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Financial Data Analyst
2 months ago
Carnegie Mellon University is seeking a highly skilled and motivated Financial Data Analyst to join our vibrant and growing data analytics community. In this position, you will be responsible for executing a variety of projects aimed at enhancing our ability to collect, analyze, and visualize financial data and build data narratives to inform business and operational decisions.
Key Responsibilities- Partner with cross-functional teams to document and design data sets and dashboards to meet enterprise decision-making needs, primarily but not exclusively in Finance areas.
- Create and manage data sets and dashboards in accordance with specifications and CMU's data guidelines and strategy.
- Ensure data is accurate, consistent, valid, and reliable for consumption through the use of Data Quality and Data Sharing tools (Informatica, Snowflake).
- Work with Finance, Institutional Effectiveness and Planning, and Enterprise Information Systems colleagues to leverage data on the enterprise data sharing platform, reducing data silos and increasing cross-department data sharing.
- Communicate new or emerging enterprise data elements to Data Governance for analysis and inclusion in CMU's data dictionary.
- Develop data analysis and visualization by leveraging enterprise dashboard tools (Tableau, PowerBI).
- Provide technical and programming support to business partners related to the construction, implementation, delivery, and/or other related activities to data sets and dashboards as needed.
- Collaborate with and provide feedback to other data professionals through critical initiatives for the continuous improvement of the data-driven culture at CMU.
- Respond to and resolve customer support requests.
- Bachelor's degree required.
- 5-8 years of relevant work experience in higher education and/or the industry required.
- 2-3 years of Data Visualization and Dashboard/Report Design experience strongly preferred (i.e. Tableau, PowerBI, or other data visualization platforms).
- One or two years of Data Analytics experience with hands-on experience with SQL, ETL or ELT, and data quality, prep and cleansing preferred.
- Knowledge of Data Analytic and Visualization concepts, standard processes, and development methodology.
- Knowledge of relational databases and data models.
- Comprehensive medical, prescription, dental, and vision insurance.
- An enticing retirement savings program offering a generous employer contribution.
- Tuition benefits.
- Adequate paid time off and observed holidays.
- Life and accidental death and disability insurance.
- A free Pittsburgh Regional Transit bus pass.
- Access to a fitness center.
- A Family Concierge Team to help navigate childcare needs.