Analytics Engineer – Predictive Analytics, BI

Job not on LinkedIn

🔥 0 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ardán®

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2022

🏠 Real Estate

🛡️ Insurance

☁️ SaaS

Real Estate • Insurance • SaaS

Ardán is a family of companies that makes real-estate closings faster, simpler, and safer through technology-driven, innovative solutions, sound underwriting, and exceptional customer service. The organization focuses on insurance fulfillment, data, and technology to support real estate and closing processes, and is majority owned by The Orogen Group, a strategic investor in financial services and related businesses.

📋 Description

• Develop predictive analytics solutions for forecasting, performance measurement, business planning, and opportunity identification • Build analytical models, datasets, and tools to help leaders understand trends, risks, performance drivers, and future outcomes • Work with large and complex datasets, primarily using SQL and AWS Redshift • Support BI reporting and dashboard initiatives, including KPI development, executive reporting, and recurring performance analysis • Assist with data extraction, transformation, cleansing, validation, automation, and data pipeline support • Partner with the BI Manager, BI team, IT, and business stakeholders to translate business needs into actionable data solutions • Improve data quality, consistency, scalability, and reliability across reporting and analytics processes • Communicate analytical findings to technical and non-technical audiences • Contribute to a collaborative BI team culture focused on ownership, strategic thinking, problem-solving, and continuous improvement • Report to the Business Intelligence Manager

🎯 Requirements

• Experience in analytics, business intelligence, data engineering, predictive analytics, or a related technical data role • Strong SQL skills, including querying, transforming, validating, and analyzing complex datasets • Experience with cloud data warehouses or relational databases; AWS Redshift experience strongly preferred • Experience with predictive analytics, forecasting, statistical analysis, trend analysis, or business performance projections • Experience with Python, R, or similar tools for data analysis, automation, or modeling • Strong understanding of data modeling, data quality, and analytical dataset development • Ability to work independently, manage priorities, and contribute quickly in a fast-moving environment • Strong communication skills, including explaining technical concepts and analytical findings to business stakeholders • Familiarity with Power BI, DAX, Power Query, semantic models, or dashboard development • Experience with Microsoft Fabric, including OneLake, Data Factory, Lakehouse, Warehouse, Notebooks, or related Fabric capabilities • Experience with ETL/ELT processes, data pipelines, APIs, or data warehouse architecture • Experience supporting sales analytics, financial analytics, operational analytics, executive reporting, or business intelligence initiatives • Experience working with Salesforce, CRM, revenue, customer, agent, or operational datasets • Familiarity with machine learning concepts, regression modeling, classification, forecasting methods, or scoring models • Experience automating reporting, analytics workflows, or recurring data processes • Familiarity with documentation, testing, version control, or analytics engineering best practices

🏖️ 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