Note: The job is a remote job and is open to candidates in USA. AutoRentals.com is seeking an AI & Data Analytics Lead to advance the company’s use of artificial intelligence, data, analytics, automation, and business intelligence. The role will identify opportunities, build AI-powered solutions, automate workflows, develop analytics and reporting, and support data-driven decision-making across business functions.
Responsibilities
- Lead the company’s practical adoption and implementation of AI across business functions
- Identify opportunities where AI can eliminate manual work, improve decision-making, increase productivity, reduce errors, and create new capabilities
- Evaluate emerging AI technologies, tools, platforms, and models and determine how they can be applied to the business
- Build and implement AI-powered workflows rather than simply recommending AI tools
- Integrate AI into existing business processes, systems, reporting, analytics, and workflows
- Develop AI solutions that allow employees to interact with company data using natural language
- Use AI to automate recurring analysis, reporting, research, data preparation, reconciliation, forecasting, and other manual processes
- Identify opportunities to use AI for anomaly detection, trend identification, forecasting, classification, summarization, and predictive analytics
- Develop repeatable AI solutions that can scale across departments
- Establish best practices for responsible and secure use of AI with company data
- Stay current with rapidly evolving AI capabilities and continuously identify new opportunities to apply them
- Transform how the company uses Excel by integrating AI into Excel-based analysis and workflows
- Develop AI-enabled Excel solutions that automate analysis, reporting, data manipulation, modeling, and repetitive tasks
- Connect Excel to Snowflake, APIs, BI platforms, and other data sources
- Leverage tools such as Microsoft Copilot, ChatGPT, Claude, APIs, Power Query, Power Pivot, VBA, Office Scripts, and other emerging technologies where appropriate
- Build workflows where users can ask questions of data and receive meaningful analysis without manually manipulating large datasets
- Automate recurring Excel reporting and eliminate unnecessary spreadsheet-based manual processes
- Identify opportunities to replace complex manual Excel processes with AI-enabled or automated solutions
- Use AI to fundamentally improve how the company accesses, analyzes, and understands its data
- Work extensively with Snowflake as a core data platform
- Write and optimize SQL queries and develop data models and datasets for analytics
- Use Tableau and other BI tools to develop dashboards and reporting
- Incorporate AI into dashboards and analytics so users can more easily understand and interact with information
- Develop natural-language or AI-assisted interfaces to company data where appropriate
- Use AI to identify trends, outliers, relationships, and insights that may not be obvious through traditional reporting
- Improve data quality and identify inconsistencies using automated and AI-assisted processes
- Partner with Technology and Engineering to improve data pipelines, integrations, APIs, and the overall data environment
- Partner with leadership and business teams to identify high-value analytical and AI opportunities
- Translate business problems into data- and AI-driven solutions
- Develop KPIs, dashboards, analytical models, forecasts, and decision-support tools
- Use AI to accelerate and improve forecasting, scenario analysis, budgeting, financial analysis, and business planning
- Create tools that allow leadership and business users to quickly answer questions using company data
- Move reporting from static historical information toward automated, predictive, and actionable intelligence
- Identify manual and repetitive processes throughout the organization that can be automated using AI, APIs, workflow tools, or traditional automation
- Build automated workflows that connect data, applications, and AI models
- Look beyond the existing process and determine whether AI can eliminate the process entirely or fundamentally redesign it
- Measure the time, cost, and efficiency improvements generated by AI initiatives
- Create scalable solutions rather than one-off experiments
Skills
- 5+ years of experience in **Data Analytics, Business Intelligence, Data Science, AI, Automation, or a related field**
- Strong hands-on experience with **AI and generative AI tools** and a demonstrated ability to apply them to real business problems
- Strong experience with **Snowflake and SQL**
- Strong experience with **Tableau** or another enterprise BI platform
- Advanced **Excel** skills, including Power Query, Power Pivot, data modeling, and automation
- Experience integrating AI with **Excel, APIs, databases, BI tools, and business applications**
- Ability to build practical AI solutions—not just experiment with ChatGPT or other AI tools
- Strong understanding of data structures, data modeling, analytics, and business intelligence
- Strong problem-solving skills and the ability to look at an existing process and identify how technology and AI can fundamentally improve it
- Ability to communicate complex technical concepts to non-technical users
- Comfortable working independently and taking projects from idea through implementation
- Strong business acumen and curiosity about how the entire business operates
- · Generative AI / LLMs
- · AI workflow design and implementation
- · Snowflake
- · SQL
- · Tableau
- · Advanced Excel
- · Power Query / Power Pivot
- · Data modeling
- · Data visualization
- · Automation
- · Python
- · APIs
- · Office Scripts / VBA
- · Microsoft Copilot
- · OpenAI / ChatGPT APIs
- · Claude / Gemini or similar LLM platforms
- · dbt
- · Data pipelines / ETL
- · AI agents and agentic workflows
- · Machine learning / predictive analytics
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with company match
Company Overview
Company H1B Sponsorship