| USC ONLY - Local to TX - Hybrid Role *Data Analyst :: Downtown Houston, Texas ( Onsite 3 Days work from office and 2 days remote ) ONLY Local to TX candidates will be Considered (No Relocation) at Houston, Texas, USA |
| Email: [email protected] |
| Hello, Hope you are doing well, We have the below requirement open. Please send me your candidates updated Resume to [email protected] Role: Data Analyst Location: Downtown Houston, Texas ( Onsite 3 Days work from office and 2 days remote ) ONLY Local to TX candidates will be Considered (No Relocation) Visa Status: USC ONLY Job Roles / Responsibilities: NOTE : Need Passport number and LinkedIn ID and please do mention Current Location and Visa of candidate while sending the Profile Job Description : 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. 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 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 Thanks & Regards Mohd Azhar Uddin Email: [email protected] LinkedIn: https://www.linkedin.com/in/azhar-uddin-13b7b7173/ -- Keywords: rlang information technology Idaho Texas USC ONLY - Local to TX - Hybrid Role *Data Analyst :: Downtown Houston, Texas ( Onsite 3 Days work from office and 2 days remote ) ONLY Local to TX candidates will be Considered (No Relocation) [email protected] |
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| Fri Nov 08 19:53:00 UTC 2024 |