Data Analyst - St Charles, United States - FTL Finance

Description

Reporting to the President, the Data Analyst will be at the forefront of driving and influencing transformative change at FTL Finance by developing and implementing an analytical approach to address key business decisions.

This new role will be responsible for collecting, processing, and analyzing data to provide valuable and actionable insights that support FTL's operational goals and strategic vision.

The data analyst will collaborate closely with department leaders in operations, technology, marketing, and sales, and bring new perspectives to assist in solving complex problems.

FTL Finance is a nationwide consumer financing company on a mission to help HVAC and home improvement contractors grow their businesses.

We believe financing should be easy and accessible for everyone, and we're constantly innovating to make that vision a reality.

Our team lives outside of the box and fosters a trusting, supportive culture where everyone feels valued as people first.

We purposefully approach relationships with our customers, partners, and each other with a spirit of cooperation, sincerity, and fun.
Would you like to be part of our success?

Responsibilities:

Data Collection and Integration:
Maintain and optimize databases to ensure data accuracy and availability for analysis. Streamline data sources, identify new sources of data, and establish methods to improve data collection.

Data Cleaning:
Clean and preprocess data to ensure accuracy and consistency, including handling missing values, outliers, and data quality issues.

Data Analysis and Modeling:

Analyze data using statistical techniques, data mining, and data visualization tools to uncover trends, correlations, and insights to address department-specific questions and challenges.

Utilize machine learning and data mining techniques when appropriate.

Data Visualization and Reporting:
Create interactive visualizations, charts, and dashboards to effectively communicate insights.

Prepare reports and presentations for various departments, highlighting key findings in a way that is understandable and actionable for non-technical stakeholders.

Cross-Departmental Collaboration:
Work closely with department heads and team members to understand their strategies, needs, and challenges. Provide data-driven insights and recommendations to improve processes and achieve goals.

Data Security and Compliance:
Ensure that data handling and analysis adhere to data security and privacy regulations.

Documentation:
Maintain comprehensive documentation of data sources, analysis methods, and results for transparency and reference.

Required Experience and Skills:
Bachelor's Degree in a relevant field, such as statistics, mathematics, computer science, economics, finance, or a related discipline
Minimum of 5 years of experience in data analysis
Strong foundation in statistics and data analysis techniques
Proficiency in a programming language for data manipulation, analysis, and modeling
Knowledge of databases and the ability to write SQL queries to extract and manipulate data
Competence in data visualization tools
Familiarity with machine learning algorithms and techniques for predictive modeling
Skills in extracting, transforming, and loading (ETL) data from various sources
An understanding of data ethics and privacy regulations
Ability to relate data analysis to business goals and make data-driven recommendations to solve business problems
Strong verbal and written communication skills to convey findings

Desired Traits:
Independent
Resourceful
Curious
Collaborative
Adaptable
Organized
Efficient
At FTL Finance, we value diversity and the uniqueness of all people.

We thrive in an inclusive environment, and we recruit, hire and promote without regard to race, gender, age, color, gender identity, gender expression, sexual orientation, ethnic or national origin, citizenship, religion, sexual preference, military or veteran status, marital status, family status, physical or mental disability - or any other legally protected categories as set forth in the applicable state, federal or local laws.

This policy applies to all aspects of employment including training, compensation, benefits, and all other privileges of employment.

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