Analytics Engineer

CFS, Inc.

Orlando, FL, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$120,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Application Programming Interfaces (APIs) Data Analysis Computer Programming Information Engineering Data Infrastructure Extract Transform Load (ETL) Python (Programming Language) Power BI Cloud Services Standard Sql Salesforce.Com SQL Databases

+4 more

Cloud Platform System Microsoft Fabric Information Technology Data Pipelines

Job description

About the role: The Analytics Engineer will join the Business Intelligence team and help drive the organization’s data and analytics capabilities. This role focuses on building and maintaining data infrastructure, supporting reporting and business intelligence initiatives, and developing scalable data solutions that enable better business decisions. The ideal candidate is a self-starter who enjoys working with data, solving complex problems, and collaborating with both technical and business stakeholders., * Develop predictive models supporting forecasting, planning, and performance analysis

Build financial models, analytical datasets, and reporting solutions
Analyze complex data using SQL and cloud-based data platforms
Design and enhance dashboards, KPIs, and executive reporting
Support ETL processes, automation, and data pipeline improvements
Partner with business leaders to deliver scalable analytics solutions
Present actionable financial and operational insights to stakeholders

Requirements

Bachelor’s degree in Finance, Analytics, Computer Science, Statistics, or related field
3+ years of experience in Financial Analytics, Business Intelligence, Analytics Engineering, or Data Engineering
Strong SQL experience and data analysis skills
Experience with AWS Redshift or similar cloud data platforms
Experience with predictive analytics, forecasting, and financial modeling * Python, R, or similar programming experience preferred * Power BI, DAX, Microsoft Fabric, APIs, or Salesforce experience is a plus
Must be authorized to work in the U.S. without sponsorship

Benefits & conditions

4.04.0 out of 5 stars Orlando, FL Hybrid work Up to $120,000 a year, * Join a growing Business Intelligence team with high visibility across the organization

Build predictive analytics and financial models that directly influence business strategy
Work with modern technologies including AWS Redshift, Power BI, Microsoft Fabric, and Python
Partner with executive leadership and key stakeholders across Finance and IT
High level of ownership, autonomy, and impact
Hybrid work environment with strong work-life balance
Competitive compensation and excellent benefits package
Opportunity to help shape and grow the company’s analytics function