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Data Analyst, AI & ML (Chicago-based)
- Chicago, Illinois, United States
- Chicago, Illinois, United States
À propos
Candidates must be authorized to work in the United States.
Individuals must be local to Chicago, as relocation assistance is not available.
Data Analyst, AI & ML (Chicago-based) We are seeking a Data Analyst, AI & ML to join our growing Product & Data team in our downtown Chicago office. This role focuses on leveraging artificial intelligence platforms such as Claude, ChatGPT, Gemini, and other emerging technologies to accelerate research, uncover insights, improve data quality, and support the evolution of our enterprise search intelligence platform.
Compensation & Benefits
Competitive Compensation: hourly pay rate $25.
Contract Duration: initial 3‑month evaluation period with potential for longer‑term engagement.
Benefits Package: health, dental, vision coverage, life insurance, 401(k) with company matching, commuter benefits, generous PTO, paid sick time, and company holidays.
Perks: learning stipend, paid parental leave with flexible work‑from‑home options, company‑wide celebrations, annual global summit.
Requirements
Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Business Analytics, Marketing Analytics, or related field.
1+ years of professional, academic, internship, research, or project‑based experience in data analysis, business intelligence, analytics, AI tools, or related disciplines.
Experience using 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 structured datasets.
Exposure to Artificial Intelligence, Machine Learning, Natural Language Processing, 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 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 to present findings and recommendations clearly.
Comfortable working in a collaborative environment where priorities, technologies, and business needs evolve rapidly.
Responsibilities
Leverage AI tools such as Claude and ChatGPT 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 that demonstrate how emerging AI technologies can improve data quality, analysis, and product capabilities.
Validate data accuracy and integrity while maintaining the quality standards required for enterprise‑scale applications.
Document findings, recommendations, methodologies, and process improvements in a clear, 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, 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.
Diversity, Equity, and Inclusion At seoClarity, we embrace and celebrate our differences. We believe that diverse backgrounds, cultures, abilities, experiences, thoughts, and perspectives lead to more creative problem‑solving, better outcomes, and a stronger organization. seoClarity is proud to be an equal‑opportunity employer and commits to fostering an environment that supports, inspires, and respects all individuals. Employment is based solely on merit and qualifications related to professional competence. No discrimination on the basis of race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law or local ordinance.
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Compétences linguistiques
- English
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