Analyst, Finance systems

The Data Analyst provides analytics and decision support at a corporate level, assisting the executive staff and finance community. You will work on a team responsible for a shared reporting & analytics infrastructure and directly provide reporting, analysis, and insights to the executive teams. Leveraging various tools & analytical capabilities, you will support analysis across different functional areas of the business and their impacts on company financial performance. Gathering/developing required datasets, applying different techniques to analyze/test business hypotheses, and summarizing findings with clear data/method driven substantiation are key responsibilities. Accessing and integrating information/data from various sources into a structured environment for analytics and reporting is essential. Developing, maintaining, and tuning complex databases to ensure data availability and integrity, as well as automating integrations between data sources and processes to expedite information availability, consistency in results, and minimize costs are part of the role. Performing and documenting detailed root cause analyses, investigating and isolating issues in the code base and outlier data affecting key performance metrics are critical tasks. Developing and automating standardized reporting delivery for Executive level presentations or distribution to end users is required. Using a variety of analytical techniques to discover, identify, and conclude analysis reactively to leadership requests and proactively based on curiosity/desire to move the business forward is important. Defining and documenting core business metrics, definitions, and logic by collaborating with business teams, delivering analysis and findings to leadership and business teams, and staying updated on developments in technology, business intelligence, data warehousing, and emerging technologies are key responsibilities. Technical Qualifications: - Ability to extract and integrate data using technologies such as SQL, Snowflake, ODBC, ETL Tools, Oracle, DB2, MS Access - Familiarity with reporting/analytical apps including Oracle BI, Power BI, Tableau, SAS, Cognos, Bus Objects - Ability to automate reporting/analysis and operational processes using Python, R - Presenting information and responding to questions from senior management, department heads, and Finance/IT/Business teams - Attention to quality, reconciliation, and accuracy is crucial due to the audience often being executive level staff Education and Experience: - Bachelor's degree in computer science, Engineering, Business, or related field required (Master's in Analytics or Mathematics a plus) - 2-5 years of systems/business analysis experience; or equivalent combination of education and experience.,