Data Analyst

Senior Data Analyst Houston, TX Job Summary: Our data analysts will leverage their knowledge of systems, business processes, regulatory requirements 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 skills.

Essential Functions: Collaborate with business stakeholders to understand their data needs and requirements, 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. Monitor data quality and proactively identify and resolve data discrepancies or anomalies.

Participate in cross-functional teams to support data-related projects, providing expertise and guidance on data analysis, data management, and data visualization. Work on business case development, project value proposition, and help with workload prioritization. Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.

Constant, self-motivated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc. Interpret and explain information to audiences who are not familiar with the subject matter, often requiring persuasion. Is required to review and recommend solutions to issues that involve a number of possible alternatives which may not be clearly defined.

Serve as a project lead or task force member on projects and/or issues having a significant impact on functional and strategic goals. Provide guidance and training to others in the use of new technologies, theories, concepts and techniques. Constant, self-motivated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.

Operate with limited supervision, guidance, and direction from leadership and senior staff. Provide training and guidance to less experienced professionals. Basic Qualifications Education:

Bachelor's degree from an accredited college or university in Data Science, Analytics, Mathematics, Statistics, Computer Science, or a related field. Experience : Requires a minimum of 5 years of related experience. Strong proficiency in Data visualization software like PowerBI, Tableau, and Looker.

Strong proficiency in Cloud Computing Platofrms such as GCP, Azure, and AWS. Experience with Data Warehousing technology like Oracle Databases, SAP HANA, Google BigQuery Strong proficiency in SQL for data querying and manipulation. Strong in programming languages such as Python and R for data analysis and scripting.

Understanding of data modeling concepts and experience with data modeling tools. Experience working with machine learning, statistical techniques and algorithms Proficiency in ETL processes, data warehousing, and database management systems. Excellent problem-solving and analytical skills, with attention to detail Experience interacting with employees of all levels to present technical data in a non-technical manner.

Strong communication skills, with the ability to translate complex data concepts into understandable insights for non-technical stakeholders. Preferred Experience: Project Management Experience Utility experience Experience with data governance Competencies:

Business and Financial Acumen – Understand the impact actions and decision have on the bottom line of the enterprise. Understand drivers of profitability. Use resources efficiently.

Demonstrate an understanding of how day-to-day activities impact CNP bottom line. Proactively look for and implement ways to reduce or contain costs where appropriate. Knowledgeable of technology enhancements and the efficiencies it brings to company operations Coaching and Development – Develop others’ capabilities to empower them to reach their potential.

Seek opportunities to get input from others for continuous improvement. Provide honest and courageous feedback to others. Seek out and be open to feedback from others.

Inspires, motivates and guides others toward achievement of growth and development goals Collaboration – Eliminate boundaries and drive common goals. Shares information proactively with others in order to achieve shared goals. Collaborates openly with others as a team player to accomplish company/organization objectives.

Demonstrates understanding of the impact of own actions on other team members and/or other departments. Demonstrates behavior that allows others to contribute to their full potential. Connecting, Listening, and Sharing – Maintain open, active, two-way communication Proactively share and seek out ideas with others.

Demonstrate openness and accessibility to others. Share thoughts and feelings in a direct, genuine, and respectful way. Demonstrate you have listened to and understand others’ points of view.

Actively seek diverse perspectives. Customer Focus Through Service – Understand and exceed the expectations of internal and external customers Deliver customer-focused strategies that build and sustain customer commitment and loyalty. Exceed internal and/or external customer's expectations.

Accept responsibility for the quality of service delivered. Demonstrate commitment to continuous improvement of services. Readily readjust priorities to pressing and changing customer demands.

Enterprise Mindset – Act in way that are best for the company as a whole Clearly understand the impact and implications of decisions to the company. Place organizational success above individual and team gain. Focus on efforts that add significant value and align according to priorities.

Results Orientation – Reject the status-quo, find opportunities to improve and drive outstand business results Drive for results consistent with the organization's vision, mission, and strategies. Demonstrate curiosity by challenging assumptions and questioning processes. Assess individual performance against a set of measurable criteria.

Hold self and others accountable for verifying results and living the values. Demonstrate willingness to examine successes and failures in order to apply what was learned to improve individual performance. Perform the duties and responsibilities of his or her position efficiently and effectively.

Manages one's own time, energy and abilities and leverages the use of technology for maximum performance. Steadiness — Demonstrate strength, poise, and an appropriate presence . Project credibility in adversarial situations. Make decisions confidently and wisely, after considering alternative courses of action.

Handle conflict effectively. Remain focused and positive during periods of transition or uncertainty. Act to preserve relationships, even under difficult or heated circumstances.

Publicly model behavior that supports the vision and values. Working Conditions: Physical Requirements Able to hear oral communication either in person or on equipment such as telephone or mobile phone.

Able to operate a personal computer, either desktop or laptop, for extended periods Able to reach, grasp and move items. Able to sit, stand or walk for extended periods of time. Able to exert up to 10 pounds of force occasionally, and/or a minimal amount of force frequently to lift, carry, push, pull, or otherwise move objects.

Working Conditions: Able to support the Emergency Operating Plan. Able to work indoors, in an office environment, regardless of whether open office, cubicle or private office. Able to travel occasionally, possibly overnight.