| Lead Data Analyst - Hybrid Houston :: Local Candidates Only :: Only USC or GC or EAD'S at Houston, Texas, USA |
| Email: [email protected] |
| From: Mohd Niyaz, sibitalent [email protected] Reply to: [email protected] Location onsite hybrid 3 days a week onsite Centrepoint Energy Project Management Experience Utility experience Experience with data governance ETL & BIGQUERY sequel statements (rating |8-9/10) Understanding large data sets - go getter, roll up sleeves and ready to learn data & systems. Right now they're generating AI - area that they want to go too Communicate with stake holders (technical & non-technical) 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-motiviated 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-motiviated 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. Thanks and Regards, Mohd Niyaz Email : [email protected] Linkedin ID:- linkedin.com/in/mohd-niyaz-362667220 Web: www.sibitalent.com 101 E. Park Blvd., Suite 600 Plano, TX - 75074 Keywords: artificial intelligence rlang golang Idaho Texas Lead Data Analyst - Hybrid Houston :: Local Candidates Only :: Only USC or GC or EAD'S [email protected] |
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| Wed Oct 23 03:31:00 UTC 2024 |