About the Project: The client is launching a strategic initiative to improve the accuracy, consistency, and cleanliness of our land lease and landowner payments data. This data integrity project will play a vital role in strengthening our enterprise systems, reporting capabilities, and data-driven decision-making. We are seeking a detail-oriented and motivated Data Analyst to support this initiative and ensure high standards of data quality across systems. Key Responsibilities: • Conduct data integrity assessments across multiple datasets and systems to identify inconsistencies, inaccuracies, and duplications. • Execute comprehensive data cleaning and validation procedures. • Communicate directly with colleagues and stakeholders to request data updates and issue resolution. • Define, document, and implement data quality rules, standards, and processes. • Collaborate with IT, data owners, and other internal teams to reinforce data governance best practices. • Maintain thorough documentation of identified issues and corrective actions taken. • Deliver regular reports and metrics on data quality status to project leadership. Required Qualifications: • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field. • 1–3 years of experience in data analysis, data management, or a similar role. • Proficiency in Microsoft Excel, with a strong grasp of data tools and formulas. • Demonstrated experience in data integrity, validation, and cleaning methodologies. • Ability to manage multiple priorities effectively in a dynamic environment. • Strong problem-solving skills and attention to detail. • Proven ability to navigate and resolve difficult conversations or conflicts. • Excellent communication skills, particularly when explaining complex data issues to non-technical stakeholders. • Self-starter with the ability to work independently and collaboratively. Preferred Skills: • Familiarity with land or real estate contracts. • Experience auditing or cleansing customer billing or payments data. • Background in the energy sector or handling energy-related datasets.