Data Analyst - Shreveport, LA
: Job Details :

Job Description ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is On-Site at the location detailed in the job post. 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 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 some 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-motiviated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc. Operate with moderate supervision, guidance, and direction from leadership and senior staff. May provide training and guidance to less experienced professionals. Additional Qualifications/Responsibilities Education Description 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 3 years of related experience. Experience with Data visualization software like PowerBI, Tableau, and Looker. Experience with Cloud Computing Platofrms such as GCP, Azure, and AWS. Experience with Data Warehousing technology like Oracle Databases, SAP HANA, Google BigQuery Proficiency in SQL for data querying and manipulation. Proficiency 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 Experience with 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 Physical Requirements Able to communicate either written and verbal communications either in person or through technical equipment such as telephone. Able to demonstrate and apply the manual dexterity to operate a personal computer and common office equipment. Able to sit, stand or walk for long 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 Required to participate in CenterPoint Energy's Emergency Operation Plan (EOP).