvement opportunities. Captures data to help determine/track product funding and resource acquisition needs Supports overall JIRA Reporting and Team Confluence Management Requirements: Business Analyst (Domain Experts) Agile Scrum Master Agile tools (Jira) The Product Owner/Technical Analyst role is critical as the Financial Center Team continues to prepare to innovate the experience of our Financial Center Applications and experiences for clients The role will be leading backlog management activities including requirement review and development, process and product analysis, user story/acceptance criteria definition and refinement for one of the scrum teams on the Financial Center release train The Agile Development team will consist of 8-10 software engineers that are focused primarily around quarterly integrated development cycles in addition to Monthly releases scheduled for smaller enhancements Proficient in Agile processes and Jira Ability to analyze end to end business processes and negotiate with the Business to make the most optimal changes Ability to work in a matrix environment, have excellent communication skills and be problem solvers Collaborates with stakeholders to understand their needs and problems Creates and prioritizes work for the team Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Epic ClinDoc Analyst - Contract to Hire On-Call Rotation: 1 in every 12 weeks (2-person coverage) We are seeking a Certified Epic ClinDoc Analyst to join our dynamic Inpatient Clinical Applications team on a contract-to-hire basis. This role is ideal for a seasoned Epic professional with a strong clinical background (respiratory therapy, allied health, or nursing) and a proven track record of integrating third-party applications into Epic. You'll play a pivotal role in supporting a major refuel project, including the Behavioral Health module go-live in January, Alleris pump integration, and sepsis checklist deployment. You'll also take ownership of a key third-party integration (likely Timeless, a breastfeeding recipe app for infants), relieving current team bandwidth. Key Responsibilities Serve as the primary analyst for one or more third-party application integrations into Epic (e.g., Timeless, CarePort). Collaborate with clinical and technical teams to support the Behavioral Health module go-live and related initiatives. Participate in the refuel project, ensuring seamless integration and optimization of Epic ClinDoc workflows. Work closely with the Orders team (who manage CompuTrition) to ensure alignment across applications. Provide on-call support as part of a rotating schedule (approximately once every 12 weeks). Attend onsite meetings and work in-office 50% of the time over a two-week pay period. Required Qualifications Epic ClinDoc Certification (current and in good standing). 3-5+ years of Epic ClinDoc experience, preferably in an inpatient setting. Strong clinical background in nursing, respiratory therapy, or allied health. Demonstrated experience with third-party application integration into Epic. Excellent communication, collaboration, and problem-solving skills. Preferred Experience Prior involvement in Behavioral Health module implementations. Familiarity with Timeless, Alleris, CarePort, or similar third-party tools. Experience working in a mid-sized Epic team with cross-functional responsibilities.

The Institutional Research Analyst is responsible for collecting, analyzing, interpreting, and reporting data and information to inform strategic planning, enrollment management, compliance, accreditation, reporting, operational effectiveness, and the assessment and continuous improvement of academic programs and services. Key responsibilities include managing accreditation processes, analyzing institutional data to inform decision-making, conducting program reviews, and supporting the development and implementation of strategic and operational plans. ESSENTIAL DUTIES AND RESPONSIBILITIES: • Actively engage the University identity and mission and understand programs and services. • Collect, organize, and manage institutional data from various sources to gather information on student outcomes, enrollment trends, and other key institutional metrics, and to ensure accuracy, consistency, and accessibility. • Support the development and maintenance of data stewardship and governance policies and procedures to ensure the quality, integrity, security, of university data assets. • Maintain and update databases to ensure the accuracy and integrity of institutional data. • Support and manage survey tools like Qualtrics for the university community. • Conduct statistical analyses, generate reports, and data visualizations to support institutional research efforts and decision-making. • Support data analysis for institutional research projects, program evaluation, and/or ad hoc requests from institutional units. • Manage and fulfill requests for institutional data by various stakeholders, including administrators, faculty, and external agencies. • Ensure compliance with applicable external reporting requirements related to institutional data. • Collaborate with institutional leaders to identify key performance indicators and benchmarks for assessing institutional effectiveness. • Develop and administer surveys and other instruments to collect feedback from students, faculty, staff, and community stakeholders and analyze results to identify areas for improvement and track trends over time. • Provide training and support to faculty and staff on data collection and reporting processes and develop resources that assist in building data literacy across the institution. • Support the development and implementation of the College's strategic plan through data driven insights. • Support accreditation and program review processes by providing accurate and timely data for reports and data requests. • Stay informed about current trends, research, and best practices in institutional research and data analysis through professional development activities, conferences, and networking opportunities. • Evaluate the effectiveness of institutional research functions and services to identify areas for improvement. • Work collaboratively with the Information Technology team. • Participate and engage in supporting data governance, data lake, data warehouse, data dictionary, and data security initiatives. • Other duties as assigned. Requirements: MINIMUM QUALIFICATIONS: • Bachelor's degree: data science, statistics, information systems, business analytics, or related discipline. • Minimum of 3 years' experience in higher education administration, institutional research or institutional effectiveness. • Commitment to ethical standards, integrity, and professionalism dictating the use of data. • Familiarity with higher education research, data systems, and reporting requirements. • Demonstrated qualitative and quantitative analytical skills. • Effective written and verbal communication skills. • Effective professional demeanor and interpersonal skills. • Ability to manage projects, proactive, and meet deadlines. SKILLS • Strong analytical and problem-solving skills. • Experience working with higher education data systems such as Ellucian Banner or other student information systems. • Proficiency in developing electronic forms, surveys, and other data collection instruments using web-based software (e.g. Qualtrics). • Strong analytic skills with proficiency in database software programs, such as R, Python, or SPSS, and data visualization tools such as Tableau, SAS, or PowerBI. • Meticulous attention to detail and a commitment to data accuracy, with strong organizational and time management skills. • Ability to manage multiple tasks and priorities simultaneously. • Understanding of institutional research methodologies, accreditation standards, and compliance with higher education requirements. • Ability to present and communicate complex data in a clear and understandable format. • Collaborative, team-oriented, participate in consensus building and group facilitation. • Ability to work effectively with cross-functional teams and stakeholders • Knowledge of human subject research and Institutional Review Board. • Commitment to diversity, equity, and inclusion in institutional research and data practices. • Proficiency in Microsoft Office and data management software, tools, and technologies. • Must be able to lift 50 lbs. and ability to bend and ability to stand for long periods of time.

Application Analyst II REMOTE Application Analyst II-REMOTE -Experience with Clinical 3rd Party Applications Experience with cardiology, radiology, lab, PACS, Sleep Lab (Cadwell) and PFT (Breeze Suite) Monday-Friday

Scouting America is seeking a detail-oriented and strategic Philanthropic Business Analyst to join our National Office of Development team. This role plays a key part in enhancing fundraising effectiveness through high-quality data analysis, reporting, and prospect identification that support strategic decision-making and deepen donor engagement. The Philanthropic Business Analyst will manage and interpret donor data to generate actionable insights and strengthen operational efficiency across the fundraising function. The ideal candidate combines analytical expertise with a commitment to advancing Scouting America's mission, working collaboratively and independently to drive data-informed strategies and optimize fundraising performance. This position reports to the Director of Development Services. Responsibilities Analyzes donor and fundraising data to uncover trends and opportunities. Delivers actionable, data-driven recommendations to enhance campaign performance and donor engagement. Develops predictive models to forecast giving trends and inform strategy. Champions data literacy and foster a culture of data-informed decision-making. Designs and maintains dashboards and reports using CRM and BI tools (e.g., Power BI, SQL, Excel). Ensures data accuracy, integrity, and usability across fundraising systems. Supports recurring reporting needs and implement business intelligence tools. Trains staff in interpreting data and utilizing reporting tools effectively. Collaborate with CRM, IT, and cross-functional teams to structure and clean data for analysis. Improves operational processes and policies to enhance efficiency and effectiveness. Manages donor-related data for events and communications, including segmentation and tracking. Maintains data hygiene through regular audits and updates (e.g., duplicates, deceased records, solicitation preferences). Stays current on best practices in analytics and nonprofit fundraising strategy. Performs other duties as assigned. Competencies Knowledge of: Fundraising strategy and donor lifecycle; CRM systems (e.g., Blackbaud CRM, Raiser's Edge, Salesforce, Microsoft Dynamics); BI and data visualization tools (e.g., Power BI); Data analytics tools (SQL, Excel, etc.) Skills in: Analyzing and interpreting complex data; communicating insights through clear storytelling; collaborating with technical and non-technical stakeholders; project planning and time management. Ability to: Present complex findings to diverse audiences; align analysis with strategic development goals; translate data into recommendations for action; work independently and manage multiple priorities. Qualifications 2+ years of data analysis experience, ideally in a nonprofit or fundraising setting. Must be proficient in CRM systems, especially Blackbaud CRM, and possess strong analytical and communication skills. Ability to transform complex data into clear, actionable insights and presenting findings to diverse stakeholders, regardless of their data fluency. Must pass a criminal history background check. Any work-related experience resulting in acceptable proficiency levels in the above Minimum Qualifications is an acceptable substitute for the above-specified education and experience requirements Preference Experience in a federated nonprofit model and familiarity with nonprofit fundraising strategy, including major gifts and annual giving.

Client-Facing | Project-Driven | Mid-Senior Level About Us We are a fast-growing benefits technology organization partnering with mid-market and enterprise employers across the U.S. to solve complex data and administration challenges. Our platform connects HR, payroll, and vendor systems to streamline eligibility, deductions, compliance, and ongoing plan management. We operate with a “work anywhere” mindset, value long-term client relationships, and are continuing to expand due to increased demand for our services. Our team culture emphasizes collaboration, accountability, and a genuine commitment to doing right by clients and partners. About The Role We're looking for a technically strong, client-facing Analyst who can build data integrations from the ground up and guide customers through onboarding. This isn't a heads-down processing role...this position engages directly with clients, gathers requirements, and translates them into fully functioning payroll and benefits data feeds. You'll work on multiple concurrent implementation projects, partnering closely with internal teams and external vendors to ensure every file is configured accurately and launched on schedule. Success in this role requires both analytical skill and professional polish. What You'll Be Doing Own end-to-end development of new data exchanges, including requirements gathering, build, testing, launch, and transition to ongoing support. Lead calls with clients and vendor partners to uncover needs, clarify file logic, and capture specs. Build new payroll deduction and HRIS data feeds, including field mapping and data validation. Apply programming-style logic (e.g., conditional mapping, transformation rules) to large, complex datasets. Coordinate with internal project managers and configuration teams to ensure timelines and requirements are aligned. Document technical specifications, file layouts, transfer protocols, and testing results. Identify issues quickly and drive resolution across internal and external teams. Support quality assurance efforts and contribute to continuous process improvements. Serve as the primary connection between client stakeholders and internal resources throughout the onboarding lifecycle. Ensure a smooth handoff into steady-state operations with complete documentation and issue resolution. What You Bring Bachelor's degree preferred 4+ years working in data integrations, HR/payroll connectivity, SaaS onboarding, or file-based implementation work Hands-on experience building payroll files or similar data feeds...not just maintaining existing ones Strong Excel and XML/XSL skills; familiarity with SQL, JavaScript, or similar tools is beneficial Ability to understand and apply programming-style logic in a non-software engineering role Experience working directly with clients - comfortable leading calls and translating requirements Highly organized and able to manage multiple workstreams with overlapping deadlines So, if you're interested in joining a well-established industry leader with incredible opportunities for growth, apply today!

Job Title: Slotting Analyst Job Type: Contract through 4/31/2026 with potential for extension or conversion We are looking for a skilled and analytical Slotting Analyst to join our inventory control focused supply chain team. The ideal candidate will have 3-5 years of experience in warehouse data analysis with a strong command of SQL and Excel. This role will play a critical part in turning complex data into actionable insights to drive decision-making for a major supply chain modernization initiative. Key Responsibilities: Warehouse Flow Analysis: Conduct on-site audits of warehouse pick paths and travel patterns. Map and document building layouts, including shelving levels and order picker zones. Evaluate how associates currently group work and navigate through locations. Slotting Optimization: Analyze inventory data to determine optimal product placement. Develop slotting strategies that reduce travel time and improve picking efficiency. Data Analysis & Reporting: Pull and manipulate data using SQL queries. Apply advanced Excel formulas to calculate and visualize slotting paths Prepare reports and recommendations for operational improvements. Collaboration: Partner with local operations teams to understand current processes and pain points. Communicate findings and proposed changes to stakeholders effectively. Qualifications: Bachelor's degree in Data Analytics, Supply Chain Management, Industrial Engineering, Computer Science, Statistics, or related field 3-5 years of experience minimum in a supply chain analyst role Intermediate to Advanced SQL skills, with experience querying and transforming large data sets Advanced Excel experience (including manual formulas) Inventory management experience Strong understanding of supply chain concepts and key performance indicators (KPIs) High attention to detail, data accuracy, and analytical thinking Excellent communication skills and the ability to present insights to both technical and non-technical audiences Preferred Qualifications: Experience with SAP Warehouse Management or EWM Experience with data warehouses (e.g., Snowflake) Background in Industrial Engineering or Lean Process Improvement Knowledge of warehouse slotting principles

We are a vertically integrated real estate investment, development, and management firm focused on the acquisition and repositioning of value-add multifamily communities across the United States. With in-house property management and construction management platforms, we execute full-cycle business plans designed to enhance asset performance and maximize value for our partners. Position Summary: The Asset Management Analyst will provide critical analytical, financial, and administrative support to the Asset Management team overseeing a national portfolio of value-add multifamily properties. This is a high-impact, cross-functional role that requires a mix of quantitative rigor, operational understanding, and proactive project management. The Analyst will assist in driving the performance of the portfolio by supporting renovation oversight, financial tracking, lender and investor reporting, and team coordination across departments. Travel: 10% Location: Dallas, TX Key Responsibilities: Build and maintain property-level financial models, including actual vs. pro forma comparisons, reforecasts, and investor return tracking. Assist in rent roll audits, lease trade-out analysis, retention tracking, and performance dashboards. Support ad hoc analysis such as breakeven occupancy studies, refinancing scenarios, and rent pricing strategies. Collaborate with the Asset and Construction Management teams to track CapEx budgets, monitor renovation progress, and ensure alignment with business plans. Prepare and submit monthly lender CapEx draw packages, including supporting invoices, lien waivers, pay apps, and photo documentation. Maintain draw tracking logs, update draw schedules, and follow up on disbursements with lenders and internal accounting. Support preparation of monthly, quarterly, and annual reports for lenders, partners, and internal stakeholders. Track compliance requirements related to loan covenants, investor agreements, and municipal reporting (e.g., inspections, insurance, taxes). Coordinate documentation needed for property tax appeals, insurance renewals, and lender deliverables. Liaise with in-house property management and construction management teams to gather data, monitor timelines, and surface risks or delays. Follow up with internal teams and external partners (lenders, consultants, vendors) to drive progress toward asset-level goals. Assist Asset Managers in organizing weekly performance calls, preparing agendas, and distributing action item summaries. Conduct market-level research and rent comp studies to support pricing, renewal, and leasing strategy decisions. Help evaluate the impact of new supply, market absorption, and economic conditions on asset-level performance. Qualifications: Bachelor's degree in Finance, Real Estate, Economics, Accounting, or related field. 1-2 years of experience in real estate asset management, investment analysis, consulting, or private equity (multifamily experience preferred). Strong proficiency in Excel and PowerPoint; experience with Yardi, RealPage, and/or Argus a plus. Familiarity with CapEx draw processes and loan servicing documentation is preferred. Highly organized, self-motivated, and able to manage multiple deadlines across different stakeholders. Strong interpersonal and written communication skills. Ability to travel occasionally for site visits and internal team meetings. Compensation & Benefits: Competitive base salary + discretionary bonus Full health, dental, and vision benefits 401(k) with company match Paid time off, holidays, and sick leave Exposure to senior leadership and career path opportunities across asset management, development, and acquisitions

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in remote. Build, optimize, and maintain customer data pipelines in PySpark/Databricks to support CDP-driven use cases across AWS/Azure/GCP Transform raw and integrated customer data into analytics-ready datasets used for dashboards, reporting, segmentation, personalization, and downstream AI/ML applications Develop and enrich customer behavior metrics, campaign analytics, and performance insights such as: ad engagement, lifecycle metrics, retention Partner with Marketing, Sales, Product, and Data Science teams to translate business goals into metrics, features, and analytical data models Build datasets consumed by Power BI/Tableau dashboards (hands-on dashboard creation not required) Ensure high cluster performance and pipeline optimization in Databricks, including troubleshooting skewed joins, sorting, partitioning, and real-time processing needs Work across multiple cloud and vendor ecosystems such as: AWS/Azure/GCP; Hightouch or comparable CDP vendors Participate in the data ingestion and digestion phases, shaping integrated data into analytical layers for MarTech and BI Contribute to and enforce data engineering standards, documentation, governance, and best practices across the organization Desired Skills/Experience: 6+ years of experience in Data Engineering, Analytics Engineering, or related fields, including data modeling experience Strong Data Engineering fundamentals with the ability to design pipelines, optimize performance, and deliver real-time or near-real-time datasets Ability to deeply understand data, identifying gaps, designing meaningful transformations, and creating metrics with clear business context Understanding of how customer data moves through Customer Data Platforms (CDPs) and how to design pipelines that integrate with them Experience supporting Marketing, Customer Data, MarTech, CDP, segmentation, or personalization teams strongly preferred Hands-on experience required with: Databricks, PySpark, Python, SQL, Building analytics datasets for dashboards/reporting and customer behavior analytics or campaign performance insights Experience designing and implementing features that feed downstream AI or customer-facing applications Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $150-160,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI