ai, data & technology - ai-ml engineer director

business analyst

data analyst

senior data engineer

ai, data & technology - ai-ml engineer director Jobs in Houston

business analyst - azure data & bi Jobs in Houston

business analyst - azure data & bi

data scientist

Veriforce

<div>
 
 Department:
 
 Finance
 
 
 
 Employment Type:
 
 Permanent
 
 
 
 Location:
 
 Houston
 
 
 
 Compensation:
 
 $100,000 - $120,000 / year
 
 
 
 Description
 
 
 
 At Veriforce, we help companies in high-risk industries keep their people, worksites, and supply chains safe and compliant. As a global leader in contractor and supply chain risk management, our SaaS platform simplifies contractor onboarding, credentialing, and compliance while providing powerful analytics and insights. Beyond software, we offer expert support, training, and consulting so our clients can operate with confidence. Together, we&rsquo;re making workplaces safer every day.
 
 
 As our business scales and our product portfolio becomes more sophisticated, we are looking for a detail-obsessed Data Analyst to ensure our internal data is complete, accurate, and trustworthy. This is a great opportunity for someone with a sharp analytical mindset who&rsquo;s eager to dive into complex datasets and partner closely with business leaders in a growing SaaS/tech company backed by Apax Partners.
 
 
 
 What That Means Day-to-day
 
 
 
 The data analyst will play a key role in supporting data-driven decision-making across the organization by analyzing business performance, contractor behavior, and data integration.
 
 
 This role is responsible for collecting and analyzing data from multiple systems, including CRM platforms, Billing Systems (Zuora), financial Systems (NetSuite), and product analytics tools to generate insights that drive growth, operational efficiency, and improved contractor outcomes. The data analyst will monitor and analyze core metrics to help leadership understand business performance and identify opportunities for improvement.
 
 
 <ul>
 <li>
 Build and maintain dashboards and reports for leadership using tools such as Power BI and Alteryx
 </li>
 <li>
 Help automate the current manual reporting
 </li>
 <li>
 Deepen analysis of contractor data to identify key drivers for churn or expansion
 </li>
 <li>
 Support forecasting and budgeting processes with data insights
 </li>
 <li>
 Analyze key business metrics to provide deeper insights into the business
 </li>
 <li>
 Work with teams to ensure data integrity and consistency
 </li>
 <li>
 Translate complex data into clear insights and recommendations
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Be Successful
 
 
 
 The ideal candidate brings strong data fundamentals, thrives in ambiguity, and has the technical horsepower to work with complex datasets while maintaining business acumen to influence senior leaders. This person is a highly detail-oriented self-starter who can balance precision and speed in a fast-paced environment, manage competing priorities independently, and collaborate effectively with others through strong interpersonal skills.
 
 
 <ul>
 <li>
 5+ years of data analytics experience with demonstrated expertise in SQL, Power Query or Alteryx, PowerBI and Excel skills, preferably in high-growth or PE-backed companies
 </li>
 <li>
 Bachelor's degree in Finance, Accounting, Economics, Statistics or related field
 </li>
 <li>
 Comfort working with data from multiple systems and building integrated reporting solutions
 </li>
 <li>
 Exceptional analytical abilities with proven problem-solving skills and intellectual curiosity
 </li>
 <li>
 Ability to translate complex data concepts for non-technical stakeholders with clarity and impact
 </li>
 <li>
 Strong business acumen with the ability to connect financial metrics to operational drivers
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience with financial systems (NetSuite or similar ERP platforms)
 </li>
 <li>
 SaaS or subscription-based business model experience
 </li>
 <li>
 International/multi-entity company experience
 </li>
 <li>
 M&amp;A or integration experience
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Get In Return
 
 
 
 
 Here are just a few of the great reasons you should join our team!
 
 
 
 <ul>
 <li>
 Work with a global team! We have colleagues and customers across North America and overseas.
 </li>
 <li>
 Veriforce is a great place to work! Our leaders and teams cite culture as one of the top reasons this is a great place to build your career.
 </li>
 <li>
 Veriforce provides
 </li>
 <ul>
 <li>
 100% paid employee medical and dental insurance
 </li>
 <li>
 Monthly contributions to Health Savings Accounts
 </li>
 <li>
 A 401(k) match that is immediately fully vested
 </li>
 <li>
 Outstanding time off benefits
 </li>
 <li>
 Paid time off for volunteer activities
 </li>
 <li>
 Remote work
 
 </li>
 </ul>
 </ul>
 All job offers will be contingent on successful completion of a drug screen and background check.
</div>

Data Analyst

ExxonMobil

<div>
 
 About Us
 
 
 At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world&rsquo;s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
 
 
 The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
 
 
 We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society&rsquo;s evolving needs. Learn more about
 
 our What and our Why
 
 and how we can work
 
 together
 
 .
 
 
 
 About Houston
 
 
 ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.
 
 
 By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company&rsquo;s ability to attract, develop and retain the top talent in the industry.
 
 
 The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
 
 
 The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world&rsquo;s top academic, research, and corporate facilities.
 
 
 
 About
 
 
 Learn more about what we do in Houston
 
 here
 
 
 .
 
 
 
 What role you will play in our team
 
 
 
 <ul>
 <li>
 A Data Analyst will leverage data engineering and BI development techniques to pipeline, automate, analyze, and visualize data
 </li>
 <li>
 This role reports to the Continuous Improvement team and supports strategic decision-making for safety, production, and cost optimization by applying data-driven insights
 </li>
 <li>
 This job will be located in Houston, TX
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 <ul>
 <li>
 Develop automated reports, conduct analyses, and provide visibility into KPIs and performance drivers and trends help create final displays of the results, often for formal presentations
 </li>
 <li>
 Build and manage data pipelines integrating structured and unstructured data sources
 </li>
 <li>
 Design, develop, and institute automated workflows utilizing various technologies (SQL, Python, Databricks, Alteryx, Spotfire, MS Power Platform and more) to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
 </li>
 <li>
 Develop ETL processes and maintain application integrations across multiple systems and data sources
 </li>
 <li>
 Coordinate with Field and Engineering to perform analysis on drivers impacting LOE, Capital, and Production
 </li>
 <li>
 Develop, maintain, and distribute recurring reports for Permian Operations timely and accurately
 </li>
 <li>
 Assist in compiling data for regulatory, financial, and accounting reporting
 </li>
 <li>
 Maintain up-to-date and accurate data analysis and tool documentation for reference purposes
 </li>
 <li>
 Evaluate current processes around data entry, data QC, report distribution and provide recommendations and solutions on optimizing existing processes
 </li>
 <li>
 Identify redundancies, automation opportunities, process inefficiencies and provide solutions
 </li>
 <li>
 Communicate, collaborate, and report with multiple departments &ndash; field operations, IT, accounting, data support groups, etc
 </li>
 <li>
 Develop, maintain, distribute, and provide training on standardized tools for analyzing LOE, Capital, Production, and SSHE events/observations
 </li>
 <li>
 Stay updated on advancements in data automation, analysis, AI, machine learning, and digital oilfield technologies
 </li>
 <li>
 Mentor engineers/analysts within the team on data engineering and BI development techniques
 
 
 </li>
 </ul>
 
 About You
 
 
 <ul>
 <li>
 Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or related field
 </li>
 <li>
 Education should include mathematical and computer training
 </li>
 <li>
 5+ years experience in a technical role
 </li>
 <li>
 Advanced level of data handling skills to include data integration and creating reports
 </li>
 <li>
 Proficient working with relational databases and generating complex data visualizations
 </li>
 <li>
 Can modify established workflows and evaluate and assess errors as they arise
 </li>
 <li>
 Can interpret, understand, and explain workflows and data processes
 </li>
 <li>
 Performs complex analytics, generates insightful dashboards and or can write code to automate basic redundant workflows/processes
 </li>
 <li>
 Works under limited supervision
 </li>
 <li>
 Works with technical staff and professionals
 </li>
 <li>
 Experience with data visualization including Spotfire and PowerBI applications is required
 </li>
 <li>
 Experience with ETL processes and Workflow automation (Ex: Databricks, Alteryx) is required
 </li>
 <li>
 Advanced proficiency in MS Office suite
 
 
 </li>
 </ul>
 
 Preferred Qualifications/ Experience
 
 
 <ul>
 <li>
 Understanding of programming languages such as Python, R, Matlab or similar is highly preferred
 </li>
 <li>
 Subject Matter Expert within select functions applicable to Data Analyst role
 
 
 </li>
 </ul>
 
 Your Benefits
 
 
 
 An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
 
 
 
 
 We offer you:
 
 
 
 <ul>
 <li>
 Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
 </li>
 <li>
 Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match
 </li>
 <li>
 Comprehensive medical, dental, and vision plans.
 </li>
 <li>
 Culture of Health: Programs and resources to support your wellbeing.
 </li>
 <li>
 Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
 </li>
 <li>
 Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.
 
 
 </li>
 </ul>
 More information on our Company&rsquo;s benefits can be found at www.exxonmobilfamily.com
 
 
 Please note benefits may be changed from time to time without notice, subject to applicable law.
 
 
 
 Stay connected with us
 
 
 
 Learn more at our
 
 website
 
 
 
 Follow us on
 
 LinkedIN
 
 and
 
 Instagram
 
 
 
 Like us on
 
 Facebook
 
 
 
 Subscribe our channel at
 
 YouTube
 
 
 
 
 Employer equal opportunity
 
 
 
 
 ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
 
 
 
 Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
 
 
 Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
 
 
 
 Job Id: 82322
 
</div>

NRG Energy

<div>Welcome to the intersection of energy and home services. At NRG, we&rsquo;re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers&rsquo; lives easier&mdash;helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.
We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.
More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X.
<div>
Position Summary:</div><div> 
The Data Engineer is responsible for building, maintaining, and supporting data pipelines and data platforms used for analytics, reporting, and data science initiatives within contact center operations. This role works closely with the Customer Care Analytics team to ensure reliable data ingestion, transformation, and availability across multiple systems and environments. The role ensures that data insights solutions which will enhance customer experience, boost agent productivity, and improve operational efficiency.</div><div> 
Key Responsibilities:</div><div> 
AI Solution Implementation &amp; Support</div><div><ul><li> 
Collaborate with cross-functional teams to integrate and deploy data engineer technologies</li></ul></div><div><ul><li>
Develop and maintain data pipelines for ingesting and processing data from various sources such as APIs, S3, Google Cloud Storage and flat files.</li></ul></div><div><ul><li>
Build and manage ETL/ELT workflows using Databricks, Spark, Python and SQL.</li></ul></div><div><ul><li>
Design and maintain data models and tables for analytics and reporting.</li></ul></div><div><ul><li>
Troubleshoot data inconsistencies, missing records, and pipeline failures.</li></ul></div><div><ul><li>
 Work with business teams to understand data requirements and deliver data solutions.</li></ul></div><div><ul><li>
Support data science and AI initiatives by preparing and organizing datasets.</li></ul></div><div><ul><li>
Monitor and optimize data pipeline performance and reliability.</li></ul></div><div><ul><li>
Maintain documentation for data processes, tables, and pipelines.</li></ul></div><div><ul><li>
Assist with data migration, integration, and platform improvements.</li></ul></div><div><ul><li>
Work with vendor solutions for data extractions through API or AWS S3 Workflow</li></ul></div><div> 
Required Skills</div><div><ul><li> 
 Strong experience (10+ years) with SQL, Spark SQL and Spark Python</li></ul></div><div><ul><li>
Experience (2+ years) with Databricks or Apache Spark</li></ul></div><div><ul><li>
 Experience (3+ years) with Power BI</li></ul></div><div><ul><li>
Strong experience working with cloud storage systems (Azure, AWS S3, Google Cloud Storage)</li></ul></div><div><ul><li>
Experience with Git-based version control, including pull requests, code reviews, and branch management in Azure DevOps</li></ul></div><div><ul><li>
Solid knowledge (3+ years) of Python for data processing</li></ul></div><div><ul><li>
Experience building and troubleshooting ETL pipelines</li></ul></div><div><ul><li>
Familiarity with data warehouse concepts and data modeling</li></ul></div><div><ul><li>
Ability to debug data quality issues and reporting discrepancies</li></ul></div><div><ul><li>
Self-driven, proactive problem solving skills</li></ul></div><div> 
Preferred Skills</div><div><ul><li> 
Solid understanding Call center KPIs</li></ul></div><div><ul><li>
Demonstrable strength in analytical and problem-solving skills.</li></ul></div><div><ul><li>
Understand real-time agent assist, virtual agents, chatbots, sentiment analysis, and intelligent routing into existing CRM and telephony systems to streamline workflows.</li></ul></div><div><ul><li>
Excellent communication and stakeholder management skills.</li></ul></div><div><ul><li>
3+ years experience with AWS or Google Cloud</li></ul></div><div><ul><li>
5+ years experience supporting data science / AI teams</li></ul></div><div><ul><li>
 Knowledge of Airflow or other workflow orchestration tools</li></ul></div><div><ul><li>
Experience with large-scale data processing, LLM, API integration</li></ul></div><div><ul><li>
Understanding of natural language processing (NLP) and Machine learning, Modeling, RAG, Agentic AI</li></ul></div><div><ul><li>
Experience with Claude Code for workflow optimization</li></ul></div><div> 
Continuous Improvement</div><div><ul><li> 
Evaluate emerging Data engineering technologies and recommend solutions aligned with business goals.</li></ul></div><div><ul><li>
Assist pilot programs and proof-of-concept initiatives to test new data capabilities.</li></ul></div><div> 
Governance &amp; Compliance</div><div><ul><li> 
Ensure Data solutions comply with data privacy, security, and ethical standards by partnering with NRG&rsquo;s Data &amp; AI team.</li></ul></div><div><ul><li>
Maintain detailed documentation of workflows, changes, and performance metrics. Provide regular reports to stakeholders.</li></ul></div><div> 
Minimum Qualifications:</div><div><ul><li> 
Bachelor&rsquo;s in Computer Science, Data Analytics, Mathematics, Data Science, or related field; or equivalent experience.</li></ul></div><div><ul><li>
3+ years of experience in contact center operations, continuous improvement, business analysis, or technology support.</li></ul></div><div><ul><li>
 Experience with one or more CRM and contact center platforms such as SAP, Salesforce, Genesys, NICE, or Five9.</li></ul></div><div> 
Why Join Us?</div><div><ul><li> 
 Join a forward-thinking team that&rsquo;s redefining customer experience through Data innovation.</li></ul></div><div><ul><li>
Play a key role in transforming how customers interact with our contact center&mdash;making every conversation smarter, faster, and more impactful.</li></ul></div><div><ul><li>
Work with cutting-edge AI technologies in a company committed to ethical AI and a culture of continuous innovation.</li></ul></div><div><ul><li>
 Enjoy a collaborative culture with opportunities for growth, learning and career development.</li></ul></div> 


NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.
EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf)
Official description on file with Talent.</div>

Data Engineer

Corebridge

<div>Who We Are
 
 
At Corebridge Financial, we believe action is everything. That&rsquo;s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.
 
 
We align to a set of Values that are the core pillars that define our culture and help bring our brand purpose to life:
<ul><li>We are stronger as one: We collaborate across the enterprise, scale what works and act decisively for our customers and partners.
</li><li>We deliver on commitments: We are accountable, empower each other and go above and beyond for our stakeholders.
</li><li>We learn, improve and innovate: We get better each day by challenging the status quo and equipping ourselves for the future.
</li><li>We are inclusive: We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.
</li></ul>Who You&rsquo;ll Work With
The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles.
About The Role
We are seeking a highly skilled hands-on Snowflake Data Engineer to help scale our modern Data platform. You will bridge the gap between raw data and actionable intelligence by building robust Data Lakes, Data warehouses, ETL/ELT Pipelines and developing the Data infrastructure necessary for advanced Analytics and AI/ML initiatives. You will work with cutting-edge cloud technologies, specifically leveraging the power of Snowflake Data Platform and AWS AI/ML Platform to drive innovation in the financial services sector.
Responsibilities
<ul><li>Snowflake Platform Engineering: Build and manage complex Snowflake Data Warehouse and Data Lake environments utilizing Open Data formats (Iceberg); design scalable data pipelines using Snowpark, Snowpipe, and OpenFlow, and develop native applications via Streamlit. Drive platform excellence by implementing advanced virtual warehouse optimization, rigorous cost-management strategies, and automated governance frameworks to ensure high performance and scalability
</li><li>ETL/ELT Pipeline Development: Design and maintain automated ETL/ELT pipelines using Configurable ETL frameworks to ingest and transform data from diverse source systems into Snowflake Data Platform and Data Lakes. Partner with stakeholders to translate business needs into scalable data solutions, ensuring high-quality batch and real-time processing for regulatory and financial reporting.
</li><li>AI/ML Support: Collaborate with Data Scientists to build data foundations for machine learning models, including feature engineering and preparing datasets for training/inference for AWS based AI/ML Platform leveraging Amazon Bedrock and SageMaker.
</li><li>Data Governance: Ensure data quality, integrity, and security, maintaining compliance with financial industry standards.
</li></ul>Skills and Qualifications
<ul><li>Bachelor&rsquo;s degree in computer science, Engineering, Data science, or a related technical field.
</li><li>5 + years of Data Engineering experience with at least 3 years of strong hands-on experience in Snowflake. SnowPro Core or SnowPro Advanced Data Engineer Certification Preferred.
</li><li>Strong SQL experience and proficiency in Python/Java for data manipulation and automation.
</li><li>Proven experience using cloud technologies, with significant hands-on experience in Snowflake Data Platform (Warehouses, Horizon Catalog, Snowpark, Snowpipe, OpenFlow, Streamlit, Cortex) &amp; AWS AI/ML Services.
</li><li>Hands-on experience with ETL/ELT frameworks (e.g., Apache NiFi, Airflow, Talend, dbt, Informatica, DataStage, AWS Glue)
</li><li>Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, Databricks) and Cloud data warehouses (Snowflake, Redshift)
</li><li>Strong problem-solving abilities and a passion for working with cutting-edge technologies
</li><li>Excellent communication and collaboration skills to effectively work within a cross-functional team.
</li></ul>Compensation :
The anticipated salary range for this position is $107,000 to $126,000 at the commencement of employment for the Jersey City, NJ and Woodland Hills, CA area. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate&rsquo;s geographic location, skills, experience and other qualifications.
In addition, the position is eligible for a discretionary bonus in accordance with the terms of the applicable incentive plan.
Corebridge also offers a range of competitive benefits as part of the total compensation package, as detailed below.
Work Location
This position is based in Corebridge Financial&rsquo;s Woodland Hills, CA, Jersey City, NJ, or Houston, TX office and is subject to our hybrid working policy, which gives colleagues the benefits of working both in an office and remotely.
Estimated Travel
May include up to 25%.
#LI-SAFG #LI-CW1 #LI-Hybrid
Why Corebridge?
 
 
At Corebridge Financial, we prioritize the health, well-being, and work-life balance of our employees. Our comprehensive benefits and wellness program is designed to support employees both personally and professionally, ensuring that they have the resources and flexibility needed to thrive.
 
 
Benefit Offerings Include:
<ul><li>Health and Wellness: We offer a range of medical, dental and vision insurance plans, as well as mental health support and wellness initiatives to promote overall well-being.
</li><li>Retirement Savings: We offer retirement benefits options, which vary by location. In the U.S., our competitive 401(k) Plan offers a generous dollar-for-dollar Company matching contribution of up to 6% of eligible pay and a Company contribution equal to 3% of eligible pay (subject to annual IRS limits and Plan terms). These Company contributions vest immediately.
</li><li>Employee Assistance Program: Confidential counseling services and resources are available to all employees.
</li><li>Matching charitable donations: Corebridge matches donations to tax-exempt organizations 1:1, up to $5,000.
</li><li>Volunteer Time Off: Employees may use up to 16 volunteer hours annually to support activities that enhance and serve communities where employees live and work.
</li>Paid Time Off: Eligible employees start off with at least 24 Paid Time Off (PTO) days so they can take time off for themselves and their families when they need it. 
<li>
</li></ul> 
Eligibility for and participation in employer-sponsored benefit plans and Company programs will be subject to applicable law, governing Plan document(s) and Company policy.
We are an Equal Opportunity Employer
 
 
Corebridge Financial, is committed to being an equal opportunity employer and we comply with all applicable federal, state, and local fair employment laws. All applicants will be considered for employment based on job-related qualifications and without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, neurodivergence, age, veteran status, or any other protected characteristic. The Company is also committed to compliance with all fair employment practices regarding citizenship and immigration status. At Corebridge Financial, we believe that diversity and inclusion are critical to building a creative workplace that leads to innovation, growth, and profitability. Through a wide variety of programs and initiatives, we invest in each employee, seeking to ensure that our colleagues are respected as individuals and valued for their unique perspectives.
 
 
Corebridge Financial is committed to working with and providing reasonable accommodations to job applicants and employees, including any accommodations needed on the basis of physical or mental disabilities or sincerely held religious beliefs. If you believe you need a reasonable accommodation in order to search for a job opening or to complete any part of the application or hiring process, please send an email to TalentandInclusion@corebridgefinancial.com . Reasonable accommodations will be determined on a case-by-case basis, in accordance with applicable federal, state, and local law.
 
 
We will consider for employment qualified applicants with criminal histories, consistent with applicable law.
To learn more please visit: www.corebridgefinancial.com
Functional Area:
IT - Information Technology
Estimated Travel Percentage (%): No Travel
Relocation Provided: No
American General Life Insurance Company</div>

Data Engineer - Snowflake

Daxwell

<div>
 
 
 We are seeking Data Analyst to support strategic and operational decision-making through rigorous data analysis, automation, reporting, and visualization. The ideal candidate has a combination of strong analytical and SQL skills with fluency in data analytics and automation.
 
 
 
 
 
 
 
 
 Responsibilities include:
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain automated data pipelines and dashboards to support business operations, planning, and performance tracking.
 </li>
 <li>
 Conduct data validation, cleansing, and transformation on structured and semi-structured datasets using SQL, Python, and Spark.
 </li>
 <li>
 Perform exploratory data analysis and develop ad-hoc analytical models to identify trends, anomalies, and optimization opportunities.
 </li>
 <li>
 Support data governance, quality assurance, and contract validation efforts within the enterprise data platform.
 </li>
 <li>
 Develop and maintain KPI frameworks across finance, supply chain, and operations domains; ensure data definitions are consistent across systems.
 </li>
 <li>
 Translate complex data into clear, actionable insights through well-structured narratives, visualizations, and business presentations.
 </li>
 <li>
 Partner closely with engineering, finance, operations, and product teams to align analytical outputs with business priorities.
 </li>
 <li>
 Contribute to the development of analytical feature stores and assist Data Science teams with dataset preparation for modeling and ML pipelines.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Expertise in SQL and Python, with hands-on experience using Pandas and PySpark for analytical workflows.
 </li>
 <li>
 Deep understanding of data modeling, batch processing design, and performance optimization for analytical queries.
 </li>
 <li>
 Experience in business analytics, forecasting, or operational planning within enterprise environments preferred.
 </li>
 <li>
 Familiarity with EKS and EMR deployments, as well as data frameworks such as Apache Airflow, Flink, and Kafka, is a plus.
 </li>
 <li>
 Strong communication skills, with the ability to articulate analytical findings and recommendations to technical and non-technical stakeholders alike.
 </li>
 </ul>
 
 
 
</div>

Boardwalk Pipelines

<div>
 *To access Dayforce at its best, log in from the latest version of Chrome, Safari, Firefox, or Edge. *
 
 
 Boardwalk is a limited partnership operating in the midstream portion of the natural gas and natural gas liquids industry, providing transportation and storage services for our customers. Our 14,000 miles of pipeline and storage assets provide diverse market connectivity to producers and end-users who need reliable sources of natural gas for power generation, home heating or petrochemical feedstocks. We have the experience, knowledge, and flexibility to design service offerings and create system enhancements tailored to our customers&rsquo; needs throughout the 13 states in which we operate. As an organization focused on sustainability, we are committed to protecting the environment while delivering this energy source. This commitment is made to our customers, employees, and the communities in which we operate. We incorporate environmental stewardship, safety, and compliance into our day-to-day operations and seek to strengthen and support the communities we serve. Additional information about the company can be found online at www.bwpipelines.com.
 
 
 We are currently looking for a Data Analyst I/ II/ Sr for our Houston, TX office.
 
 
 
 Position Description
 
 
 
 The Data Analyst at Boardwalk will serve as a key enabler of data-driven decision-making across the entire organization. This role is responsible for transforming complex datasets into clear, actionable insights that support strategic initiatives, operational efficiency, and continuous improvement. The analyst will work closely with teams across operations, engineering, commercial, finance, and environmental functions to deliver high-impact analytics and visualizations.
 
 
 This position is ideal for someone who thrives in a collaborative environment, enjoys solving business problems through data, and is passionate about building intuitive dashboards and reports that empower users at all levels of the organization. The analyst will be instrumental in advancing our business intelligence capabilities and fostering a culture of data literacy and transparency.
 
 
 The successful candidate will demonstrate strong analytical thinking, technical proficiency in data tools, and the ability to communicate insights effectively. While prior experience is valued, we welcome candidates who bring a solid foundation in analytics and a strong desire to grow and contribute.
 
 
 
 Key Responsibilities
 
 
 
 
 Business Intelligence &amp; Visualization
 
 
 
 <ul>
 <li>
 Design and maintain interactive dashboards and reports using Power BI or Tableau to support real-time and historical analysis
 </li>
 <li>
 Create compelling visualizations that communicate trends, performance metrics, and operational insights to stakeholders across the company
 </li>
 <li>
 Automate recurring reports and develop self-service analytics tools to empower business users
 
 
 </li>
 </ul>
 
 Data Analysis &amp; Insight Generation
 
 
 
 <ul>
 <li>
 Analyze operational, financial, and asset performance data to identify patterns, anomalies, and opportunities for improvement
 </li>
 <li>
 Support cross-functional initiatives such as emissions tracking, predictive maintenance, and customer analytics
 </li>
 <li>
 Perform data cleansing, transformation, and validation to ensure accuracy and consistency
 
 
 </li>
 </ul>
 
 Collaboration &amp; Support
 
 
 
 <ul>
 <li>
 Work closely with teams across the organization to understand their data needs and deliver tailored analytical solutions
 </li>
 <li>
 Translate business questions into analytical frameworks and present findings in a clear, actionable format
 </li>
 <li>
 Promote data literacy and foster a culture of data-driven decision-making
 
 
 </li>
 </ul>
 
 Data Management &amp; Integration
 
 
 
 <ul>
 <li>
 Use SQL and Python to query, manipulate, and analyze large datasets from various systems (e.g., SCADA, GIS, ERP)
 </li>
 <li>
 Collaborate with data engineers to ensure reliable data pipelines and integration across platforms
 </li>
 <li>
 Maintain documentation of data sources, definitions, and business logic
 
 
 </li>
 </ul>
 
 Required Skills, Knowledge, And Experience
 
 
 
 <ul>
 <li>
 3+ years of experience in data analysis, preferably in the energy, utilities, or industrial sectors
 </li>
 <li>
 Proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau)
 </li>
 <li>
 Experience with Python or R for data manipulation and statistical analysis
 </li>
 <li>
 Strong understanding of pipeline operations, asset performance, or commercial energy markets
 </li>
 <li>
 Excellent communication skills and the ability to translate data into business insights
 </li>
 <li>
 Ability to communicate insights effectively to technical and non-technical audiences
 </li>
 <li>
 Eagerness to learn and grow in a collaborative, fast-paced environment
 
 
 </li>
 </ul>
 
 Preferred Skills, Knowledge, And Experience
 
 
 
 <ul>
 <li>
 Experience in the natural gas midstream or broader oil &amp; gas industry
 </li>
 <li>
 Familiarity with SCADA systems, GIS data, or pipeline integrity data
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure) and data lake architectures
 </li>
 <li>
 Knowledge of regulatory reporting, emissions tracking, or ESG metrics
 </li>
 <li>
 Relevant certifications such as CPDA, Power BI, Google Data Analytics, or Tableau, reflecting skills in data management, visualization, and business intelligence
 
 
 </li>
 </ul>
 
 Required Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Engineering, Computer Science, Business, or a related field
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 Master&rsquo;s Degree
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug &amp; substance abuse testing before hire.
 
 
 Boardwalk Pipelines, LP is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, age, sex, gender identity, national origin, veteran, or disability status.
</div>

Data Analyst I/ II/ Sr

<div>At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. 
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn&rsquo;t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<ul><li>
Respond effectively to the diverse perspectives, needs, and feelings of others.</li><li>
Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.</li><li>
Use critical thinking to break down complex concepts.</li><li>
Understand the broader objectives of your project or role and how your work fits into the overall strategy.</li><li>
Develop a deeper understanding of the business context and how it is changing.</li><li>
Use reflection to develop self awareness, enhance strengths and address development areas.</li><li>
Interpret data to inform insights and recommendations.</li><li>
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.</li></ul> 
The Opportunity
As part of the Data and Analytics team, you will support the development and optimization of advanced AI models and data solutions. As a Senior Associate, you will lead data architecture initiatives, collaborate with engineers and data scientists, and verify compliance with data governance standards. This role offers a unique chance to enhance your technical knowledge while driving impactful data-driven strategies.
Responsibilities<ul><li>Proficiency in using QlikView and Qlik Sense, which are data visualization and business intelligence tools.</li><li>Ability to develop, design, and maintain dashboards and reports.</li><li>Skills in data modeling, scripting, and creating interactive visual analytics.</li><li>Understanding of data sources, data integration, and ETL (Extract, Transform, Load) processes.</li><li>Experience in interpreting business requirements and translating them into technical solutions using Qlik products.</li><li>Support the development of advanced AI models and data solutions</li><li>Lead initiatives in data architecture and refinement</li><li>Collaborate with engineers and data scientists on projects</li><li>Confirm adherence to data governance and compliance standards</li><li>Analyze data to drive strategic decision-making</li><li>Mentor team members to enhance their technical skills</li><li>Identify opportunities for innovation in data strategies</li><li>Communicate findings and recommendations to stakeholders</li></ul>
The preference for these needs could fall within Data Analytics specific to QlikView / Qlik Sense OR Epic Reporting
Additional Skills Epic reporting:<ul><li>Familiarity with Epic Systems, particularly its reporting modules.</li><li>Experience with generating, customizing, and managing reports within Epic's healthcare software system.</li><li>Knowledge of clinical, operational, or financial data within Epic.</li><li>Ability to extract and analyze data from the Epic database for decision-making.</li><li>Understanding of healthcare workflows and how reporting supports patient care and administrative processes.</li></ul>
What You Must Have<ul><li>Bachelor's Degree</li><li>At least 5 years of experience in data analytics and business intelligence</li></ul>
What Sets You Apart<ul><li>Demonstrating leadership in AI model operations</li><li>Supporting performance optimization and monitoring</li><li>Assisting with prompt tuning and model retraining</li><li>Participating in incident response and root cause analysis</li><li>Collaborating with engineers on GenAI applications</li><li>Utilizing orchestration frameworks for pipeline validation</li><li>Maintaining compliance with data access policies</li><li>Leading data architecture and design implementations</li><li>Building advanced data warehousing solutions</li></ul> 
The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines</div>

Managed Services - Analytics, BI Reporting and Qlik and Epic Reporting - Senior Associate

Explore 470+ Data scientist in Houston this May. Find roles across top companies and apply now to boost your career.

470 data scientist jobs In Houston

Data Analyst

Data Analyst

Data Engineer

Data Engineer - Snowflake

Data Analyst

Data Analyst I/ II/ Sr

Managed Services - Analytics, BI Reporting and Qlik and Epic Reporting - Senior Associate