Data Analyst, AI & ML (Chicago-based)

About the role

We are seeking a Data Analyst, AI & ML (Chicago-based) to join our growing Product & Data team in our downtown Chicago office. This is an ideal opportunity for someone who enjoys working with data, experimenting with AI tools, and solving complex business challenges through analysis and automation. Rather than relying solely on traditional technical skills, you'll leverage modern AI platforms such as Claude, ChatGPT, and other emerging technologies to accelerate research, uncover insights, improve data quality, and support the evolution of our enterprise search intelligence platform. If you're naturally curious, comfortable working with large datasets, excited by the rapid advancement of AI technologies, and eager to apply those tools to real-world business problems, this role offers exceptional exposure, meaningful responsibility, and long-term growth opportunities within a fast-moving SaaS environment.

Requirements

• Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Business Analytics, Marketing Analytics, or a related field.
• 1+ years of professional, academic, internship, research, or project-based experience involving data analysis, business intelligence, analytics, AI tools, or related disciplines.
• Demonstrated experience utilizing AI tools such as Claude, ChatGPT, Gemini, Copilot, or similar platforms to improve productivity, research, analysis, or decision-making.
• Basic familiarity with data analysis concepts, data quality principles, and working with structured datasets.
• Exposure to Artificial Intelligence, Machine Learning, Natural Language Processing (NLP), Entity Recognition, or related AI concepts.
• Ability to leverage AI tools to solve business problems, perform research, analyze information, and generate actionable insights.
• Strong analytical thinking and problem-solving skills with the ability to investigate questions and identify practical solutions.
• Excellent curiosity, adaptability, and willingness to learn emerging technologies and analytical methodologies.
• Strong written and verbal communication skills with the ability to clearly present findings and recommendations.
• Comfortable working in a collaborative environment where priorities, technologies, and business needs may evolve rapidly.

Responsibilities

• Leverage AI tools such as Claude, ChatGPT, and other emerging technologies to accelerate data analysis, research, problem-solving, and workflow efficiency.
• Analyze large-scale datasets to identify trends, anomalies, opportunities, and actionable business insights.
• Support data enrichment, validation, cleansing, and quality improvement initiatives across millions of search and marketing intelligence records.
• Assist with identifying relationships between entities, search behaviors, topics, brands, and content using AI-assisted analytical techniques.
• Partner with Product, Data Science, and Engineering teams to evaluate new datasets, data sources, and AI-driven opportunities.
• Utilize AI-assisted workflows to investigate business questions, generate insights, and improve operational processes.
• Develop Proofs of Concept (PoCs) that demonstrate how emerging AI technologies can improve data quality, analysis, and product capabilities.
• Validate data accuracy and integrity while helping maintain the quality standards required for enterprise-scale applications.
• Document findings, recommendations, methodologies, and process improvements in a clear and organized manner.
• Continuously evaluate new AI tools, workflows, and technologies that can improve team productivity and analytical capabilities.
• Support a fast-moving environment where experimentation, adaptability, curiosity, and continuous learning are highly valued.

Nice to Have

• Experience with Python, SQL, R, Tableau, Power BI, Looker, or similar analytical tools.
• Experience working with large datasets, search data, marketing data, SaaS platforms, or AI-driven technologies.
• Exposure to Natural Language Processing (NLP), Entity Recognition, Machine Learning, Knowledge Graphs, or Information Retrieval concepts.
• Experience using AI-assisted workflows to automate repetitive tasks, improve analysis, or accelerate decision-making.

Pay & Schedule

• Compensation: hourly pay rate is $25.
• Contract Duration: begins with an initial 3-month evaluation period and is intended to transition into a longer-term opportunity for the right individual.
• Schedule: in-office, hybrid schedule – team comes together in our Downtown Chicago office Tuesday through Thursday for high-impact collaboration, with Mondays and Fridays reserved to focus on remote work.

Benefits & Perks

• Robust benefits package including major medical, dental, and vision coverage, company-sponsored life insurance, a 401(k) with company matching, commuter benefits, generous PTO, paid sick time, and company holidays.
• Continuous learning stipend, paid parental leave with extended work-from-home flexibility for new mothers, company-wide celebrations, and an annual global summit that brings teams together.
• Fully stocked kitchen with snacks, drinks, and grab-and-go options.
• Easy downtown access to major commuter options including nearby CTA train and bus routes, Ogilvie Transportation Center, and Union Station.
• On-site café/restaurant (Market Creations), lobby services including a sundry shop, ATM, and FedEx Office.
• Modern building amenities including the Connect 101 Lounge, flexible collaboration areas, conference space, and a game room.
• Fitness center (FIT 101) with cardio equipment, free weights, Peloton bikes, locker rooms, showers, towel service, and secure bike storage (Cycle 101).
• Tenant programming, shared amenity spaces, and on-site beehive sustainability program.

About Us

seoClarity is the technology leader in Search Engine Optimization (SEO) marketing analytics, and our technology platform and services help the world's best and biggest brands optimize their website content so they can be found online and connect to their customers. seoClarity sits at the critical intersection of SEO (Search Engine Optimization), AEO (Answer Engine Optimization), and Artificial Intelligence. As search evolves beyond traditional rankings into AI-generated answers, the ability to analyze, organize, enrich, and interpret massive datasets has become more important than ever.