Work with technology organization and business end-users to understand data and analysis needs and develop 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.
Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.
Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
Analyze and resolve complex data quality issues, utilizing advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability.
Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection, to maintain data integrity and quality.
Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects.
Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis of data.
Build working relationships with team members and subject matter experts.