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 organise 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
Skills & Requirements
Required Qualifications:
2-5 years of experience in data analysis and reporting
Basic understanding of business and operating environment
Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as 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 using various visualization tools (e.g., Power BI, Excel)
Knowledge of data governance principles and practices
Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields.