Data Analyst/Senior Data Analyst (Data Governance)

Overview

Partner with business stakeholders and other analysts to understand business data needs, capture data requirements, and perform data collection, processing and cleaning. Provide inputs for data science and business intelligence projects and perform analytical on large data sets to support departmental and organizational objectives. Growing an understanding of business needs and objectives. Solve a range of mostly straightforward problems with some increased scope and complexity. Developing professional with basic skill set and proficiency with procedures and analysis techniques.

Responsibilities

• Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
• Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
• Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
• Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards
• Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects
• Partner with senior staff to communicate findings and insight to stakeholders
• Collaborate with team members and participate in team projects and initiatives
• Provide data research and write data queries for smaller analytics projects

• 2-5 years of experience in data analysis and reporting
• Basic understanding of business and operating environment
• Strong understanding of advanced data cleaning and preprocessing techniques and tools
• Effective skill with analytical techniques required for data usage and data cleaning
• Skill interpreting, extrapolating and interpolating data for statistical research and modeling
• Knowledge of various data structures and ability to extract data sources (e.g., PySpark, PowerBI)
• Knowledge of data governance principles and practices
• Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

• Experience in Databricks
• Experience with Azure cloud platform
• Experience in metadata capture and analysis
• Ability to work with both technical and non-technical teams to drive results
• Ability to manage projects of intermediate-to-advanced complexity with limited supervision
• Advanced knowledge of data governance principles and practices, including data quality and data lineage
• Advanced ability to query and analyze data using SQL or Python
• Master's Degree in Analytics, Business Administration, Information Technology, or degrees in similar fields