Exciting Opportunities for Senior Data Analyst!You are a curious Data Analyst with a passion for uncovering discrepancies, tracing data lineage, and optimizing automated processes – if this sounds like you, we want you on our team!About INGRITY:INGRITY is a Microsoft data and AI solution partner, working closely with Microsoft to create value for our customers. We collaborate with some of the best ASX-listed companies and many medium-sized businesses, delivering transformative data and AI-driven solutions. Our success is built on innovation, customer advocacy, and our strategic partnership with Microsoft.At INGRITY:Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team. INGRITY isn't your typical workplace; we thrive on the fusion of Intelligence & Grit. Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you.Do you seek roles fostering personal growth, allowing you to excel?Do you flourish in a culture that values open communication and diverse perspectives?Are you passionate about expanding your skills and eager to join a company that invests in employee development?Are integrity and accountability at the core of your values?If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data-smart excellence.About the RoleWe are looking for a Senior Data Analyst with strong data investigation and problem-solving skills to join our team. The ideal candidate will be responsible for deep-diving into data discrepancies, understanding how incorrect data flows through automated processes, and tracing data lineage from source to target systems. If you have a passion for data accuracy, process automation, and root cause analysis, this role is for you.Key Responsibilities:Conduct in-depth data investigations to identify discrepancies and analyze how incorrect data propagates through the system.Work closely with cross-functional teams to trace data lineage, ensuring data integrity and completeness across platforms.Debug and troubleshoot automated workflows and data pipelines to improve efficiency and accuracy.Identify lineage gaps, particularly where TMP rules depend on attributes such as country code.Collaborate with engineering and business teams to implement data quality improvements and optimize data flows.Key Skills & Qualifications:4 years of experience in a similar role, with a strong background in data analysis, investigation, and root cause analysis.Proficiency in SQL, Python, or other data manipulation tools to extract, clean, and analyze large datasets.Hands-on experience with data lineage mapping, tracing data from source to target systems.Experience working with automated processes, customer profile configurations, and transactional data.Knowledge of ETL processes, metadata management, and data governance best practices.Ability to work in a fast-paced environment with multiple stakeholders.Experience with data visualization tools (e.g., Power BI, Tableau) for reporting and data monitoring.Experience with cloud platforms (e.g., AWS, Azure) and data warehousing technologies.Understanding of regulatory data requirements related to transaction monitoring and financial data governance.Apply Now via our Career Portal: https://ingrity.com/careers/?jobId=_WEY3Wedz42DNote:The candidate must have full working rights in Australia to be eligible for this role.
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