Financial Data Analyst

Bachelors degree in a relevant field such as finance statistics mathematics or computer science. Hybrid Position 9am to 5pm Monday thru Friday (Flexible)
3 years of experience as a data analyst preferably in a business environment.
Strong analytical and problemsolving skills with a keen attention to detail.
Proficient in data analysis tools such as SQL Python R or SAS.
Proficient in scripting in SQL and basic understanding of reporting tools.
Experience with data visualization tools such as Tableau Power BI or QlikView.
Experience with spreadsheet software like Excel or Google Sheets.
Excellent written and verbal communication skills with the ability to present complex data analysis results to both technical and nontechnical stakeholders.
Familiarity with geospatial data.
Willingness to learn new application and data structures.
Answered in #18 on skills and requirements
Familiarity with GenTax application.
Background in analytics in a tax environment.
Proficiency in building reports with SSRS or SAP Crystal Reports.
Previous work in tax administration and development of new taxing programs.
Experience in administration of taxes including sales tax shortterm rental tax alcohol beverage licensing and occupational licensing.
Works independently to satisfy prioritized tasks and duties.
Selfstarter that can learn and operate unfamiliar applications and tools as needed to perform duties.
Construct bridged reports between two record systems. Gather examine and decode extensive datasets through statistical methods and tools. Generate reports dashboards and visualizations to convey data insights to stakeholders. Develop and sustain databases data warehouses and data systems to secure data precision and integrity. Detecting trends and patterns in intricate data sets is vital for formulating datadriven suggestions that improve business efficacy. Pair and blend data sets using specific variables including addresses with known variation between sources.
Collaboration with crossfunctional teams is essential to deliver insights and recommendations that inform business decisions. Its important to effectively communicate complex data analysis findings to stakeholders regardless of their technical background. Keeping abreast of the latest trends and technologies in data analysis is crucial for enhancing our analytical methods. Works independently to satisfy prioritized tasks and duties.
Selfstarter that can learn and operate unfamiliar applications and tools as needed to perform duties.
Remote Work : No