Senior data analyst- jobs in Corpus Christi, TX

Project Scope: The client is requesting a contingent worker to fill the role of Senior Data Quality Analyst, who will serve as the Data Steward for the PBDI Project. This role is critical to ensure the Data Quality needed for the success of this project. Roles/Responsibilities: The analyst will be responsible for defining and implementing data quality rules, identifying and resolving data issues, and ensuring alignment with governance standards. Additionally, they will design and develop dashboards to monitor data quality, enabling ongoing visibility into the data health and readiness. Mandatory Skills: Experience in building data domains from scratch, including the design and implementation of data quality rules tailored to a specific business area. Excellent communication and collaboration skills, especially in cross-functional settings.

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

Key Responsibilities Configure, customize, and support Kinaxis RapidResponse modules (Demand Planning, Supply Planning, Inventory, S&OP). Develop and maintain RapidResponse worksheets, dashboards, and analytic reports. Support data integration with Amazon's internal systems (ERP, transportation, FC systems, vendor tools). Work directly with planners, supply chain managers, and operations teams to understand business requirements. Troubleshoot RapidResponse issues and provide production support. Execute what-if simulations and scenario modeling for supply chain operations. Maintain documentation on configurations, rules, KPIs, and business processes. Basic Qualifications 3-6 years of experience in Supply Chain Planning or related roles. Hands-on experience with Kinaxis RapidResponse (configuration, authoring, analytics). Understanding of supply chain processes (demand planning, supply planning, MRP, S&OP). Strong SQL or data-analysis skills. Experience integrating Kinaxis with ERP systems (SAP/Oracle/etc.). Excellent communication and stakeholder-management skills.

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.

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

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

Job Title: Marketing & Merchandise Analyst - C-Shopper **This position is a 9 month contract opportunity that cannot support C2C or any form of sponsorship** The Marketing & Merchandise Analyst will work across various C-Shopper development initiatives, partnering with the C-Shopper team, internal data teams, and Circana/IRI personnel. This role focuses on driving adoption and impact of the C-Shopper Customer Insights platform among internal and external users, delivering actionable insights to improve decision-making and business performance. Key Responsibilities: Platform Development & Adoption Assist in C-Shopper platform enhancements to maximize value for internal and external stakeholders. Act as a subject matter expert (SME) and Customer Success resource for the C-Shopper team. Drive internal adoption of Customer Insights tools across Marketing, Merchandising, Loyalty, Operations, and Finance teams. User Engagement & Training Coordinate and conduct onsite and virtual meetings with internal teams. Deliver training sessions and provide Help Desk support for assigned user groups. Initiate ongoing interactions with user groups to share insights and best practices. Analytics & Insights Delivery Produce analytics projects and presentations to support internal and external business needs. Provide guidance and case studies demonstrating high-value insights for user groups. Partner with user teams to act as the voice of the customer, influencing customer-centric strategies. Customer Success & Support Manage onboarding and ongoing support strategies for internal users. Support external supplier projects with ad hoc analytics and presentations. Define and track metrics for program impact, customer satisfaction, and platform usage. Continuous Improvement Anticipate and remove barriers to project success. Conduct evaluations and gather feedback from user groups to improve adoption. Monitor market and customer trends to enhance user experience and operational excellence. Qualifications: Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to manage multiple projects and collaborate across teams. Familiarity with customer insights platforms and retail analytics preferred.

Job Title: Senior Data Analyst - Analytics & Reporting We're seeking an experienced Senior Data Analyst to support analytics, reporting, and data strategy initiatives for a leading enterprise client. Duration: 6+ months (possibility of extension) Visa: USC & GC Only Tax Term: W2 Only Job Summary Join a high-impact data organization where you'll drive analytical insights, enable data-driven decision-making, and shape future-state data strategy. In this role, you'll translate business needs into technical solutions, build sophisticated data pipelines, and deliver dashboards that influence executive and operational decisions. Must-Have Skills 8-12 years of experience in data analytics, business analysis, or data management Advanced SQL expertise across large and complex datasets Strong Python skills for analysis, transformation & feature engineering (Pandas, NumPy) Hands-on experience with Tableau dashboards and storytelling Deep understanding of data architecture, governance, data lineage, and MDM Proven ability to identify data use cases & convert insights into recommendations Experience with Snowflake, Databricks, or Hadoop/Spark ecosystems Exposure to Collibra, Alation, or similar data catalog/governance tools Familiarity with reference data (e.g., D&B hierarchy, enrichment) Strong communication skills & stakeholder engagement experience Key Responsibilities Analyze enterprise datasets to uncover trends, correlations, and actionable insights Identify and define new data use cases aligned with business strategy Translate business requirements into technical specifications and analytical deliverables Conduct impact assessments comparing current vs. future-state data architecture Perform data profiling, quality checks, and identify source gaps Design & validate data pipelines, transformations, lineage, and documentation Execute feature engineering for analytics and modeling initiatives Build, maintain & optimize Tableau dashboards for stakeholder reporting Maintain business glossaries, data dictionaries, and metadata governance artifacts Participate in testing & validation of new or transformed datasets Collaborate cross-functionally with data engineers, product managers, and SMEs Environment & Tooling SQL: PostgreSQL, Snowflake, Redshift Python: Pandas, NumPy, feature engineering workflows Visualization: Tableau Version Control: Git / Bitbucket Project Tools: JIRA, Confluence 📩 Interested? Apply now or DM us to explore this opportunity! You can share profiles at ******************** OR Call us on *****************

This role is not open for subcontracting. Open to W2 /Individual C2C or 1099 candidates only. We are willing to transfer H1B's and take care of their immigration, including GC sponsorships. About the Role You will be responsible for analyzing data that we feed into our machine learning models and analyzing data from production to gather critical and intuitive insights to improve our models and algorithms. You will also be visualizing these insights and help communicate results to the business effectively. Analysts have solid technical background but enjoy learning new languages, technologies, and frameworks. Data Analysts use Databricks as their primary tool to derive valuable insights and provide them back to the business. Responsibilities Research, prototype, and build analysis and visualizations for our Machine Learning pipeline. Stay up to date with emerging technology and learn new technologies/libraries/frameworks. Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design. Deliver on time with a high bar on quality of research, innovation and engineering. Qualifications Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience. Required Skills 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. Preferred Skills Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience working with Machine Learning models - evaluation, observability, and performance monitoring. Experience working closely with a business team to determine primary KPIs on an ambiguous problem. Pay range and compensation package On-site job, must be local to Texas only. This role is not open for subcontracting. Open to W2 /Individual C2C or 1099 candidates only. Equal Opportunity Statement We are committed to diversity and inclusivity.

********* NO THIRD PARTIES PLEASE******** This is a contract to hire position for a very stable organization. Great teammates and a great opportunity for growth and a long career. I-10 West Houston area location for the company. ****The position is REMOTE; however, I am seeking a local Houston candidate as there will be periodic times to come into the office for team meetings. Texas area candidates that are willing to relocate to Houston or at the very least commit to coming to periodic on-site team meetings. Summary: Seeking a Data Modeler that will be responsible for cleaning up to optimize workflows. This position will require strong hands-on Data Modeler experience. MUST have strong Microsoft Fabric experience, which is a key component for this particular role. Requirements: - 7+ years of Data Modeling experience - 3+ years in data modeling or analytics engineering with strong SQL. - Must have 2-3 years plus of hands-on Microsoft Fabric experience. - Lakehouse/Warehouse, One Lake, Delta tables, Dataflows Gen2 or Pipelines; familiarity with SQL endpoint usage. - Star schemas; fact types (transactional, periodic snapshot, accumulating); bridge tables for M: N; degenerate and junk dimensions. - SCD Type 1/2 with MERGE; effective/expiry dating; handling late-arriving data. - Power BI semantic modeling and DAX - Clean tabular model design; CALCULATE/KEEPFILTERS/USERELATIONSHIP; date intelligence; semi-additive measures; model properties (data types, sort-by, formatting). - Incremental refresh; basic aggregations; RLS. - Define tests (unique/not-null/accepted values), document metrics, manage endorsements; apply sensitivity labels for PII/regulated data. Translate stakeholder requirements into grain/facts/dimensions and certified measures; collaborate across DE, BI, and business teams.

Plano TX- Nearby candidates only W2 Candidates Must Have: 5+ years of experience with data modeling, warehousing, analysis & data profiling experience and ability to identify trends and anomalies in the data Experience on AWS technologies like S3, AWS Glue, EMR, and IAM roles/permissions Experience with one or more query language (e.g., SQL, PL/SQL, DDL, SparkSQL, Scala) Experience working with relational database such as Teradata and handling both structured and unstructured datasets Data Modeling tools (Any of - Erwin, Power Designer, ER Studio) Preferred / Ideal to have - Proficiency in Python Experience with NoSQL, non-relational databases / data stores (e.g., object storage, document or key-value stores, graph databases, column-family databases) Experience with Snowflake and Databricks

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.

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit ******************** Job Title: Data Architect Work Location Dallas, Texas Job Description: The ideal candidate will have a good understanding of big data technologies data engineering and cloud computing DWH Projects with a focus on Azure Databricks Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with reasonable timeline Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards Ensure best practices are followed by team in terms of code quality data security and scalability Stay updated with the latest developments in Databricks and associated technologies to drive innovation 12 years of experience along with 5 years of data Analytics project experience Experience with Azure Databricks notebook development and Delta Lake Good understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Fabric Experience with ETLELT processes data warehousing and building data lakes SQL skills and familiarity with NoSQL databases Experience with CICD pipelines and version control systems like Git Soft Skills Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders Strong problem-solving skills and a proactive approach to identifying and resolving issues Leadership skills with the ability to manage and mentor a team of data engineers Power BI for dashboarding and reporting Microsoft Fabric for analytics and integration tasks Spark Streaming for processing real time data streams Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using Databricks Synapse notebooks and Azure Data Factory Good understanding on different domain industries with respect to data Analytics project DWH projects Should be good in Excel and Power Point Good understanding and experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2 Experience in building and optimizing query layers using Databricks SQL Familiarity with modern CICD practices especially in the context of Databricks and cloud native solutions Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Senior Healthcare Business Intelligence Analyst Company: Leap Metrics We are accepting applications for the Senior Healthcare Business Intelligence Analyst position to work on a product that helps improve the health of our population. Do you enjoy working with leading-edge technologies? Be part of a fast-moving, fast-growing, innovative technology team. Directly improve the daily lives of tens of thousands of our neighbors? If so, please contact us! Who We Are Leap Metrics is headquartered in Richardson, TX. We are a healthcare analytics and care management software company founded to improve health outcomes, lower the cost of care, and improve regulatory compliance. Our software platform is called Sevida, which stands for “In the service of human lives”. We are on a mission to leverage technology to serve populations with chronic healthcare needs. We are a company of experienced technologists; a passionate, dedicated group of developers, designers, client advocates, and entrepreneurs. Our team has some of the best enterprise software minds in the technology industry. To learn more about us, please visit our website at ********************* Why Work for Leap Metrics? MEANINGFUL MISSION - Empowering health providers to focus on care FULFILLMENT - Make an impact by building a meaningful product LEADING EDGE TECHNOLOGY - Advance your technical skills by working with the latest and most innovative technology. COMPANY CULTURE: - team-oriented, collaborative, supportive, innovative We are accepting applications for a Senior Healthcare Business Intelligence Analyst position to manage the processes of a product that helps improve healthcare. Do you enjoy working with leading-edge technologies? Do you want to join a fast-moving, fast-growing, innovative technology team? Do you have a passion for products that directly and positively impact human lives? What You Will Do: Conduct in-depth analysis of BI requirements for our healthcare product. Tackle complex business problems by converting raw data into meaningful and actionable business insights. Design and implement data models to support business intelligence. Design, develop, and maintain scalable and efficient BI solutions that enable customers and internal stakeholders to make informed decisions. Collaborate with cross-functional teams, including customers, business analysts, data scientists, and engineers. Work closely with the engineering team to integrate data from various sources and ensure data quality and consistency. Apply advanced SQL skills to build data models that power BI Dashboards Utilize Sigma BI Tool to create dashboards, reports, and data visualizations that provide healthcare insights into population health and care management. Ability to assist in analytics projects across departments as needed. Requirements: Bachelor's degree in Computer Science, Information Technology, a related field, or equivalent qualification. Proven Healthcare Experience 5 Years of experience as a BI Developer or similar role. Strong experience with Data Modeling and advanced SQL. Proven experience with BI tools such as Sigma BI, Power BI, and Tableau. Expertise in creating aesthetically pleasing Dashboards. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Knowledge of modern data warehousing concepts and best practices. Demonstrated experience and proficiency with: Strong analytical and problem-solving skills. Proficient with advanced Excel skills Ability to work independently but function as part of a team Strong organizational and time management skills Detail-oriented and Accountable Excellent verbal and written communication skills, with the ability to interact effectively with all levels in and out of the organization. Nice to Have Skills / Experience: Healthcare industry experience Experience with Sigma BI Python programming language experience Experience with ETL tools Additional certifications in related BI tools or data technologies. Deep understanding of data warehousing concepts, including experience with tools like Snowflake, Redshift, or BigQuery and familiarity with dbt, airflow, or other similar data platforms. Location: US only - Dallas/Ft. Worth Metroplex Benefits: Competitive salary (commensurate with experience) Comprehensive benefits package. Paid time off

Job purpose To manage, implement and control new and existing system integrations for SeAH SST. To draw up and maintain clear documentation, detailing all integrations to aid setup and support. Client liaison through the implementation process to assist with change requests and thorough testing. To provide support to all users on integration related queries and issues. Core competencies, knowledge and experience Solid experience and expertise across data integration and data management Technical delivery of analytics solutions with high data volumes in a manufacturing environment Experience delivering complex integrations and managing a variety of stakeholders across a distributed organization. Integration of end-to-end solutions into complex IT landscapes Experience working with Business Intelligence systems, providing global platform management and analytical insights through specifications and tailored reports Aid in implementation and testing of new systems including WMS, MES, ERP, CMMS, LIMS, SCADA, ETC. Must have Technical qualification / Experience Experience developing and working with frameworks, RESTFUL APIs, and web services that enable maintainable application Experience developing and supporting Structured Query Language (SQL). Solid understanding of support process and infrastructure Experience with various architectures and methodologies Project management experience Experience managing an online library of technical documentation, standardizing the internal business data concepts used globally for both end users and developers Understanding of FTP protocol and EDI, creating and managing the client-server connection architecture Ability to methodically run black box tests on the integration system. Ability to prioritize and plan effectively, in own work and of any supervising team Proven ability to effectively coordinate and work across functional teams - both internally and with partners, both in-person and virtually Work well under pressure, thrive in fast-paces environment, and stay flexible through growth and change An understanding of manufacturing business and process preferred. Equally, any experience IT security, Data Warehousing or Power BI an advantage

Our client is looking for a Senior Analyst for Oracle eBusiness Systems (R12.2.10) who can work independently and provide strong technical support for customizations and extensions-particularly within Finance or Oracle Projects modules. In this role, you'll support business users, participate in change management activities, and help ensure smooth service delivery and high customer satisfaction. You'll work closely with core business users and be an active member of a large Oracle support team. Job Description Provide technical development and support for customized business applications. Work with customers to understand system needs and translate business and technical requirements into clear specification documents. Complete all necessary Change Management tasks and SOX control requirements (when applicable). Apply industry-standard project management principles, tools, and best practices throughout the project lifecycle. Continuously build business and technical knowledge through available resources such as online materials, books, courses, and conferences. Track project deliverables and provide timely updates and reports to management. Skills Required Minimum of 5 years working with Oracle eBusiness Modules, including hands-on experience with Oracle Projects (Project Accounting, Project Billing, and Project Cost Management) and their integrations with modules such as Inventory, Asset Management, Oracle Time and Labor, Fixed Assets, and Accounts Payable. 5+ years of experience in SQL, PL/SQL, BI Publisher, and Oracle Workflow Builder. Strong understanding of backend table structures for Oracle and eBusiness modules. Experience with Oracle Database 19C or higher. 3+ years of programming experience with Oracle Apex (preferred). Experience with personalizations and extensions in Oracle Applications Framework (preferred). Prior experience working in a multi-developer team environment. Experience remediating and validating EBS extensions and customizations for Finance or Projects. Ability to collaborate with Oracle Support to identify and implement workable solutions. Experience working with IT and business teams on EBS upgrades-specifically from R12.2.10 to R12.2.15. Education / Training / Certifications Bachelor's degree in a related field from a 4-year accredited university, or at least 10 years of relevant industry or technical experience. Additional Requirements Willing to travel up to 10%. We are an equal opportunity employer and do not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law. JOB-10045485

Job Title: Warehouse Management System Analyst Schedule: 8-5 CST This role supports and maintains Memorial Hermann's Infor WMS environment, executing daily operational support, patching, SQL troubleshooting, workflow enhancements, and vendor coordination. The Analyst ensures smooth warehouse operations while supporting related robotic and replenishment systems. Job Responsibilities: • Support and maintain Infor WMS, ensuring daily operational stability • Troubleshoot system issues using SQL queries and log analysis • Install patches and coordinate updates • Support warehouse workflows and system integrations • Work with vendors and technical teams to resolve tickets • Support related systems (6 Rivers, BlueBin, Picking tools) • Document workflows, issues, and enhancements • Provide onsite technical support to warehouse operations teams Qualifications: • Bachelor's degree preferred (or equivalent experience) • Infor WMS experience required • SQL experience required • Strong understanding of warehouse operations and workflows • Experience with warehouse automation tools preferred • Ability to work onsite daily

We are currently seeking a Senior Analyst for Oracle eBusiness Systems, release R12.2.10. This person will work effectively under minimal supervision and provide Technical support for developing and supporting customizations and extensions covering modules in Finance or Oracle Projects. This position will support our business users, participate in all relevant changes management activities, and overall service delivery and customer satisfaction. This will require interaction with core business users and the need to work as a team member of a large Oracle support team. Responsibilities include, but are not limited to: Provides technical development and support for Oracle eBusiness Systems Modules. Collaborates with customers to ascertain system specifications and business/technical requirements to create spec documents that meet their needs. Responsible for completion of all required Change Management tasks and relevant SOX control requirements (if applicable). Utilize industry accepted project management principles, methodologies, tools, and best practices throughout the project life cycle. Acquire and utilizes business knowledge by taking advantage of available resources (internet, books, periodicals, classes/workshops, conferences, etc.) to develop and deliver business expertise solutions. Tracking deliverable and provide reporting to management as needed. Willing to travel up to10%. The successful candidate will have the following qualifications: Bachelor of Science degree from a 4-year accredited university, or 10 years of related industry or technical experience is required. At least 5 years of experience working with Oracle eBusiness Modules. Must have experience with Oracle Projects (Project Accounting, Project Billing and Project Cost Management) and its integrations within EBS - Inventory, Enterprise Asset Management, Oracle Time and Labor, Fixed Assets and Accounts Payable modules. 5+ years of experience with SQL, PL/SQL & BI Publisher reporting and Oracle Workflow Builder. 5+ years of experience with the backend table structures for Oracle and eBusiness system module is required. Experience in Oracle Database 19C, or a higher version, is required. 3+ years of programming experience in Oracle Apex is desirable. Experience on personalizations and extensions in Oracle Applications Framework is preferred. Experience working in a multi-developer, team environment is preferred. Top daily priorities/responsibilities: Remediating and validating EBS application extensions and customizations in the areas of Finance or Projects. Working with Oracle Support to find a solution that is feasible and acceptable to implement. Collaborating with IT Teams and business department personnel to complete EBS upgrade from Release 12.2.10 to 12.2.15 Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** 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.

Greetings from Photon!! Who are we? Photon has emerged as one of the world's largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. For a brief 1 minute video about us, you can check ***************************** We are seeking a Senior IT System Analyst with advanced Product analyst experience to play a critical role in building and enhancing a complex Investment Platform. This position is ideal for a client-focused, strategic thinker with deep analytical skills who thrives at the intersection of business operations, data, and product innovation. Your role will blend leadership and planning expertise with a passion for delivering results. This role requires a self-starter who can champion collaboration and cultivate close partnerships with business stakeholders and development teams to help craft and implement solutions across both client (front-end) and server-side (back-end) technologies. Key Expertise and Experience 10+ years of Systems Analysis experience. Demonstrated expertise in interviewing and extracting high-quality business requirements from stakeholders using the Agile/Scrum methodology. Ownership and execution of requirements analysis sessions to elicit business needs and translate them into clear, relevant system requirements. Anticipating, discovering through ongoing interaction with, and prioritizing client/partner needs to serve as their voice and guide Engineering Leaders and Technology teams. Excellent analytical, reporting, and problem-solving skills, including strong judgment, issue management, and root cause analysis techniques. Excellent interpersonal, relationship management, and facilitation skills. Demonstrated ability to effectively balance ** multiple tasks and priorities** in a fast-paced environment. Excellent verbal and written communication skills with keen attention to detail. Experience with Alternative Investments, Digital Assets, Private Market, or Liquid Alternatives is preferred. Required Skills and Background Bachelor's degree with 10+ years of experience as a product analyst, business analyst, or similar role in a digital or operational transformation environment, focused on customer or internal-facing solutions. Strong understanding of operations workflows and processes, preferably within financial services or another regulated industry. Ability to translate technical requirements and operational processes into intuitive, actionable product requirements. Demonstrated experience in informing product strategy and delivery, including opportunity identification, solution design, and collaborating with technology teams for implementation. Proficient with collaboration and planning tools such as JIRA, Confluence, Miro, or other analytics and product management platforms. Proficient with Agile development methodologies and working with cross-functional product teams, engineering teams, and business stakeholders. Strong communicator with proven stakeholder management and storytelling skills; effectively conveys technical and business concepts verbally and in writing, using data and visualizations. A resourceful problem-solver who can identify issues, explore potential solutions, and define the next course of action. Ability to facilitate challenging conversations with business stakeholders through strong presentation skills, using data and analysis to influence decision-making outcomes. Experience with and understanding of SQL, relational databases, and data models, and fluency with API contracts is preferred.