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Assistant Data Analytics Jobs in Houston, TX (NOW HIRING)

Guide and assist Data Stewards and Technical Stewards, including facilitating sessions to identify ... Proficiency with SQL and the ability to analyze data to investigate quality issues and identify ...

Define, populate, and maintain user groups and user access within analytics tools * Assist in user ... Support data validation efforts Knowledge and Experience * Experience with interactive ...

Billing and Data Analyst

Cypress, TX · On-site

$41K - $55K/yr

Mentor and assist in training team members on reporting tools, analytics, and best practices ... Bachelor's degree in Accounting, Finance, Business Analytics, Data Analytics, Information Systems ...

Billing and Data Analyst

Cypress, TX · On-site +1

$41K - $55K/yr

Mentor and assist in training team members on reporting tools, analytics, and best practices ... Bachelor's degree in Accounting, Finance, Business Analytics, Data Analytics, Information Systems ...

Billing and Data Analyst

Cypress, TX · On-site +1

$41K - $55K/yr

Mentor and assist in training team members on reporting tools, analytics, and best practices ... Bachelor's degree in Accounting, Finance, Business Analytics, Data Analytics, Information Systems ...

Billing and Data Analyst

Cypress, TX · On-site

$41K - $55K/yr

Mentor and assist in training team members on reporting tools, analytics, and best practices ... Bachelor's degree in Accounting, Finance, Business Analytics, Data Analytics, Information Systems ...

This role combines data analytics, programming, and business intelligence with hands-on laboratory ... Participate in investigations of deviations, errors, and discrepancies, and assist with CAPA plans ...

Create queries and build visualizations using business intelligence tools (Zoho Analytics, Power BI ... Document data processes and maintain report specifications for team reference * Assist in preparing ...

Data Analyst II

Houston, TX · On-site

$100 - $120/hr

Document data processes and maintain report specifications for team reference. * Assist in ... Python or R is a plus. * Experience with Zoho Analytics and/or Databricks is a huge plus ...

Showing results 21-40

Assistant Data Analytics information

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What are the most commonly searched types of Data Analytics jobs in Houston, TX?

The most popular types of Data Analytics jobs in Houston, TX are:

What are popular job titles related to Assistant Data Analytics jobs in Houston, TX?

For Assistant Data Analytics jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analytics jobs in Houston, TX look for?

The top searched job categories for Assistant Data Analytics jobs in Houston, TX are:

What cities near Houston, TX are hiring for Assistant Data Analytics jobs?

Cities near Houston, TX with the most Assistant Data Analytics job openings:

Infographic showing various Assistant Data Analytics job openings in Houston, TX as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Data Governance Lead

Boardwalk Pipelines

Houston, TX • On-site

Full-time

Posted 17 days ago


Boardwalk Pipelines rating

9.3

Company rating: 9.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

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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' 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 Governance Lead for our Houston, TX office.
POSITION DESCRIPTION:
The Data Governance Lead executes Boardwalk's Data Governance Program by leading the implementation of the data governance strategy, enabling a business-led operating model, overseeing policies, standards, and procedures, and embedding governance practices across the enterprise.
The Data Governance Lead chairs the Governance Working Committee and provides guidance to Domain Owners, Data Stewards, and Technical Stewards. The role also identifies and engages data experts and department leaders to confirm that key datasets are enterprise-ready and recommends priorities to the Data Council. The ideal candidate combines expertise in data quality, metadata management, cataloging, lineage, classification, and issue management with the influence and change-management skills needed to build accountability into daily operations across a midstream energy environment.
KEY RESPONSIBILITIES
Governance Program Leadership & Strategy
  • Lead the execution of the enterprise data governance strategy and recommend priorities, investments, and roadmaps to the Data Council.
  • Administer, implement, and update the Data Governance Program, including its multi-year phased roadmap based on business priorities, available resources, and the overall business and IT strategy.
  • Lead the Governance Working Committee in implementing, maintaining, and maturing the Data Governance Program, and facilitate collaboration and standardization of governance practices across business units.
  • Define the scope for data governance and its interaction with other governance programs such as Information Security and IT governance.

Policies, Standards & Regulatory Compliance
  • Oversee the development, approval, and enforcement of data governance policies, standards, procedures, and guidelines covering data quality, metadata management, classification, retention, access, and security.
  • Ensure governance policies and controls support compliance with FERC, PHMSA, EPA, and other regulatory requirements, and maintain audit readiness.
  • Collaborate with Risk, Compliance, Cybersecurity, and IT teams to manage data risks, implement controls that safeguard sensitive operational, customer, and employee data, and drive continuous improvement of data quality.

Data Stewardship, Domains & Culture
  • Support Domain Owners in appointing qualified Data Stewards and business data experts; identify the need for new Domains as new data is acquired.
  • Guide and assist Data Stewards and Technical Stewards, including facilitating sessions to identify Critical Data Elements, develop data definitions, and determine data quality needs.
  • Define roles, responsibilities, and escalation paths that establish clear accountability for data ownership, quality, and compliance across the enterprise.
  • Create, implement, and deliver enterprise-wide data literacy, training, and communication programs that strengthen adoption and reinforce stewardship behaviors across business units.

Metadata, Data Quality & Issue Management
  • Lead implementation and ongoing administration of Alation, the enterprise data catalog, empowering business users with a catalog of BWP-certified data for reporting and advanced analytics.
  • Oversee data profiling, data lineage capture, data quality monitoring, data quality thresholds and published data quality scorecards.
  • Direct data issue management, prioritizing issues for investigation, identifying root causes, and developing remediation plans spanning both process and technology improvements.
  • Support identification and prioritization of Critical Data Elements and the data classification framework based on data sensitivity.
  • Advance master data management (MDM) for critical domains such as assets, locations, and customers.

Technology Enablement & Business Value
  • Evaluate, recommend, and administer data governance tools and technologies and provide related training.
  • Embed governance practices into modernization, digital transformation, and AI/ML initiatives so that governance accelerates-rather than hinders-delivery.
  • Define, publish, and report governance metrics and KPIs (data quality, compliance findings, stewardship participation, self-service adoption) to leadership.
  • Conduct governance maturity assessments and feedback loops to continuously refine practices in response to regulatory change, business priorities, and emerging technologies.

REQUIRED SKILLS, KNOWLEDGE, AND EXPERIENCE:
  • Bachelor's degree in Information Systems, Computer Science, Engineering, Business, or a related field.
  • 7+ years of experience in data management, data governance, data quality, or related data disciplines, including experience leading enterprise programs or cross-functional working groups.
  • Demonstrated experience developing and implementing data governance policies, standards, and operating models, including stewardship and domain ownership structures.
  • Working knowledge of data governance disciplines: data cataloging, business and technical metadata, data lineage, data profiling, data classification, data quality measurement, and issue management.
  • Experience with data governance and data quality tooling (e.g., data catalog, lineage, and data quality platforms) and with defining and reporting governance KPIs.
  • Proficiency with SQL and the ability to analyze data to investigate quality issues and identify root causes.
  • Strong facilitation, influencing, and change-management skills, with the ability to drive accountability across business and technology teams without direct authority.
  • Ability to communicate complex data concepts to non-technical stakeholders, including executive leadership and regulatory or audit audiences.

PREFERRED SKILLS, KNOWLEDGE, AND EXPERIENCE:
  • Experience in the natural gas midstream or broader oil & gas industry, including familiarity with FERC and PHMSA regulatory requirements.
  • Familiarity with pipeline and enterprise systems such as Maximo, ESRI, SCADA, Oracle EBS/Fusion.
  • Experience implementing master data management (MDM).
  • Experience governing self-service analytics and BI environments, including Power BI user communities and access controls.
  • Experience embedding governance into cloud data platforms and AI/ML initiatives, including data privacy and ethical AI standards.
  • Relevant certification such as CDMP, DGSP, or equivalent data management credential.

REQUIRED EDUCATION:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field

PREFERRED EDUCATION:
  • Masters Degree

ADDITIONAL INFORMATION:
Boardwalk Pipelines, LP, maintains a drug-free workplace and will require pre-employment drug & substance abuse testing before hiring.
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.

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