Analytics Engineer – Predictive Analytics, BI

This is a fully remote position, open to applicants in Florida.

📋 Description

• Create predictive analytics solutions for forecasting, performance measurement, business planning, and identifying opportunities.

• Develop analytical models, datasets, and tools to assist leaders in understanding trends, risks, performance drivers, and future results.

• Handle large and intricate datasets, primarily utilizing SQL and AWS Redshift.

• Aid in BI reporting and dashboard projects, encompassing KPI development, executive reporting, and ongoing performance evaluation.

• Support data extraction, transformation, cleansing, validation, automation, and data pipeline assistance.

• Collaborate with the BI Manager, BI team, IT, and business stakeholders to convert business requirements into actionable data solutions.

• Enhance data quality, consistency, scalability, and reliability throughout reporting and analytics workflows.

• Present analytical insights to both technical and non-technical audiences.

• Contribute to a collaborative BI team culture emphasizing ownership, strategic thinking, problem-solving, and continuous enhancement.

• Report directly to the Business Intelligence Manager.

⛳️ Requirements

• Proven experience in analytics, business intelligence, data engineering, predictive analytics, or a similar technical data position.

• Proficient in SQL, including querying, transforming, validating, and analyzing complex datasets.

• Familiarity with cloud data warehouses or relational databases; AWS Redshift experience is highly preferred.

• Background in predictive analytics, forecasting, statistical analysis, trend analysis, or business performance projections.

• Proficient in Python, R, or comparable tools for data analysis, automation, or modeling.

• Strong grasp of data modeling, data quality, and the development of analytical datasets.

• Capacity to work independently, prioritize tasks, and quickly contribute in a fast-paced environment.

• Excellent communication skills, including the ability to explain technical concepts and analytical findings to business stakeholders.

• Familiarity with Power BI, DAX, Power Query, semantic models, or dashboard creation.

• Experience with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, Warehouse, Notebooks, or related capabilities.

• Knowledge of ETL/ELT processes, data pipelines, APIs, or data warehouse architecture.

• Experience in supporting sales analytics, financial analytics, operational analytics, executive reporting, or business intelligence initiatives.

• Familiarity with working with Salesforce, CRM, revenue, customer, agent, or operational datasets.

• Understanding of machine learning concepts, regression modeling, classification, forecasting methods, or scoring models.

• Experience in automating reporting, analytics workflows, or recurring data processes.

• Familiarity with documentation, testing, version control, or best practices in analytics engineering.

🏝️ Benefits

• Health, dental, and vision benefits.

• Employer-paid disability and life insurance.

• Flexible spending accounts.

• 401K with company match.

• Paid time off and company-paid holidays.

• Wellness Resources.

• Full-Time Remote work arrangement.