Data Analyst

Description
Education: Bachelor’s or master’s degree in Data Science, Computer Science, Information Systems or other Information Technology major, or equivalent work experience. 

Required Tasks to be performed: 
• Design, implement, and maintain robust data pipelines and architectures. • Develop and implement data quality control procedures to ensure the accuracy, completeness, and consistency of data assets. • Optimize data processing workflows and algorithms for efficiency, scalability, and reliability. • Perform ad hoc data cleansing of datasets as needed. • Configure SAS Viya analytics platform. • Ensure compliance with data privacy regulations and security best practices in data handling, storage, and transmission. • Stay current with emerging technologies, tools, and methodologies in data engineering and environmental science. • Collaborate with data scientists and analysts to optimize models and algorithms for data quality, security, and governance. • Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance. • Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques. • Establish the governance of data and algorithms used for analysis, analytical applications, and automated decision making. • Provide leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices. 

Required Knowledge, Skills & Abilities (KSAs): • 3-5 years’ experience in data engineering, including designing and implementing data pipelines and ETL processes. • Proficiency with data management platforms such as SAS Viya, Alteryx, or others. (Proficiency level – 4) • Proficiency in programming languages such as Python, SQL, or Java. (Proficiency level – 4) • Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. (Proficiency level – 4) • Knowledge of relational database design and data modeling. (Proficiency level – 4) • Ability to establish and maintain effective working relationships with others. (Proficiency level – 3) • Ability to work independently. (Proficiency level – 3) • Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level – 3) • Ability to communicate effectively, both verbally and in writing. (Proficiency level – 3) 

Preferred Knowledge, Skills & Abilities (KSAs): • Familiarity with environmental science, water quality, or related fields. • Experience with implementing data warehouses, data lakes, or data lakehouses.

• Experience with cloud computing platforms such as Azure. • Experience with business intelligence tools such as Qlik Sense.