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DATA ANALYST, Hybrid San Antonio
Location: San Antonio, TX
Job Description:
DATA ANALYST
San Antonio, Hybrid
Compensation: $90,000 - $105,000
My client is an award-winning Top 200 Fastest Growing firm, Top 100 Public Accounting firm, and Top Places for Women to work! They have experienced such growth that they are looking to add a Data Analyst to the team!
This firm offers their clients a variety of diverse services including tax planning, audit, consulting, due diligence, IT security & compliance, and wealth management.
PERKS:
WORK. LIFE. BALANCE. Will NOT work over 50-55 hours in busy season!
Zero politics or stress of a “Big 4” firm environment.
Opportunity for growth & learning!
ABOUT THE DATA ANALYST ROLE:
As a data analyst, you will play a crucial role in managing, interpreting, and integrating data across various platforms. This role involves creating and optimizing SQL queries, creating visualizations with tools such as Power BI and Python, and automating data processes with tools like Power Automate.
WHAT THE DATA ANALYST WILL BE DOING:
Manage and maintain databases across platforms such as CCH, HubSpot, and other internal systems to ensure data integrity, accuracy, and security through best practices and rigorous daily efforts
Develop, maintain, and optimize SQL queries for data extraction and analysis
Use tools like Power BI and Python to create and support visualizations and dashboards that provide actionable insights
Use advanced analytics techniques to forecast trends, predict outcomes, or identify risks and opportunities
Conduct periodic audits of data systems to identify and rectify inconsistencies or errors
Automate repetitive data tasks and workflows using tools like Python, Power Automate, or other specialized software to help streamline firm operations
Support AI projects and other technology innovation initiatives as needed
Partner with service lines and internal support teams to understand opportunities for automation of tasks
EXPERIENCE:
At least 2 years of experience in a data analyst or similar role, preferably within a professional services environment
Bachelor’s degree in data science, computer science, information technology, or a related field
Proficiency in database management and SQL
Experience with data visualization tools like Power BI, Automation tools like Power Automate
Advanced knowledge of Python for data analysis and automation
Proficiency with APIs and system integrations
Experience managing and cleaning data in platforms like CCH and HubSpot preferred
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