Senior Data Analyst(Call/Contact Center)( W2 Position Only)

Senior Data Analyst Houston, TX Schedule: Hybrid, onsite Monday-Wednesdays and remote Thursday and Fridays. Required Skills : • Data Analyst with at least 5+ years of experience. • Must have experience providing analytics and dashboards related to call/contact center envrionments. • Tools: Tableau and SQL 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. • Experience working with call center, customer, and reporting data. • Strong proficiency in Tableau Data visualization software. • Strong proficiency in Cloud Computing Platforms 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 or energy experience • Experience with data governance Job Summary: 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.