# Analyst, Sales Operations

**Company:** [SpotOn](https://hotfix.jobs/companies/spoton)
**Location:** Chicago, IL
**Role:** Revenue Operations
**Salary:** $73k – $91k/yr
**Experience:** 2+ years
**Skills:** Salesforce, SQL, Python, R, Tableau, Looker, Power BI, Predictive Modeling, Regression Analysis, Feature Engineering
**Posted:** 2026-06-22

> Own Salesforce lead data health, build reporting, and apply SQL, analytics, and AI tools to improve lead quality, sales efficiency, and pipeline performance.

## Job Description

## What You’ll Do
- Own lead data health in Salesforce, including deduplication, enrichment, data integrity, and ongoing CRM hygiene.
- Build and maintain reporting that provides visibility into lead quality, sales follow-up, and lead management effectiveness.
- Translate complex data and model outputs into clear, actionable recommendations that improve lead performance, sales efficiency, and strategic decision-making.
- Measure the effectiveness of lead management initiatives and recommend optimizations based on performance data.
- Partner with stakeholders to improve how leads are identified, prioritized, and worked across the organization.
- Leverage Salesforce, SQL, and automation tools to streamline lead management processes and reduce manual work.
- Integrate AI-powered tools and automation workflows to reduce manual data work, improve process reliability, and enable faster, more scalable operations.
- Apply statistical modeling, segmentation analysis, and predictive analytics to identify trends in lead behavior, conversion likelihood, and pipeline health.
- Leverage AI and large language model (LLM) tools to accelerate data analysis, automate insight generation, and surface anomalies or patterns at scale.

## What Success Looks Like
- Lead data is accurate, enriched, and trusted across the organization.
- Lead scoring and prioritization frameworks help sales teams focus on the highest-value opportunities.
- Reporting provides clear visibility into lead performance and conversion trends.
- Manual processes are reduced through automation and process improvements.
- Sales, Marketing, and Revenue Operations teams view you as a trusted partner for lead management strategy and execution.
- Predictive models and data science outputs are actively used by leadership to guide lead strategy, resource allocation, and go-to-market decisions.
- AI tools are embedded into the team’s workflow, reducing time spent on manual analysis and freeing capacity for higher-impact strategic work.

## What You’ll Bring
- 2–4 years of experience in Revenue Operations, Sales Operations, Marketing Operations, Lead Management, or a related analytical role.
- Strong analytical and problem-solving skills with the ability to turn data into actionable insights.
- Experience working in Salesforce and building reports and dashboards.
- Strong proficiency in SQL for complex data extraction and manipulation; experience with Python or R for statistical analysis and modeling strongly preferred.
- Strong attention to detail and commitment to data accuracy.
- Ability to manage multiple priorities and work independently in a fast-paced environment.
- Excellent communication and cross-functional collaboration skills.
- Hands-on experience with data science techniques including predictive modeling, clustering, regression analysis, and feature engineering applied to business or marketing datasets.
- Comfortable working with large, messy datasets — skilled at data wrangling, cleansing, and transforming raw data into analysis-ready formats.
- Active user of AI tools (e.g., ChatGPT, Copilot, or similar LLMs) to enhance productivity — from drafting analyses and summarizing data to writing code and automating repetitive tasks.
- Experience with BI and data visualization platforms (e.g., Tableau, Looker, Power BI, or similar) and the ability to build intuitive dashboards for non-technical stakeholders.

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