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Sr. Financial Data Analyst
4 months ago
Sr. Financial Data Analyst
USC/GC
This is a contract to hire opportunity - (USC/GC ONLY)
Onsite in Irving Texas near O'Connor Blv
DETAILS:
- Please advise candidates there is a 45 min personality assessment that must be taken.
- Non-negotiable – Must be On-site 5 days weekly (not a hybrid role)
- Must Have: Senior level (8+ years analyst experience).
- Mode: Teams interview with data team. Teams interview with Data Director & Final interview with CFO
Description:
As a member of the Data and Analytics team, the Sr. Financial Data Analyst role will contribute to the success in both the daily operations and long-term strategy of the organization’s data assets. The optimal candidate brings a business-centric mindset to data analysis efforts and has a track record of being a growth enabler.
Job Responsibilities:
- Performing analysis to assess the quality and meaning of data.
- Filter Data by reviewing reports and performance indicators to identify and correct code problems.
- Identifying, Analyzing, and Interpreting patterns and trends in data sets could be helpful for the diagnosis and correction.
- Develop data quality monitoring practice scope and capabilities.
- Assist in the design of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Building Power BI reports for the management stating trends, patterns, and predictions using relevant data.
- Collaborate with data engineers and business teams to improve data models that feed Power BI and increase data accessibility.
- Works in a team-based setting to provide financial and operational value-add reports for utilization by executive and field management.
- Actively seek out and generate new and innovative ways to retrieve, visualize and analyze data across a variety of operational, geological, and financial data sources
- Working with data engineers and various business users to identify process improvement opportunities and propose system modifications.
- Lead business requirement sessions with stakeholders eliciting clear and comprehensive requirements for system features and enhancements.
- Take lead in Data Cataloging, Lineage, Security and Controls for entire data marketplace.
- Develop and execute SQL scripts to test data conversions and perform ad-hoc analysis.
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Gain Domain Knowledge and conduct end user training.
- Removing corrupted data and fixing coding errors and related problems
- Supports Data and Analytics leadership’s work collaborating across the organization to define key performance indicators (KPI’s) and build dashboards that support ongoing reporting and analysis of business results.
- Identify, address and document areas for process improvement and automation in our data flows.
Qualifications/Skills:
- Mastery in converting raw data into valuable datasets.
- Process oriented with great documentation skills.
- Financial industry exposure would be nice to have since this would really help when talking to business stakeholders.
- Knowledge of GAAP or any financial/accounting projects most needed
Education/Experience:
- Bachelor degree or higher
- 8+ years of data analysis writing complex queries.
- 4+ years of data management experience
- 3+ years as a Data Analyst or Business Data Analyst supporting finance or accounting projects.
- Advanced proficiency in PowerBI, including building and maintaining dashboards and SQL
- Experience writing and managing stored procedures, views, and functions, that rely heavily on analytics functions.
- Advanced proficiency with MS Excel (Macros, VBA, V-Lookup, Pivot Tables, etc.).
Nice to have:
- Experience in the automotive and Insurance sectors is a plus.
- Cloud certification on any platform is a plus.
- Experience with Data Cataloging, Lineage, KPI's, building Data artifacts such as Data Dictionary, Standards, and Definitions a plus.
