DATA ANALYST, Hybrid San Antonio

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

Bachelors 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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