Financial Data Analyst Job at The Burchell Group Inc. in Houston

Job Title:

Finance Data Analyst

Type:

Contract to hire

Location:

Houston, TX

Experience:

5 years

The Data Analyst will play a pivotal role in analyzing data, delivering actionable insights, and equipping our executive team with the tools to make confident, strategic decisions. The Date Analyst will develop and maintain Power BI dashboards, create automated reports, and implement solutions to streamline data access and usability across the company.

Roles & Responsibilities

Collect, process, and transform data (ETL) to support organizational goals

Collaborate closely with executives and department heads to identify and address key data needs, and proactively identify opportunities for data-driven improvements across the organization

Design and build Power BI dashboards, automated reports, and other data tools for business analysis

Manage, develop, and execute AI strategies, models, and solutions to meet business needs and objectives

Utilize SQL to query and extract data for scheduled reports and ad-hoc requests

Ensure data accuracy, consistency, and availability for critical decision-making

Provide actionable insights by analyzing complex data sets and presenting findings

Requirements

BA or BS degree in a technical or quantitative field (e.g.: Computer Science, Statistics, Data Science, etc.)

At least 5 years of experience in a data-related role, demonstrating technical proficiency

Expertise in data visualization tools like Power BI, along with ETL processes and data modeling and Scripting and Statistical programming experience a plus (Python, R, etc.)

Strong FP&A expereince

Preferred Skills

Strong understanding of financial data analysis and asset management

Exceptional communication skills for presenting insights to executives and stakeholders

Ability to work in a fast-paced, high-impact environment

Expert experience with data exploration and modeling

Expert-level skills in SQL, statistical analysis, data validation, and visualization

Knowledge of data structures and algorithms

Excellent verbal and written English communication

Experience with integration of AI/ML techniques to solve real-world business problems