Analytics Engineer - Predictive Analytics & BI - Ardán Inc.

Summary

Westcor Land Title Insurance Company is seeking an Analytics Engineer to join its Business Intelligence team. The role focuses on developing predictive analytics, reporting, data models, automation, and data infrastructure capabilities while partnering with technical and business stakeholders to turn complex data into actionable business solutions.

Responsibilities

• Develop predictive analytics solutions that support forecasting, performance measurement, business planning, and opportunity identification
• Build analytical models, datasets, and tools that help business 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 engineering-related work, including data extraction, transformation, cleansing, validation, automation, and data pipeline support
• Partner with the BI Manager, BI team members, IT, and business stakeholders to translate business needs into actionable data solutions
• Help improve data quality, consistency, scalability, and reliability across reporting and analytics processes
• Communicate analytical findings clearly to both technical and non-technical audiences
• Contribute to a collaborative BI team culture built around ownership, strategic thinking, problem-solving, and continuous improvement

Skills

• Experience in analytics, business intelligence, data engineering, predictive analytics, or a related technical data role
• Strong SQL skills, including experience querying, transforming, validating, and analyzing complex datasets
• Experience working 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 the ability to explain technical concepts and analytical findings to business stakeholders
• Ability to define problems, collect data, establish facts, and draw valid conclusions
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists
• Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form
• While performing the duties of this job, the employee is regularly required to talk or hear
• The employee frequently is required to sit
• The employee is occasionally required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell
• The employee must frequently lift and/or move up to 25 pounds
• Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and the ability to adjust focus
• 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

Qualifications

Must Haves

• Experience in analytics, business intelligence, data engineering, predictive analytics, or a related technical data role
• Strong SQL skills, including experience querying, transforming, validating, and analyzing complex datasets
• Experience working 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 the ability to explain technical concepts and analytical findings to business stakeholders
• Ability to define problems, collect data, establish facts, and draw valid conclusions
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists
• Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form
• While performing the duties of this job, the employee is regularly required to talk or hear
• The employee frequently is required to sit
• The employee is occasionally required to stand; walk; use hands to finger, handle, or feel; reach with hands and arms; climb or balance; stoop, kneel, crouch, or crawl; and taste or smell
• The employee must frequently lift and/or move up to 25 pounds
• Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and the ability to adjust focus

Nice to Haves

• 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