Data analyst jobs in Grapevine, TX

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.

Role: Junior Business Analyst Required Skills & Experience - Bachelor's degree in Management Information Systems, Business Administration, Data Science, Information Management, or similar. - Basic experience with object oriented programming languages- C# preferred, Java, C++ if no C# - Strong knowledge with SQL and experience working with it for data visualization - Strong personality, confidence, and work ethic Job Description This position will work within the Software Development group to facilitate change and improvement in front, mid, and back-office processes. Process change and improvement are primarily achieved through continued improvement and implementation of TPS's proprietary flagship system, PowerTools Platform (PTP). The primary responsibility of the Solutions Developer is to assess overall business objectives within one or more business groups and design business processes in such a way that they may be effectively modeled and configured within the PTP environment. This candidate must also apply a broad knowledge of business strategies, industry specifics, and various technical functions to accurately implement change and anticipate organizational impacts. Training will be provided for PowerTools Platform and other internally developed tools; Solutions Developers will internalize the lessons from these training courses and apply lessons learned to a wide range of situations.

Senior Data Governance Consultant (Informatica) About Paradigm - Intelligence Amplified Paradigm is a strategic consulting firm that turns vision into tangible results. For over 30 years, we've helped Fortune 500 and high-growth organizations accelerate business outcomes across data, cloud, and AI. From strategy through execution, we empower clients to make smarter decisions, move faster, and maximize return on their technology investments. What sets us apart isn't just what we do, it's how we do it. Driven by a clear mission and values rooted in integrity, excellence, and collaboration, we deliver work that creates lasting impact. At Paradigm, your ideas are heard, your growth is prioritized, your contributions make a difference. Summary: We are seeking a Senior Data Governance Consultant to lead and enhance data governance capabilities across a financial services organization The Senior Data Governance Consultant will collaborate closely with business, risk, compliance, technology, and data management teams to define data standards, strengthen data controls, and drive a culture of data accountability and stewardship The ideal candidate will have deep experience in developing and implementing data governance frameworks, data policies, and control mechanisms that ensure compliance, consistency, and trust in enterprise data assets Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred This position is Remote, with occasional travel to Plano, TX Responsibilities: Data Governance Frameworks: Design, implement, and enhance data governance frameworks aligned with regulatory expectations (e.g., BCBS 239, GDPR, CCPA, DORA) and internal control standards Policy & Standards Development: Develop, maintain, and operationalize data policies, standards, and procedures that govern data quality, metadata management, data lineage, and data ownership Control Design & Implementation: Define and embed data control frameworks across data lifecycle processes to ensure data integrity, accuracy, completeness, and timeliness Risk & Compliance Alignment: Work with risk and compliance teams to identify data-related risks and ensure appropriate mitigation and monitoring controls are in place Stakeholder Engagement: Partner with data owners, stewards, and business leaders to promote governance practices and drive adoption of governance tools and processes Data Quality Management: Define and monitor data quality metrics and KPIs, establishing escalation and remediation procedures for data quality issues Metadata & Lineage: Support metadata and data lineage initiatives to increase transparency and enable traceability across systems and processes Reporting & Governance Committees: Prepare materials and reporting for data governance forums, risk committees, and senior management updates Change Management & Training: Develop communication and training materials to embed governance culture and ensure consistent understanding across the organization Required Qualifications: 7+ years of experience in data governance, data management, or data risk roles within financial services (banking, insurance, or asset management preferred) Strong knowledge of data policy development, data standards, and control frameworks Proven experience aligning data governance initiatives with regulatory and compliance requirements Familiarity with Informatica data governance and metadata tools Excellent communication skills with the ability to influence senior stakeholders and translate technical concepts into business language Deep understanding of data management principles (DAMA-DMBOK, DCAM, or equivalent frameworks) Bachelor's or Master's Degree in Information Management, Data Science, Computer Science, Business, or related field Preferred Qualifications: Hands-on experience with Informatica, including Master Data Management (MDM) or Informatica Data Management Cloud (IDMC), is preferred Experience with data risk management or data control testing Knowledge of financial regulatory frameworks (e.g., Basel, MiFID II, Solvency II, BCBS 239) Certifications, such as Informatica, CDMP, or DCAM Background in consulting or large-scale data transformation programs Key Competencies: Strategic and analytical thinking Strong governance and control mindset Excellent stakeholder and relationship management Ability to drive organizational change and embed governance culture Attention to detail with a pragmatic approach Why Join Paradigm At Paradigm, integrity drives innovation. You'll collaborate with curious, dedicated teammates, solving complex problems and unlocking immense data value for leading organizations. If you seek a place where your voice is heard, growth is supported, and your work creates lasting business value, you belong at Paradigm. Learn more at ******************** Policy Disclosure: Paradigm maintains a strict drug-free workplace policy. All offers of employment are contingent upon successfully passing a standard 5-panel drug screen. Please note that a positive test result for any prohibited substance, including marijuana, will result in disqualification from employment, regardless of state laws permitting its use. This policy applies consistently across all positions and locations.

Founded in 2008, The Fay Group is a diversified real estate services company offering a complete range of home ownership products and services to include mortgage servicing, property renovations, property management, realty, business purpose lending, and insurance to homeowners, investors and clients nationwide. We consider the people behind those mortgages and work hard to give them the best opportunity to stay in their homes by providing solutions to navigate the challenges of homeownership while working toward their long-term financial goals. We are currently looking for a Client Reporting Analyst to join our team. Reporting to the EVP, Asset Management, this position plays a vital role in supporting investor relations by preparing and delivering a comprehensive suite of monthly accounting reports tailored to the needs of assigned clients. This position compiles and validates financial data, ensuring timely and accurate reporting, and maintaining compliance with client-specific requirements and regulatory standards. This position processes loan transfers and performs detailed reconciliation of servicing transactional data. Additionally, this role also serves as a point of escalation for complex issues, including discrepancies in loan data and reporting anomalies, requiring resolution beyond standard servicing procedures. The ideal candidate must be able to complete all physical requirements of the job with or without a reasonable accommodation. While performing the duties of this job, the employee is required to sit as well as work at a computer for extended periods of time, utilizing a keyboard and mouse. The employee should be able to communicate by telephone, email, and face-to-face. Qualifications Include: Bachelor's degree in Business or related field (or equivalent combination of years of experience with High School Diploma/GED) required 3+ years' experience in Investor Reporting or Investor Accounting required 3+ years' experience with data visualization platforms like PowerBI, Tableau, or similar. 2+ years' experience in the mortgage industry, including servicing, processing rules, and guidelines Familiarity with custodial account reconciliation and expected cash testing is preferred Proven ability to work effectively in a fast-paced, deadline-driven environment Experience with Black Knight MSP preferred Strong skills in the MS Office Suite with advanced Excel skills for data compilation and analysis Strong verbal and written communication skills Strong interpersonal skills Strong analytical skills Strong problem-solving, data collection, analysis, and decision-making skills Solid decision-making abilities coupled with sound judgment Strong time management skills Ability to prioritize numerous tasks and manage shifting priorities Client-focused with strong execution skills and results orientation High level of precision with attention to detail and consistency Flexible, open to change, and able to learn new things quickly Ability to work in a collaborative environment and provide guidance for working groups Featured Benefits Medical, Dental, and Vision Insurance Company Paid Life Insurance Disability Insurance Pet Insurance 401(k) Program with Employer Matching 3 Weeks Paid Time Off (PTO) Paid Holidays Wellness Initiatives Employee Assistance Program Eligible for Hybrid Work Schedule with Remote Flex Days Compensation The hiring range for this position is between $75,000.00-$90,000.00 annually This position is eligible for an annual discretionary bonus Fay Cares! The Fay-Constructive Foundation was established to fulfill the philanthropic mission of The Fay Group employees to serve the communities in which they live and work. Our employees make voluntary contributions to the Foundation. Each quarter, their contributions are donated to organizations focused on improving education opportunities, combating poverty, and supporting military service members and first responders. At Fay, we believe that the best ideas come from having a team that is diverse in backgrounds, experiences, and perspectives. We strive to ensure each of our employees feels valued, respected, and included, and is presented with equal opportunities to be successful. Fay is an equal-opportunity workplace. The Fay Group and affiliated companies participate in E-Verify. For more information, go to *********************

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.

Job Title: Epic Associate Systems Analyst Duration: 9-month Contract to Hire Our client in Dallas, TX is looking to build the next wave of their workforce within their Epic department. They are looking for associate, healthcare-minded professionals to join their team and grow a career within IT. The ideal candidate will possess a broad knowledge within healthcare or IT systems and be passionate about growing their professional career at a top health system in the country. Each candidate selected to join the Epic group will be provided with an 8-week curriculum training course to prepare for the Epic certification examination. Upon completion of the Epic certification examination, daily Epic responsibilities and projects will ensue. Responsibilities: After completing the Epic examination, support the Epic team with new build, integrated testing, outstanding tickets Absorb and complete continued learning courses provided in various learning paths provided throughout the engagement Assert initiative to grow and evolve within a nationally recognized health system environment by cultivating relationships with senior-level leaders, attending industry conferences and functions, learning healthcare trends, and absorbing personal & professional growth content. Qualifications: Bachelors degree with technical bootcamp certificate Looking to professionally grow and be a sustainable standard of excellence within a nationally-recognized healthcare organization Aptitude to perform mid to high level technical functionalities and workflows (training included)

Business Analyst - Intermediate Duration: Contract We are seeking an experienced Business Analyst - Intermediate to join our team in Plano, Texas. The ideal candidate will have a strong understanding of business applications, data usage, and advanced business and data analysis. This role requires proficiency in change management, business continuity, and the ability to collaborate with cross-functional teams to deliver high-quality product features and enhancements. Responsibilities: Collaborate with product managers to define product roadmap and vision. Assist in the planning, execution, and delivery of product features and enhancements. Coordinate with engineering, design, and other stakeholders to ensure timely and high-quality product releases. Monitor and report on product performance, using data-driven insights to inform decision-making. Identify and mitigate risks and dependencies that may impact product delivery. Support the development and maintenance of product documentation, including user stories, requirements, and release notes. Foster a culture of continuous improvement by identifying opportunities for process optimization and efficiency. Engage with clients and stakeholders to gather feedback and ensure alignment with business objectives. Support delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting. Contribute to change management activities across functional partners and document adherence to the firm's risk, controls, compliance, and regulatory requirements. Document blockers and impediments to aid with dependency management and resource availability. Qualifications: Proficient in knowledge of business applications, data usage, and word processing tools. Advanced knowledge of data management tools and flow charting tools. Ability to understand the logic of code and construct simple data queries. Advanced business and data analysis, business process, and application knowledge. Strong understanding of change management and business continuity. Experience with product management and product development lifecycle. Proficiency in project management and agile methodologies. Skilled in backlog management, sprint planning, and agile story writing. Experience with tools like Jira. Excellent communication and interpersonal skills. Analytical mindset with attention to detail. Data-driven decision-making abilities. Ability to thrive in a fast-paced environment and collaborate across functions. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ***************** At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $45 - $50 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************

**No C2C or Sponsorship Available** Our North Dallas client is seeking an experienced Application Support Analyst with 3-5 years of hands-on experience troubleshooting enterprise applications. This role plays a critical part in supporting Oil & Gas applications. The ideal candidate will manage escalations from the help desk, ensure application security, and assist in user setup and support. Key Responsibilities Provide Tier 2/3 support for business-critical applications including Enertia, WellView, SiteView, and Aucerna. Respond to and resolve escalated incidents and service requests in a timely and professional manner. Manage user account setup, access controls, and application security configurations. Collaborate with IT and business teams to identify and resolve application issues. Maintain documentation related to support procedures, system configurations, and user guides. Participate in application upgrades, testing, and deployment activities. Identify recurring issues and recommend long-term solutions and improvements. Required Qualifications 3-5 years of experience in an application support or analyst role. Proven ability to troubleshoot complex application issues across multiple platforms. Experience supporting and maintaining document and policy management systems. Strong understanding of application security and user access management. Excellent communication and problem-solving skills. Preferred Qualifications Experience with ServiceNow or similar ITSM platforms. Familiarity with Oil & Gas industry-specific applications and business processes. Background in business analysis or audit/compliance functions. Ability to document workflows, support procedures, and system use cases.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Data Scientist with DataBricks experience Plano, TX (5 Days Onsite) Interview Mode:-Phone & F2F Rate Range $40 to $47 hr W2 All Inc Job Overview We are seeking a highly skilled, independent, and results-driven Data Scientist with strong expertise in GenAI, LLMs, Python, Spark, Databricks, and End-to-End ML Model Development. The ideal candidate will be capable of translating business needs into scalable analytical solutions and delivering production-grade machine learning models. Key Responsibilities Build statistically sound analyses and production-ready ML models. Develop and optimize models using H2O frameworks (XGBoost, Logistic Regression, Neural Networks, Random Forest). Work extensively with MongoDB and NoSQL datasets. Design, develop, and maintain ML training pipelines and support ML model deployment. Utilize Databricks, Hadoop ecosystem, and PySpark for large-scale data preparation and modeling. Implement advanced ML concepts such as: Real-time distributed model inferencing pipelines A/B Testing Champion/Challenger frameworks Develop scalable workflows using Python, Spark, and related libraries. Use Unix/Linux and shell scripting for automation and environment management. Support ML production implementation, monitoring, and troubleshooting. Deliver high-quality solutions with strong attention to detail and timely execution. Required Skills & Qualifications Python & Spark Expertise Databricks & PySpark Experience GenAI & LLM Knowledge H2O Model Development (XGBoost, Logistic Regression, Neural Networks, Random Forest) MongoDB / NoSQL Databases Hadoop Ecosystem ML Pipeline Development & Deployment Real-Time Model Inferencing Champion/Challenger Frameworks & A/B Testing Unix/Linux & Shell Scripting DS/ML Production Implementation Preferred Skills Azure Cloud experience Advanced experience with Databricks in cloud environments Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

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.

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.

Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills. Responsibilities Investigate and Analyze data anomalies and data issues reported by Business Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations Assist in break fix and production validation as it relates to data derivations, replication and structures Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage Gather information from various Sources and interpret Patterns and Trends Ability to work in a team-oriented, fast-paced agile environment managing multiple priorities Qualifications 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases 4+ years of experience working with Exadata and SQL Server databases 4+ years in a Data Analyst role Strong attention to Detail 2+ years writing medium to complex stored procedures a plus Ability to collaborate effectively and work as part of a team Extensive background in writing complex queries Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking Good Communication skills Self-Motivated Works well in a team environment Denodo Experience a plus Master Data Management a plus Big Data Experience a plus (Hadoop, MongoDB) Postgres and Cloud Experience a plus

We are looking for a tech-savvy problem solver for an Application Support Analyst role to assist in maintaining and configuring mission-critical systems that power our operations. The Application Support Analyst is responsible for providing technical support, configuration and maintenance for business applications, ensuring optimal performance and user satisfaction. This role involves troubleshooting issues, writing reports, coordinating with different departments, and delivering high-quality support to end-users in a fast-paced environment. Duties and Responsibilities: Application Support: Monitor, configure, troubleshoot, and resolve issues related to enterprise applications, ensuring end user support and efficient system performance. Incident Management: Respond to and resolve end users' requests in a timely manner, escalating complex issues to senior technical teams when necessary. User Assistance: Provide guidance, configuration and training to end-users on application functionality, ensuring effective use of systems. System Maintenance: Perform regular maintenance tasks, including software updates and configuration changes to ensure system reliability. Data Integrity and Visualizations: Create reports and leverage data visualizations tools. Assist in application configurations to promote data integrity through data entry. Provide data Integration into industry specific applications from Acquisitions. Documentation: Create and maintain detailed documentation related to business processes, issue resolutions, and system configurations. Collaboration: Work closely with infrastructure team, end-users and application vendors to identify and implement application improvements. Root Cause Analysis: Investigate recurring issues to identify root causes and recommend long-term solutions to prevent future occurrences. Monitoring and Reporting: Utilize monitoring tools to track application performance and generate reports for stakeholders. Compliance: Ensure applications adhere to organizational security policies and audit requirements. Knowledge, Skills, and Abilities Bachelor's/University degree or equivalent experience in the oil and gas industry preferred 1+ years of hands-on SQL experience preferred Strong SQL skills - SQL queries, stored procedures, views, and SQL Agent Jobs Data Visualization Tools - Report Writing: Power BI, Spotfire, SSRS Application support expertise - Proficiency in troubleshooting software applications and understanding of IT Systems (e.g., Windows or cloud-based environments), vendor management and root cause analysis Industry specific software - Preferred knowledge of Aries, Wellview/Siteview, Prodview, TabFusion, Quorum, Conduit, CygNet, Petra, ArcGIS Technical knowledge - Relational Databases, ETL Processes, SSIS, API, XML Coding - Some experience in writing and interpreting scripts, PowerShell, Python Business process mindset - translate operational needs into technical solutions Teamwork - Ability to work in a team environment and learn new skills quickly with little supervision Personal skills - Communication, self-study and a desire to your grow knowledge base and a career Equal Opportunity Employer Prospective employees will receive consideration without discrimination because of race, color, religion, marital status, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran status, disability, or genetic information.

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

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!

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

Our client is seeking an Azure Data Engineer to join their team! This position is located in Irving, Texas. THIS ROLE REQUIRES AN ONSITE INTERVIEW IN IRVING, please only apply if you are local and available to interview onsite. Duties: Lead the design, architecture, and implementation of key data initiatives and platform capabilities Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement solutions Lead and mentor a team of 2-5 data engineers, providing guidance on technical best practices, career development, and initiative execution Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders Desired Skills/Experience: Bachelor's degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, etc. 5+ years of relevant work experience in data engineering Strong technical skills in SQL, PySpark/Python, Azure, and Databricks Deep understanding of data engineering fundamentals, including database architecture and design, ETL, etc. Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $140-145,000+. 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.

The Skills and Expertise You Bring Bachelor's degree in computer science engineering or equivalent 8+ years of relevant experience in database development 8+ years hands-on RDBMS expertise (Oracle, Exadata, PostgreSQL). Extensive hands-on experience with ETL/ELT tools (Informatica, SnapLogic). Expertise in Data Analysis, Data Profiling and Data Modeling skills. Knowledge of Data Warehousing methodologies and concepts. Build and maintain robust ETL pipelines to integrate data from multiple sources into OLAP data stores, ensuring data integrity and consistency. Bring an innovative spirit in search of efficiencies, process improvement opportunities, technical improvements, and other ways to add value to the organization with focus on operations improvement. Extensive experience with PL/SQL, database stored procedures, and performance tuning. Proficiency in Python Proficiency with python for data movement/transformation including development of classes and object-oriented code. Complex batch cycle orchestration (tools like Control-M, Autosys or Crontab). Implement best practices in data security, role-based access control, and data masking to maintain compliance and data governance standards. Knowledge of Cloud platforms and Services (AWS - IAM, EC2, S3, Lambda, RDS). Knowledge of data streaming tools like Kafka, Kinesis. Design experience of scalable data models, optimized for data ingestion and analytics requirements including SCD. Developing and automating deployment with GIT, Jenkins, and CICD Processes. Skills that are an advantage: Knowledge of non-RDBMS databases like Graph, No-SQL, Timeseries databases. Working knowledge of analytics and BI front-end tools like Power BI, Tableau, and ThoughtSpot. Financial Services experience.

Job: Database Developer (Heavy PL/SQL) Long term contract MUST HAVE: PL/SQL, Co-Pilot, AWS and python are nice to have. The Skills and Expertise You Bring Bachelor's degree in computer science engineering or equivalent 8+ years of relevant experience in database development 8+ years hands-on RDBMS expertise (Oracle, Exadata, PostgreSQL). Extensive hands-on experience with ETL/ELT tools (Informatica, SnapLogic). Expertise in Data Analysis, Data Profiling and Data Modeling skills. Knowledge of Data Warehousing methodologies and concepts. Build and maintain robust ETL pipelines to integrate data from multiple sources into OLAP data stores, ensuring data integrity and consistency. Bring an innovative spirit in search of efficiencies, process improvement opportunities, technical improvements, and other ways to add value to the organization with focus on operations improvement. Extensive experience with PL/SQL, database stored procedures, and performance tuning. Proficiency in Python Proficiency with python for data movement/transformation including development of classes and object-oriented code. Complex batch cycle orchestration (tools like Control-M, Autosys or Crontab). Implement best practices in data security, role-based access control, and data masking to maintain compliance and data governance standards. Knowledge of Cloud platforms and Services (AWS - IAM, EC2, S3, Lambda, RDS). Knowledge of data streaming tools like Kafka, Kinesis. Design experience of scalable data models, optimized for data ingestion and analytics requirements including SCD. Developing and automating deployment with GIT, Jenkins, and CICD Processes.