# AI & Data Analytics Lead

> AutoRentals.com · United States (Remote) · Full-time · Posted 2026-08-24

**Workplace:** remote

**Department:** Marketing

## Description

We are looking for an **AI & Data Analytics Lead** to lead the company’s use of **Artificial Intelligence, data, analytics, automation, and business intelligence**.

This is a hands-on role for someone who sees AI as a fundamental part of how a modern company should operate—not simply as another technology or tool. The goal of this role is to identify opportunities across the organization where AI can improve how we **analyze data, make decisions, automate processes, build reporting, work in Excel, interact with systems, and operate the business.**

The ideal candidate combines strong data and BI skills with a deep understanding of modern AI tools and capabilities. You should be someone who naturally asks:

**“Why are we doing this manually, and how can AI make this better?”**

You will work across Finance, Operations, Marketing, Product, Technology, and other areas of the business to identify opportunities, build solutions, automate workflows, and create a more AI-enabled organization.

### Key Responsibilities

### AI Strategy, Implementation & Automation

·       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.

### AI + Excel

·       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.

### AI + Data & Business Intelligence

·       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.

### Business Analytics & Decision Support

·       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**.

### Process Automation

·       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.

###

## Requirements

### What We’re Looking For

·       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.

### Technical Skills

**Required:**

·       Generative AI / LLMs

·       AI workflow design and implementation

·       Snowflake

·       SQL

·       Tableau

·       Advanced Excel

·       Power Query / Power Pivot

·       Data modeling

·       Data visualization

·       Automation

**Strongly Preferred:**

·       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

### The Ideal Candidate

The ideal candidate is **not simply a BI analyst who knows how to use ChatGPT**.

You are someone who understands data, technology, and business—and who sees AI as a tool that can fundamentally change how a company operates.

You are constantly looking for ways to:

·       Automate instead of manually perform.

·       Predict instead of simply report.

·       Ask AI instead of manually search.

·       Build instead of repeatedly analyze.

·       Connect systems instead of move data between them.

·       Give employees answers instead of making them build reports.

·       Eliminate processes instead of making inefficient processes slightly faster.

You should be excited by the opportunity to take an existing process, understand how it works, and ask:

**“What would this look like if we built it today with AI?”**

### What Success Looks Like

Within the first year, this person should help establish an **AI-first analytics and automation culture** across the organization.

Success will include:

·       AI is being used across Finance, Operations, Marketing, Product, and other business functions.

·       Significant manual reporting and analysis has been automated.

·       Employees can interact with company data more naturally and efficiently.

·       Excel-based processes have been transformed through AI and automation.

·       Snowflake and Tableau provide a scalable foundation for analytics.

·       AI is integrated into reporting, forecasting, analysis, and decision-making.

·       New AI-powered workflows and tools are continuously being developed.

·       Leadership has faster access to better information.

### ·       The company is using AI not just to work faster, but to **work differently and better**.

·

## Benefits

Competitive Compensation, Medical, Dental, Vision, & 401K with Company Match!

## Apply

[Apply at AutoRentals.com](https://apply.workable.com/autorentals/j/3844870A3A/apply)

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