Data analyst jobs in Longview, TX

Drive completion of data projects and deliverables including the execution of highly complex data solutions while demonstrating best practices, processes and standards for user story development, data analysis, architecture, Modeling, design, coding, and testing. Lead or assist in the development, documentation, and maintenance of the enterprise data architecture and its deliverables including the design principles, models, and mappings for transactional and analytical systems serving both strategic and tactical needs. Work closely with the business, mapping their most pressing business problems to data and analytic solutions. Develop data models and data transformation logic. Work with data engineers to implement data pipelines. Prototype data solutions to enable the measurement or monitoring of key performance indicators. Collaborate with senior management to understand data needs in support of departmental goals. Partner with product owners and managers in developing scope, dependencies, estimates, project plans, schedules, status reporting, and issue/risk management. Become the subject matter expert in multiple data domains. Responsible for defining company standards around data quality. Maximize opportunities to implement self-service to allow the business to find the data they need quickly, easily and accurately. Enable data science team to build ML models by designing and providing high quality data. Establish and maintain effective and positive relationships with internal and external customers.

Upstream Operations Data Analyst will be a key contributor in managing and analyzing drilling and completion data to support optimization and performance improvement across the organization. This individual will serve as a key link between field operations, engineering, and leadership by transforming raw operational data into meaningful insights that drive informed decision-making. The ideal candidate brings strong analytical and visualization skills, a proactive mindset with a passion for improving workflows and data integrity, and a general understanding of upstream oil and gas operations. Key Responsibilities Develop, maintain, and enhance datasets, dashboards, and reporting tools that support daily drilling and completion performance tracking Aggregate and validate large volumes of operational data from multiple internal and third-party systems to ensure data quality, consistency, and accessibility Create visualizations and performance dashboards in Power BI, Spotfire, and Excel to communicate key metrics to technical and leadership teams Facilitate generation of cost estimates and maintain ongoing progress tracking for project budgets and schedules Conduct analytical deep dives into drilling, completion, and production datasets to identify performance trends, cost drivers, and efficiency opportunities Support engineering and operations teams by providing workflow automation solutions Collaborate with IT, engineers, and operations personnel to standardize data collection, nomenclature, and reporting processes Maintain and evolve master data structures for drilling and completions Assist in developing and implementing data governance best practices to ensure consistent, reliable data across platforms Contribute to ongoing digital transformation and continuous improvement initiatives focused on enhancing visibility, automation, and decision support Qualifications Required: Bachelor's degree 2-5 years experience as a proven data analyst Advanced proficiency in Microsoft Excel, Power BI, and Spotfire (nice to have but not required) for data analysis and visualization. Experience with SQL, Python, or similar tools for data querying, transformation, or automation Demonstrated ability to translate complex datasets into actionable insights Passion for contributing to collaborating and working with teams to innovate, develop, and continuously develop/improve systems and processes Ability to travel monthly with occasional overnight stay required Preferred: Bachelor's degree in Data Analytics, Engineering, Computer Science, Petroleum Technology, or a related field Prior experience in oil and gas preferred but not required. Familiarity with Microsoft Project also preferred. Understanding of upstream operational data flows (daily drilling reports, completion reports, cost tracking, time/depth data, etc.) Familiarity with data warehouse environments and API-based data integration Background in supporting multi-rig, multi-pad, or multi-fleet operations with analytics and reporting solutions Core Competencies Collaborative Team Player: Engages effectively with engineering, operations, and IT to align data efforts with business objectives Self-Starter: Driven to identify opportunities, streamline workflows, and deliver value with minimal supervision Analytical: Enthusiastic about uncovering insights to improve efficiency and reduce cost Detail-Oriented: Ensures data integrity and reporting accuracy in fast-paced operational environments Communicative: Able to present findings in formats which are clear to both technical and non-technical stakeholders within the organization

Employment Type: Full-Time Work Authorization: Must possess valid U.S. work authorization Experience Level: 0-5 years Education Requirement: Master's degree in a relevant field About the Role We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will leverage data to support business decision-making, conduct in-depth analyses, and develop insights that drive operational and strategic improvements. This role is suited for early-career professionals with strong quantitative skills and a passion for transforming data into actionable information. Key Responsibilities Collect, clean, and analyze large datasets from multiple sources. Develop dashboards, reports, and visualizations to communicate insights to stakeholders. Apply statistical methods, data modeling, and quantitative analysis to solve business problems. Collaborate with cross-functional teams to define data requirements and analytics needs. Identify trends, patterns, and opportunities for process improvements. Support the development and maintenance of data pipelines and documentation. Ensure accuracy, consistency, and integrity of reported data. Present findings in a clear and concise manner to both technical and non-technical audiences. Required Qualifications Master's degree in Data Science, Statistics, Computer Science, Analytics, Engineering, Business Analytics, or a related field. 0-5 years of experience in a data analyst, business analyst, or relevant quantitative role. Valid U.S. work authorization. Proficiency in SQL and experience with relational databases. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong analytical and problem-solving skills. Experience with Python or R for data analysis. Ability to communicate complex results clearly and effectively. Preferred Qualifications Experience with cloud technologies (AWS, Azure, or GCP). Familiarity with machine learning techniques or predictive modeling. Knowledge of ETL processes and workflow automation tools. Experience working with large-scale datasets or big data platforms. Benefits 401(k) plan with company match Dental and vision insurance Health insurance coverage Joining bonus Generous paid time off and holidays Learning & development opportunities

Title: Data Analyst Type: Full-Time About the Role: Optimize Search Group is seeking a hands-on Data Analyst who can own reporting, dashboards, and business intelligence across sales, service, customer, and operational metrics for our client. This role is highly collaborative, generative in nature, and requires someone who can work directly with executives and cross-functional stakeholders to translate business needs into clean, accurate, and actionable analytics. You will be responsible for gathering requirements, building mockups, validating data, and ensuring the right data flows into dashboards used for business-critical decisions. Key Responsibilities Partner with executives and business stakeholders to understand reporting needs and define analytical requirements. Develop interactive dashboards, metrics, and visualizations across sales, customer success, support/service cases, product usage, and operational KPIs. Create mockups and prototypes to validate requirements before full build-out. Build and optimize SQL queries to pull, clean, transform, and validate datasets. Ensure accurate data ingestion and pipeline alignment in Snowflake. Maintain and enhance reporting inside Sigma BI Own the full lifecycle of dashboard and report creation-requirements, data modeling, build, QA, release, and ongoing improvements. Improve visibility into customer metrics, SaaS KPIs, funnel analytics, renewal forecasting, and churn/retention indicators. Troubleshoot data discrepancies, fix schema or join issues, and ensure source-of-truth accuracy across systems. Present insights and recommendations to leadership in clear, consumable formats. Required Qualifications 3-6 years of experience as a Data Analyst, BI Analyst, or similar data role. Strong proficiency in SQL with the ability to write complex joins, CTEs, window functions, and performance-optimized queries. Experience with Snowflake or similar cloud data warehouses. Strong data visualization and dashboard development skills. Experience working directly with executive leadership and multiple business stakeholders. Strong communication skills, including the ability to gather requirements, explain data concepts, and present findings clearly. Hands-on experience building KPIs for sales, customer success, service operations, or SaaS metrics. Comfortable working in a 5-days on-site environment (Irving, TX). Preferred Qualifications Experience in a SaaS environment or subscription-based business model. Experience with Sigma BI (preferred), or advanced proficiency in one or more of the following: Tableau Power BI Qlik Looker Other industry BI visualization tools Experience with generative analysis (building insights from ambiguity or open-ended business questions). Experience creating dashboards from scratch-mockups, wireframes, and end-to-end execution. What Makes This Role Exciting You'll have direct access to executives and decision-makers. Your dashboards will directly influence sales strategy, customer insights, and operational improvements. A high-impact environment where quality, accuracy, and creativity are valued. Opportunity to shape BI standards, tools, and data quality across the organization.

Duration: 12 Months Contract This role supports business processes and system requirements through the design, configuration, implementation, administration, and reporting of IT systems for the EIT Operations and End User Support teams. The position focuses on delivering actionable insights via SQL Server Reporting Services (SSRS), Microsoft Power Platform, and Visual Studio, while also administering the ServiceNow ITSM and Knowledge Management platforms and supporting general ticket management workflows. Key Responsibilities Develop and maintain reports using SSRS, Power BI, and Visual Studio. Build automation and reporting solutions using Power Platform tools (Power BI, Power Automate, Power Apps). Serve as System Administrator for ServiceNow ITSM and Knowledge Management platforms. Design and maintain department dashboards, Balanced Scorecard (BSC) reports, and performance metrics for leadership. Track and report on Service Level Objectives (SLOs) and Key Performance Indicators (KPIs) for internal teams and vendor performance. Recommend strategies for Service Level Management (SLM) improvements and identify opportunities for operational efficiency. Manage the report lifecycle: plan, implement, maintain, review, and retire reports. Support ticket management processes by monitoring, analyzing, and reporting on service request and incident trends. Respond to user inquiries and provide support for reporting and system administration issues. Participate in project meetings to gather reporting requirements and provide input on system capabilities and timelines. Support data conversion, customer satisfaction surveys, and expansion of ITSM tools to other business units. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience. Minimum 3 years of experience in an Operations or Service Desk environment with a focus on metrics, reporting, and ticket management. Proficiency in SSRS, Power BI, Power Automate, Power Apps, and Visual Studio. Hands-on experience with ServiceNow or similar ITSM platforms. Proficient in Microsoft Office 365 suite (Excel, PowerPoint, Outlook, Teams). Excellent communication, analytical, and problem-solving skills. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Raviteja Yarram Email: ********************************* Internal I'd: 25-54215

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 *********************

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.

Cullerton Group has a new opportunity for a Data Scientist 2. The work will be done onsite full-time, with flexibility for candidates located in Illinois (Mossville) or Texas (Dallas) depending on business needs. This is a long-term 12-month position that can lead to permanent employment with our client. Compensation is up to $58.72/hr + full benefits (vision, dental, health insurance, 401k, and holiday pay). Job Summary Cullerton Group is seeking a motivated and analytical Data Scientist to support strategic sourcing and cost management initiatives through advanced data analytics and reporting. This role focuses on developing insights from complex datasets to guide decision-making, improve cost visibility, and support category strategy execution. The ideal candidate will collaborate with cross-functional teams, apply statistical and analytical methods, and contribute independently to analytics-driven projects that deliver measurable business value. Key ResponsibilitiesDevelop and maintain scorecards, dashboards, and reports by consolidating data from multiple enterprise sources Perform data collection, validation, and analysis to support strategic sourcing and cost savings initiatives Apply statistical analysis and modeling techniques to identify trends, risks, and optimization opportunities Support monthly and recurring reporting processes, including cost tracking and performance metrics Collaborate with category teams, strategy leaders, and peers to translate analytics into actionable insights Required QualificationsBachelor's degree in a quantitative field such as Data Science, Statistics, Engineering, Computer Science, Economics, Mathematics, or similar (or Master's degree in lieu of experience) 3-5 years of professional experience performing quantitative analysis (internships accepted) Proficiency with analytics and data visualization tools, including Power BI Strong problem-solving skills with the ability to communicate insights clearly to technical and non-technical audiences Preferred QualificationsExperience with advanced statistical methods (regression, hypothesis testing, ANOVA, statistical process control) Practical exposure to machine learning techniques such as clustering, logistic regression, random forests, or similar models Experience with cloud platforms (AWS, Azure, or Google Cloud) Familiarity with procurement, sourcing, cost management, or manufacturing-related analytics Strong initiative, collaboration skills, and commitment to continuous learning in analytics Why This Role? This position offers the opportunity to work on high-impact analytics projects that directly support sourcing strategy, cost optimization, and operational decision-making. You will collaborate with diverse teams, gain exposure to large-scale enterprise data, and contribute to meaningful initiatives that drive measurable business outcomes. Cullerton Group provides a professional consulting environment with growth potential, strong client partnerships, and long-term career opportunities.

Role: Applied Data Scientist/ Data Science Engineer Yrs. of experience: 8+ Yrs. Job type : Fulltime Job Responsibilities: You will be part of a team that innovates and collaborates with internal stakeholders to deliver world-class solutions with a customer first mentality. This group is passionate about the data science field and is motivated to find opportunity in, and develop solutions for, evolving challenges. You will: Solve business and customer issues utilizing AI/ML - Mandatory Build prototypes and scalable AI/ML solutions that will be integrated into software products Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Essential Requirements: Strong coding skills in Python and SQL - Mandatory Machine Learning knowledge (Deep learning, Information Retrieval (RAG), GenAI , Classification, Forecasting, Regression, etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders Ability to lead a team of data scientists is a plus Experience with Big Data technologies and/or software development is a plus

Job Title: Healthcare Professional Please make sure you read the following details carefully before making any applications. About the Role: We are seeking a highly skilled and compassionate healthcare professional to join our team. Responsibilities: Bachelor's degree in Nursing or Associate's degree with experience preferred Registered Nurse (RN) licensure required, with Authorization to Practice in Texas Certifications: Basic Life Support (BLS), Advanced Cardiac Life Support (ACLS), NIH Stroke Scale (NIHSS) The ideal candidate has ≥2 years of nursing experience, preferably in a similar setting. xevrcyc Requirements: Bachelor's degree in Nursing or Associate's degree with experience preferred Registered Nurse (RN) licensure required, with Authorization to Practice in Texas Certifications: Basic Life Support (BLS), Advanced Cardiac Life Support (ACLS), NIH Stroke Scale (NIHSS) Benefits: This role offers opportunities for career growth and development, as well as a competitive compensation package.

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. Here's the job details, Data Scientist with Gen Ai and Python experience Plano, TX- 5 days Onsite 18+ Months Job Overview: Competent Data Scientist, who is independent, results driven and is capable of taking business requirements and building out the technologies to generate statistically sound analysis and production grade ML models DS skills with GenAI and LLM Knowledge, Expertise in Python/Spark and their related libraries and frameworks. Experience in building training ML pipelines and efforts involved in ML Model deployment. Experience in other ML concepts - Real time distributed model inferencing pipeline, Champion/Challenger framework, A/B Testing, Model. Familiar with DS/ML Production implementation. Excellent problem-solving skills, with attention to detail, focus on quality and timely delivery of assigned tasks. Azure cloud and Databricks prior knowledge will be a big plus. 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.

W2 Contract Dallas, TX (Onsite) We are seeking an experienced Data Scientist to join our team in Dallas, Texas. The ideal candidate will have a strong foundation in machine learning, data modeling, and statistical analysis, with the ability to transform complex datasets into clear, actionable insights that drive business impact. Key Responsibilities Develop, implement, and optimize machine learning models to support business objectives. Perform exploratory data analysis, feature engineering, and predictive modeling. Translate analytical findings into meaningful recommendations for technical and non-technical stakeholders. Collaborate with cross-functional teams to identify data-driven opportunities and improve decision-making. Build scalable data pipelines and maintain robust analytical workflows. Communicate insights through reports, dashboards, and data visualizations. Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience working with machine learning algorithms and statistical modeling techniques. Proficiency in Python or R, along with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow. Strong SQL skills and familiarity with relational or NoSQL databases. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). Excellent problem-solving, communication, and collaboration skills.

KPI Partners is a 5 times Gartner-recognized data, analytics, and AI consulting company. We are leaders in data engineering on Azure, AWS, Google, Snowflake, and Databricks. Founded in 2006, KPI has over 400 consultants and has successfully delivered over 1,000 projects to our clients. We are looking for skilled data engineers who want to work with the best team in data engineering. Title: Senior Data Architect Location: Plano, TX (Hybrid) Job Type: Contract - 6 Months Key Skills: SQL, PySpark, Databricks, and Azure Cloud Key Note: Looking for a Data Architect who is Hands-on with SQL, PySpark, Databricks, and Azure Cloud. About the Role: We are seeking a highly skilled and experienced Senior Data Architect to join our dynamic team at KPI, working on challenging and multi-year data transformation projects. This is an excellent opportunity for a talented data engineer to play a key role in building innovative data solutions using Azure Native Services and related technologies. If you are passionate about working with large-scale data systems and enjoy solving complex engineering problems, this role is for you. Key Responsibilities: Data Engineering: Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies. Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions. Data Warehousing: Design and implement data warehousing solutions, ensuring scalability, performance, and reliability. Continuous Learning: Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform. Mentorship: Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development. Must-Have Skills & Qualifications: Minimum 12+ years of overall experience in IT Industry. 4+ years of experience in data engineering, with a strong background in building large-scale data solutions. 4+ years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions) Proven expertise in SQL for querying, manipulating, and analyzing large datasets. Strong knowledge of ETL processes and data warehousing fundamentals. Self-motivated and independent, with a “let's get this done” mindset and the ability to thrive in a fast-paced and dynamic environment. Good-to-Have Skills: Databricks Certification is a plus. Data Modeling, Azure Architect Certification.

Strong knowledge of statistical techniques and advanced mathematics. 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred). 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing. 4+ years of experience in manipulating big data using Python, PySpark, or SQL. Expert Experience with data visualization tools in Python, PowerBI, etc.

Hi All, *** Greetings from My3tech *** Role: Data Security Analyst 2 Duration: 6+ Months Minimum Qualifications Years Skills / Experience 3 Experience in a GRC, cybersecurity, or compliance role 3 Hands-on experience with GRC platforms (Diligent preferred) Strong understanding of NIST CSF 2.0, HIPAA, and state-level frameworks (Texas Cybersecurity Framework) Experience designing workflows and notifications within GRC tools Excellent communication and stakeholder engagement skills Preferred Qualifications Years Skills / Experience Familiarity with risk management methodologies Certifications such as CISA, CRISC, CISSP, or CGRC

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.

Join a Global Leader in Workforce Solutions - Net2Source Inc. Who We Are Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision-Right Talent. Right Time. Right Place. Right Price. Job Title: Digital Analytics Implementation Analyst Location: Fort Worth, TX (HYBRID) Duration: 6 months Pay Range: $55 - $60/hr Job Description: This job is a member of the Digital Analytics Implementation Team within the Customer Intelligence Division. This role is responsible for managing the implementation and maintenance of the digital analytics tools (e.g., Adobe Analytics, Tag management System (Tealium)). Digital Analytics Implementation Analyst will strive to differentiate American as an industry leader in the digital customer experience. Successful candidates will be comfortable setting clear goals and direction, driving strategies, producing thoughtful analysis, delving into technical topics, and presenting to a wide range of executive stakeholders - to deliver the best digital customer experience. What you'll do • Manage the implementation and maintenance of analytics tools (e.g., Adobe Analytics, Tag Management System (Tealium)) • Experience in Data Layer Implementation and knowledge of tag manager tools such as Tealium or similar. • Strong expertise in data collection mapping for Adobe Analytics (both web and native app), data feeds, and performing issue analysis. • Experience in data validation, identifying tagging and data collection issues, and ensuring data accuracy. • Proven ability to collaborate with cross-functional teams, including Product Owners, technology teams, and Vendors, to define analytics requirements and implement tracking solutions. • Collaborate with our technology teams to add, update, and verify implementation of analytics tracking on mobile app. • Conduct quality assurance checks and data validation, identify data collection issues, implement marketing pixels, and perform duties of Adobe Analytics administrator, including SAINT classifications, managing shared dashboards. • Collaborate with Digital Customer Experience Product Owners and our technology teams to define and implement requirements for reporting on relevant Key Performance Indicators (KPIs) that drive strategic decision-making and customer experience improvements. • Maintains detailed documentation of analytics tools and measurement strategies. • Identify opportunities for improving customer experience that increase conversion or drive revenue improvement; use data to communicate recommendations to stakeholders. • Establish best practices for data collection and data quality on the online channels, configuring web analytics technology, and interpreting data. • Work with stakeholders to understand business goals needs and develop viable solutions tracking requirements. • Work with vendors and internal teams to develop reporting strategies and ensure data is being collected properly and accurately. • Collaborate with design, QA, development and analytics resources for implementation and analysis of testing and personalization campaigns. All you'll need for success. Minimum Qualifications- Education & Prior Job Experience • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related field • 2-3 years of experience with Adobe products, or similar analytics tools, preferably in implementation capacity. • Experience with SQL and JavaScript is a plus. • Experience managing analytic and/or development projects. Preferred Qualifications- Education & Prior Job Experience • MS in Statistics, Applied Math, Computer Science, Economics, Engineering, or related field. • Experience with analytics tools including Adobe Analytics/Tealium/Celebrus • Experience with iOS and Android SDK's • Proficient knowledge of JavaScript, jQuery, and JSON. • Experience with Agile development and associated ceremonies. • Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision. • Outstanding analytical thinking and problem-solving abilities. • Excellent interpersonal and communication skills, with the ability to tailor your approach to different audiences. • The ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way. Why Work With Us? We believe in more than just jobs-we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter. Our Commitment to Inclusion & Equity Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics. Awards & Recognition • America's Most Honored Businesses (Top 10%) • Fastest-Growing Staffing Firm by Staffing Industry Analysts • INC 5000 List for Eight Consecutive Years • Top 100 by Dallas Business Journal • Spirit of Alliance Award by Agile1 Ready to Level Up Your Career? Click Apply Now and let's make it happen.

About the Role We are seeking a highly skilled Databricks Data Engineer with strong expertise in modern data engineering, Azure cloud technologies, and Lakehouse architectures. This role is ideal for someone who thrives in dynamic environments, enjoys solving complex data challenges, and can lead end-to-end delivery of scalable data solutions. What We're Looking For 8+ years designing and delivering scalable data pipelines in modern data platforms Deep experience in data engineering, data warehousing, and enterprise-grade solution delivery Ability to lead cross-functional initiatives in matrixed teams Advanced skills in SQL, Python, and ETL/ELT development, including performance tuning Hands-on experience with Azure, Snowflake, and Databricks, including system integrations Key Responsibilities Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform Modernize and enhance cloud-based data ecosystems on Azure, contributing to architecture, modeling, security, and CI/CD Use Apache Airflow and similar tools for workflow automation and orchestration Work with financial or regulated datasets while ensuring strong compliance and governance Drive best practices in data quality, lineage, cataloging, and metadata management Primary Technical Skills Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks Notebooks Design efficient Delta Lake models for reliability and performance Implement and manage Unity Catalog for governance, RBAC, lineage, and secure data sharing Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems Automate ingestion and workflows using Python and REST APIs Support downstream analytics for BI, data science, and application workloads Write optimized SQL/T-SQL queries, stored procedures, and curated datasets Automate DevOps workflows, testing pipelines, and workspace configurations Additional Skills Azure: Data Factory, Data Lake, Key Vault, Logic Apps, Functions CI/CD: Azure DevOps Orchestration: Apache Airflow (plus) Streaming: Delta Live Tables MDM: Profisee (nice-to-have) Databases: SQL Server, Cosmos DB Soft Skills Strong analytical and problem-solving mindset Excellent communication and cross-team collaboration Detail-oriented with a high sense of ownership and accountability

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