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business intelligence analyst senior Jobs in Irving

business intelligence analyst senior

data engineer

data engineer - production support Jobs in Irving

data engineer - production support

data engineer iii/senior (ai and gen ai) Jobs in Irving

data engineer iii/senior (ai and gen ai)

data scientist

NTT DATA

<div>Company Overview: 
Req ID: 365619 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. 
We are currently seeking a Data Scientist / ML engineer with 4+ years of experience to join their team in Irving, TX. This person should be comfortable with the following:
<ul><li>Driving new data insights to uncover business opportunities &amp; revenue streams.</li>
<li>Have a firm understanding of statistics and data visualization for communication.</li>
<li>Has an understanding of business growth areas &amp; how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.</li>
<li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li>
<li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li>
<li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li>
</ul>Key Responsibilities: 
<ul><li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li><li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li><li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li><li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li><li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li><li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li><li>Piping and processing massive data-streams in distributed computing environments.</li><li>Implement batch and real-time model scoring.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Apply business knowledge to analyze data, develop reports and solve problems &middot;Perform ad hoc analyses of data depending on business needs.</li><li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li></ul>
 
Basic Qualifications:
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li>
<li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:
<ul><li>Predictive Analytics</li>
<li>Data Design</li>
<li>Statistics</li>
<li>AI/ML</li>
<li>ML Ops</li>
<li>3+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul></li></ul>Preferred Skills:
<ul><li>Master's degree preferred.</li>
<li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li>
<li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible &quot;can-do &quot; attitude, and a commitment to success.</li>
<li>Professional verbal and written communication.</li>
<li>Undergraduate or Graduate degree preferred</li>
<li>1+ year of Gen AI / LLM hands on development experience</li>
</ul>#LI-NorthAmerica 
About NTT DATA: 
 
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Data Scientist

<div>Company Overview: 
Req ID: 365619 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. 
We are currently seeking a Data Scientist / ML engineer with 4+ years of experience to join their team in Irving, TX. This person should be comfortable with the following: 
<ul><li>Driving new data insights to uncover business opportunities &amp; revenue streams.</li><li>Have a firm understanding of statistics and data visualization for communication.</li></ul>
- Has an understanding of business growth areas &amp; how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions. 
<ul><li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li><li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li><li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li></ul>
Key Responsibilities: 
<ul><li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li><li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li><li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li><li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li><li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li><li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li><li>Piping and processing massive data-streams in distributed computing environments.</li><li>Implement batch and real-time model scoring.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Apply business knowledge to analyze data, develop reports and solve problems &middot;Perform ad hoc analyses of data depending on business needs.</li><li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li></ul>
Basic Qualifications: 
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li><li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:</li></ul>
o Predictive Analytics 
o Data Design 
o Statistics 
o AI/ML 
o ML Ops 
<ul><li>3+ years of experience using Python and/or R to analyze disparate datasets.</li></ul>
Preferred Skills: 
<ul><li>Master's degree preferred.</li><li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li><li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible &quot;can-do &quot; attitude, and a commitment to success.</li><li>Professional verbal and written communication.</li><li>Undergraduate or Graduate degree preferred</li><li>1+ year of Gen AI / LLM hands on development experience</li></ul>
Minimum Skills Required: Basic Qualifications: 
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li><li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:</li></ul>
o Predictive Analytics 
o Data Design 
o Statistics 
o AI/ML 
o ML Ops 
<ul><li>3+ years of experience using Python and/or R to analyze disparate datasets.</li></ul>
 
About NTT DATA: 
 
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com 
 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Expeditors

<div>Company Description 
&ldquo;We&rsquo;re not in the shipping business; we&rsquo;re in the information business&rdquo; -Peter Rose, Expeditors Founder
Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.<ul><li>
15,000 trained professionals</li><li>
250+ locations worldwide</li><li>
Fortune 500</li><li>
Globally unified systems</li></ul> 

Job Description 
We are seeking a highly skilled and hands-on Data Engineer III or Senior Data Engineer to design, build, and operate enterprise-scale data pipelines, data products, and data platforms, with a strong emphasis on incorporating Generative AI capabilities into production systems.
This is first and foremost a data engineering role. The successful candidate will own the development of reliable, scalable, and observable data systems that power analytics, applications, and operational workflows, while also integrating LLM-based and AI-enabled features where they add clear business value.
This role sits within the engineering discipline and works closely with the architecture community. You will partner with data scientists, product teams, platform engineers, architects, and business stakeholders to ensure that AI capabilities are embedded within well-designed data systems, not built in isolation.
This position supports the Americas geography under the Global Technology organization and contributes to initiatives that enhance operations across 70+ offices in multiple countries. 
A successful Data Engineer III / Senior Data Engineer:<ul><li>
Builds and operates production-grade data pipelines, data platforms, and data products</li><li>
Incorporates AI and Generative AI capabilities into data systems in a pragmatic, maintainable way</li><li>
Designs systems that balance scalability, reliability, cost, security, and observability</li><li>
Raises the bar for engineering quality and operational excellence</li><li>
Acts as a technical leader and mentor, influencing design decisions and standards across teams</li></ul> 
Major Duties and Responsibilities
Data Engineering &amp; Data Platforms
<ul><li>Design and implement scalable data ingestion, transformation, and serving pipelines</li><li>
Build and operate data products and shared data services that support analytics and applications</li><li>
Ensure data quality, lineage, reliability, and observability across systems</li><li>
Manage dependencies and impacts across adjacent platforms and downstream consumers</li></ul>
AI &amp; Generative AI Enablement<ul><li>
Integrate Generative AI capabilities (LLMs, embeddings, RAG patterns, agentic workflows) into data pipelines, products, and services</li><li>
Design AI-enabled components that align with enterprise-scale data and platform architectures</li><li>
Ensure AI features meet governance, compliance, security, and observability requirements</li><li>
Partner with data scientists to productionize AI models and experiments within data platforms</li></ul>
Cloud-Native Azure Development<ul><li>
Design, deploy, and operate cloud-native data and AI systems on Azure</li><li>
Implement Infrastructure as Code (e.g., Bicep, Terraform) for secure, repeatable environments</li><li>
Build and maintain CI/CD pipelines supporting frequent, safe production releases</li><li>
Contribute to engineering standards for data and cloud platforms</li></ul>
Operational Excellence<ul><li>
Own or share responsibility for the operational health of data and AI systems</li><li>
Participate in on-call rotations and contribute to resilient, self-healing architectures</li><li>
Optimize systems for performance, reliability, and cost at scale</li><li>
Demonstrate strong incident response and operational decision-making</li></ul>
Technical Leadership &amp; Collaboration<ul><li>
Lead or significantly contribute to technical designs for data and AI-enabled systems</li><li>
Mentor engineers and reinforce data and engineering best practices</li><li>
Partner with architects, managers, and stakeholders to align systems with business goals</li><li>
Advocate for modern data engineering and AI platform patterns across teams</li></ul> 

Qualifications 
Minium Qualifications (Levelled at Offer)
Data Engineer III:<ul><li>
Bachelor&rsquo;s degree with 5+ years, or Master&rsquo;s with 3+ years, or equivalent experience</li></ul>
Senior Data Engineer:<ul><li>
Bachelor&rsquo;s degree with 10+ years, Master&rsquo;s with 5+ years, or PhD with 3+ years</li></ul>
For both levels:<ul><li>
Proven experience building and operating production-grade data pipelines and systems</li><li>
Experience incorporating AI or Generative AI capabilities into data-driven systems</li><li>
Experience with CI/CD, containerization, and modern DevOps practices</li><li>
Ability to design reliable, observable, and secure data platforms</li><li>
Strong proficiency in Python and SQL</li></ul> 
Desired Qualifications<ul><li>
Experience with Azure-native data and platform services</li><li>
Familiarity with LLMs, embeddings, RAG architectures, and AI orchestration frameworks</li><li>
Experience deploying systems with governance, security, and compliance requirements</li><li>
Background in platform engineering or internal data platforms</li><li>
Experience mentoring engineers or leading cross-team technical initiatives</li></ul> 

Additional Information 
The annual salary for this position is between $130,000 to $150,000.
The position is an in-office/onsite position that is based in one of these locations.<ul><li>
Atlanta GA<ul><li>
2764 Anvilblock Rd, Ellenwood, GA 30294, USA</li></ul></li><li>
Detroit MI<ul><li>
Romulus Ave, Romulus, MI 48174, USA</li></ul></li><li>
Edison NJ<ul><li>
150 Raritan Center Pkwy, Edison, NJ 08837, USA</li></ul></li><li>
Dallas TX<ul><li>
1101 Valley View Ln, Irving, TX 75061, USA</li></ul></li></ul>
Expeditors also offers 26 remote days per year that can be used as needed.
Position is full time (40 hours per week) Monday through Friday (in office). We are an office business attire company.
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.
Expeditors offers excellent benefits<ul><li>
Paid Vacation, Holiday, Sick Time</li><li>
Health Plan: Medical, Prescription Drug, Dental and Vision</li><li>
Life and Long Term Disability Insurance</li><li>
401(k) Retirement Savings Plan (US only)</li><li>
Employee Stock Purchase Plan</li><li>
Training and Personnel Development Program</li><li>
All your information will be kept confidential according to EEO guidelines.</li></ul>
For internal applicants, should you be interested in applying for this position, please discuss this opportunity with your supervisor.</div>

Data Engineer III/Senior (AI and Gen AI)

Photon

<div>Senior Engineer in Production Management (Big Data - Snowflake Focused)
The Senior Engineer in Production Management, specializing in Big Data with a focus on Snowflake, will be responsible for the design, development, and overall implementation of robust and scalable data solutions in a complex, critical, and large cross-departmental and multi-disciplinary area. This role is crucial for building robust pipelines, ensuring data quality, and driving performance improvements across our Big Data initiatives..
The role requires a comprehensive understanding of various facets of Big Data technologies and how they interact to achieve strategic data objectives. The candidate will apply in-depth understanding of the business impact of data-driven insights and be accountable for the delivery of a full range of end-to-end data engineering projects.
Responsibilities:
<ul><li>Demonstrates an in-depth understanding of the Software Development Lifecycle and its integration within the overall data technology landscape to deliver scalable, reliable, and performant Big Data solutions, particularly within Snowflake.
</li><li>Conduct in-depth data analysis, troubleshoot complex data issues, and ensure the accuracy, reliability, and integrity of data.
</li><li>Optimize Big Data workflows, including Snowflake query optimization, leveraging partitioning strategies and indexing techniques in distributed storage systems.
</li><li>Perform rigorous unit testing and validation of data pipelines and transformations.
</li><li>Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver robust data solutions.
</li></ul>Qualifications:
<ul><li>Relevant experience in a critical Big Data engineering role with high business impact, and a strong ability to understand how data solutions deliver business value.
</li><li>Excellent engineering skills with expertise in Snowflake data warehousing.
</li><li>Excellent working knowledge of key computer science concepts, especially as they apply to distributed systems, data structures, and algorithms for large-scale data processing.
</li><li>Excellent understanding of data engineering concepts like Data Modeling, Data Lakes, Data Warehouses, and Data Marts.
</li><li>Strong debugging and analytical skills: ability to isolate root causes across data pipelines, Snowflake, cloud infrastructure, and data processing layers.
</li><li>Operational experience of designing, deploying, and managing data pipelines and Snowflake solutions at scale, potentially leveraging cloud platforms (AWS) and related services.
</li><li>Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, dbt, etc.) is highly desirable for data platform automation.
</li><li>Degree in computer science/mathematics/physics or related technical subject is desirable.
</li><li>Excellent critical thinking and problem-solving skills with a strong analytical mindset.
</li><li>Ability to work independently and collaboratively in a fast-paced environment.
</li><li>Strong communication skills to articulate technical concepts and solutions effectively.
</li></ul>Role Skills Matrix:
<div><div><div><div>Skill 
</div><div>Rating* 
</div></div> 
<div><div>Snowflake (Or any other Big Data solution) 
</div><div>5 
</div></div> 
<div><div>Python (Data Engineering) 
</div><div>4 
</div></div> 
<div><div>Data Warehousing Concepts 
</div><div>4 
</div></div> 
<div><div>Data Modelling (Dimensional/Relational) 
</div><div>4 
</div></div> 
<div><div>Cloud Platforms (AWS) 
</div><div>4 
</div></div> 
<div><div>SQL 
</div><div>5 
</div></div> 
<div><div>High Availability Systems (Data) 
</div><div>4 
</div></div> 
</div></div><ul><li>Ratings are 1-5, with 1 being the lowest and 5 being the highest. To interpret the numbers, use the following scale:
</li></ul>1 = Junior contributor, understands key concepts and can operate with close supervision
2 = Proficient contributor, fully grasps the key concepts, but no production experience
3 = Independent contributor, understands technology well and has delivered production systems
4 = Senior Independent contributor, operates the technology on the cutting edge and can implement use cases with limited community support
5 = Lead industry contributor, operates the technology on the bleeding edge and can commit changes to the technology's roadmap 
Compensation, Benefits and Duration
Minimum Compensation: USD 36,000
 
Maximum Compensation: USD 126,000
 
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
 
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
 
This position is not available for independent contractors
 
No applications will be considered if received more than 120 days after the date of this post</div>

Data Science - Senior Engineer in Production Management (Big Data - Snowflake Focused) - Irving

Flowserve

<div>Role Summary:
Managing, maintaing, and optimizing our enterprise Metadata management platform. This role combines technical administration with subject matter expertise to ensure data governance, compliance, and accessibility across the organization. Will be a member of the Enterprise Data Strategy and Governance Program (EDSG) and support all metadata aspects in our various data and analytics initiatives. The EDSG Program is one of the enterprise priorities for 2026 onwards and the scope includes Data Warehouse setup and extraction, data cleansing and data source corrections, master data management, and analytics projects. 
 
Responsibilities:<ul><li>
Install, configure, and maintain the metadata management tool and related components.</li><li>
Monitor system performance, troubleshoot issues, and ensure high availability.</li><li>
Manage user access, roles, and security settings in compliance with organizational policies.</li><li>
Define and implement metadata standards, taxonomies, and data dictionaries.</li><li>
Collaborate with data stewards and business units to ensure metadata accuracy and completeness.</li><li>
Support data lineage, cataloging, and classification initiatives.</li><li>
Develop and maintain workflows for metadata ingestion and updates.</li><li>
Automate routine tasks and improve operational efficiency.</li><li>
Provide recommendations for tool enhancements and integration with other data platforms.</li><li>
Keep stakeholders informed periodically about the status of the tool, progress of initiatives and quality of data and metadata.</li><li>
Report any challenges and/or risks to the appropriate management channels and escalate issues, as necessary, according to the established process for escalation.</li><li>
Act as the subject matter expert for metadata management practices.</li><li>
Train business users and technical teams on tool functionality and best practices.</li><li>
Provide ongoing support and resolve user queries promptly.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s degree in Information Technology, Computer Science, Data Management, or related field and 5-7 years of work experience in metadata management, data analytics, and/or data engineering in fields such as Logistics, Supply Chain, Materials, Finance, IT, Data or Industrial Manufacturing environments where you attained:</li><li>
Excellent oral and written communication skills required (in English). Other languages are a plus.</li><li>
Proven experience in administering metadata management tools (e.g., Collibra, Informatica EDC, Denodo, Alation, etc.).</li><li>
If you are applying for Mexico, you need to be able to work in hybrid way 3 days on Quer&eacute;taro</li><li>
Strong understanding of data governance, data quality, and metadata standards.</li><li>
Proficiency in SQL and familiarity with APIs for integration.</li><li>
Excellent problem-solving skills and attention to detail.</li><li>
Willing to travel, when required, up to 15-20% domestic and/or international travel to any of the world-wide Flowserve sites.</li></ul>
Preferred:<ul><li>
Familiarity with ETL processes and data modeling concepts.</li><li>
Other language speaker.</li><li>
Affinity with ERP and other IT Systems (Oracle, SAP, BPC, PowerBI, MS Office).</li><li>
Smartsheet and/or other Project Management tools</li><li>
Strong organizational, time management, and presentation skills to effectively communicate with all levels in the organization and possess the ability to work in a cross-functional matrix environment.</li><li>
Work experience in the manufacturing industry will be an added advantage.</li><li>
Certification Like CDM Professional or tool specific certifications</li></ul></div>

Data Engineer

TEEMA

<div>Job Summary
Business Intelligence Analyst Senior
TeemaGroup
Full-time, Contract
In-Office | Irving, TX, United States 
Senior Business Intelligence Analyst
Onsite | Irving, TX
Why This Role Matters
As a Senior Business Intelligence Analyst, you will play a critical role in shaping how leaders understand and act on data across the organization.
This is a hands-on, senior-level position for someone who enjoys building clean, scalable data models, translating complexity into clarity, and partnering closely with both technical teams and business stakeholders.<h3 class="jobSectionHeader">
What You Will Do</h3>
Design &amp; Build Trusted Data Models<ul><li>
Design and implement high-performance data models using star and snowflake schemas</li><li>
Create well-structured relationships, hierarchies, and calculated measures</li><li>
Ensure models are scalable, maintainable, and aligned with enterprise standards</li></ul>
Develop Impactful Power BI Solutions<ul><li>
Build intuitive, interactive dashboards and reports that answer real business questions</li><li>
Use DAX and Power Query (M) for advanced calculations and transformations</li><li>
Implement row-level security (RLS) and support workspace governance</li></ul>
Own the Power BI Architecture<ul><li>
Work across Power BI service layers, gateways, and premium capacities</li><li>
Integrate Power BI with Azure Data Factory, SQL Server, and enterprise data sources</li><li>
Ensure compliance with data governance, security, and privacy standards</li></ul>
Optimize Performance at Scale<ul><li>
Monitor and improve report performance and dataset refresh strategies</li><li>
Apply best practices for incremental refresh, query folding, and large datasets</li></ul>
Collaborate and Lead<ul><li>
Partner closely with data engineers, analysts, and business leaders</li><li>
Provide guidance on Power BI adoption, workspace design, and governance frameworks</li><li>
Serve as a trusted advisor for BI best practices and standards</li></ul><h3 class="jobSectionHeader">
What We Are Looking For</h3>
Education<ul><li>
Bachelor&rsquo;s degree strongly preferred</li><li>
Candidates without a Bachelor&rsquo;s degree must have 4+ years of relevant clinical or technical application experience in lieu of a degree</li></ul>
Technical Expertise<ul><li>
Advanced experience with Power BI Desktop and Power BI Service</li><li>
Strong command of DAX, Power Query, and data modeling principles</li><li>
Experience with Power BI architecture, including gateways, deployment pipelines, and capacity planning</li></ul>
Data &amp; Analytics Background<ul><li>
Experience with ETL processes, SQL, and data warehousing concepts</li><li>
Solid understanding of data governance, security, and best practices</li></ul>
#Workwolf</div>

Business Intelligence Analyst Senior

CHRISTUS Health

<div>Description 
Summary:
The Information Technology Data Analyst Lead is responsible conducting full lifecycle analysis to include requirements, design, documentation, testing and validation to support the implementation of data and analytics solutions. Data Analyst must have expertise in methodology, design, specifications, programming, delivery, monitoring, and support standards leading to development of data and analytics solutions. SQL querying experience in a range of databases such as transactional, analytical, columnar and massively parallel processing is required. Experience in data mining using advanced SQL or Business Intelligence tools is required.
Responsibilities: 
<ul><li>Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders.
</li><li>The ability to work on multiple projects/tasks simultaneously to meet project deadlines for self and others as required.
</li><li>Functions as a database administrator for any of the following: Care Discovery, Care Discovery Quality Measures, Midas, and other databases as identified for the Quality Department. Monitors integrity of the interface daily, corrects problems as they are identified, writes reports as requested, and maintains knowledge of the system. Functions as a resource of the database functions for other hospital staff.
</li><li>Maintains system interfaces for supported applications to ensure the accuracy of data submission. Maintains and updates related database applications used for routine and ad-hoc internal and external reporting.
</li><li>Design, implement, and analyze databases for tracking and trending organizational quality metrics and infection prevention data for quality improvement across the organization.
</li><li>Enters data into databases for targeted populations and then uses this database to generate reports as needed.
</li><li>Communicates effectively across the organization as required to prepare analysis, interpret data, and evaluate statistical information for quality improvement.
</li><li>Collaborates with internal department management and staff as appropriate to develop new data collection processes as needed using various file formats and reports.
</li><li>Maintain the Texas Healthcare Information Collection (THCIC) database, providing error analysis, approval, and timely submission and certification of data sets.
</li><li>Serves as knowledge expert for Excel, PowerPoint, Access, and other software used for project management.
</li><li>Must have communication skills and the ability to develop and present solutions to all levels of management (including executive levels).
</li><li>Must have demonstrated the ability to solve complex problems.
</li><li>Must have demonstrated the ability to give direction to other technical resources in accomplishing shared objectives.
</li><li>Must have the ability to work on multiple projects/tasks simultaneously to meet project deadlines for self and others as required.
</li><li>Must have a solid understanding of the Business Intelligence and analytics landscape, preferably in large-scale development environments.</li></ul>
Job Requirements: 
Education/Skills
<ul><li>Bachelor&rsquo;s degree in Information Systems, Computer Science, Engineering, Math, or related field is required.
</li><li>Master&rsquo;s degree in Information Systems, Computer Science, Engineering, Math, or related field is preferred.
</li><li>An advanced level of SQL programming for data analysis is required.
</li><li>An advanced level of SQL programming for data consumption is required.
</li><li>Data analysis with large datasets on Big Data Databases (such as Hadoop/Hive/Impala) is required.
</li></ul>Experience
<ul><li>A minimum 12 years of experience in SQL programming in platforms with large data assets within an OLTP, OLAP, and MPP architecture.
</li><li>A minimum 12 years of experience with writing and debugging complex SQL queries.
</li><li>A minimum 12 years of IT experience in technical analysis or design and implementation.
</li><li>8 years of experience with large datasets on ODS or Datawarehouse systems (such as MS SQL Server, Postgres SQL, Hadoop/Hive/Impala).
</li><li>8 years of Healthcare IT experience preferred.
</li><li>Experience in integrating and cleansing data from source systems is preferred.
</li><li>Experience using BI Tools (i.e., Power BI, IBM Cognos, Tableau, Looker, MicroStrategy) is preferred.
</li></ul>Licenses, Registrations, or Certifications
<ul><li>Certifications in SQL, BI Tools, SAS, Hadoop, or Agile Scrum are a plus.</li></ul> 

Work Schedule: 
8AM - 5PM Monday-Friday
Work Type: 
Full Time</div>

Information Technology Data Analyst Lead - Health Outcomes

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72 data scientist jobs In Irving

Data Scientist

Data Scientist

Data Engineer III/Senior (AI and Gen AI)

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