Jobs / Cen***
Senior Data Analyst
Cen*** · Houston, TX, United States
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Houston, TX, United StatesOnsite
Remuneration
Not specified
Location
Houston, TX, United States
Visa sponsorship
Sponsors visa
Job summary
Date: Jul 31, 2026 Location: Houston, TX, US, 77002 #job-location.job-location-inline { display: inline; } Company: Cen*** Cen*** and its predecessor companies have been in business for more than 150 years. Our Vision: Our vision is to become the most admired utility in the United States through the execution of our long-term growth strategy.
Benefits
Eligibility begins on your first dayTransit subsidiesFlexible work schedule, paid holidays and paid time offAccess to discounts at fitness clubs and an on-site wellness center at our headqProfessional growth and development programs including tuition reimbursement401(k) Savings Plan featuring a company match dollar-for-dollar up to 6% and a cJob Type: Full TimePosting Start Date: 07/31/2026Posting End Date: 08/07/2026This contractor and subcontractor shall abide by the
Qualifications
- Our data analysts will leverage their knowledge of systems, business processes, regulatory
- and mathematical/statistical expertise to develop new datasets, provide oversight to processes and systems affecting data quality, and perform exploratory analysis to discover new insights.
- As a Senior Data Analyst, you will play a crucial role in supporting the organization's data and analytics strategy by working closely with the business to execute on data-driven initiatives.
- You will be responsible for developing data solutions, performing data analysis, and growing data awareness and literacy within the company.
- This role requires a strong foundation in data analytics with a good understanding of data science, data engineering, and data modeling
- and translate them into actionable insights and data-driven solutions.
- Perform data analysis tasks, including data cleaning, data transformation, and data visualization, to uncover meaningful patterns and trends in large datasets.
- Partner with data engineering to develop and maintain data pipelines and workflows, ensuring efficient and accurate data extraction, transformation, and loading (ETL) processes.
- Apply statistical analysis techniques and machine learning algorithms to identify correlations, predict outcomes, and optimize business processes.
- Assist in the development and maintenance of data models, data dictionaries, and data documentation to ensure data integrity and consistency.
- Conduct exploratory data analysis to discover insights and provide recommendations for improving business performance and decision-making.
- Collaborate with data engineers and data scientists to identify opportunities for automation and optimization of data processes and workflows.
Skills
CommunicationLeadershipProject ManagementSAP
Degrees
AssociateBachelorDegree
Industry
AutomotiveEducationEnergyOil-gas
Company size
Smb
Contract length
50 years