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Attention Arc

AI-Enabled Business Analyst

Full-TimePosted on 10/27/2026
$100k - $120k
Mid
Bachelor's
Irvington, NY, USA
HybridHybrid: in-office Tuesday through Thursday (three days per week); candidates must reside in and commute to Irvington.
Business & StrategyBusiness Operations
No H1B Sponsorship

About the job

Requirements
  • Two to four years of professional experience in business analysis, data analysis, business intelligence, process improvement, operations analytics, or a related analytical role.
  • Strong proficiency in SQL, including joining multiple datasets, filtering and aggregating data, writing complex queries, and validating results.
  • Hands-on experience working with Snowflake or a comparable cloud data warehouse, including querying, combining, and transforming data from multiple sources.
  • Ability to understand business workflows, document processes, identify inefficiencies, and recommend practical improvements.
  • Experience creating process maps, workflow diagrams, decision trees, or business requirements documentation.
  • Experience combining data from multiple systems to support reporting, analysis, or operational improvements.
  • Strong Excel or Google Sheets skills, including advanced formulas, data manipulation, and development of analytical tools or calculators.
  • Practical experience using generative AI tools such as ChatGPT, Claude, Gemini, or Microsoft Copilot to support analysis, research, process improvement, or business workflows.
  • Experience developing and refining AI prompts to produce accurate, structured, and repeatable outputs.
  • Understanding of data quality, validation, data relationships, and basic data transformation principles.
  • Ability to translate business needs into analytical requirements, data solutions, and workflow improvements.
  • Strong analytical reasoning and structured problem-solving skills.
  • Ability to communicate findings and recommendations clearly to technical and nontechnical stakeholders.
  • Experience collaborating with stakeholders to gather requirements, test solutions, and implement improvements.
  • Familiarity with data privacy, information security, and responsible AI practices.
  • Bachelor's degree in Business Analytics, Information Systems, Data Analytics, Business Administration, Computer Science, or a related field, or equivalent practical experience.
  • Candidates must be authorized to work in the United States for any employer.
  • Candidates must reside in and be able to commute to the Irvington office three days per week.
Responsibilities
  • Meet with department leaders, managers, and employees to understand their daily responsibilities, recurring tasks, operational challenges, and business objectives.
  • Analyze existing workflows to identify manual processes, duplicated effort, inefficiencies, disconnected systems, and opportunities for improvement.
  • Develop process maps, workflow diagrams, and decision trees documenting how work moves through the agency and how decisions are made.
  • Ask questions to uncover underlying business problems rather than simply automating existing processes.
  • Identify opportunities to standardize and simplify processes across departments and client teams.
  • Translate business challenges into clear requirements for data solutions, AI applications, workflow automations, and process improvements.
  • Evaluate potential solutions based on feasibility, expected time savings, accuracy, scalability, and business impact.
  • Collaborate with stakeholders to test proposed improvements and ensure solutions fit how employees work.
  • Work with data from multiple internal and external sources to support agency-wide operational improvements.
  • Use SQL and Snowflake to query, join, transform, validate, and organize datasets.
  • Combine information from multiple sources into consolidated datasets, reports, or workflows that reduce manual effort and improve accuracy.
  • Identify opportunities to simplify recurring data preparation, reconciliation, and reporting processes.
  • Analyze data structures and relationships to understand how information flows between systems.
  • Build and improve data-driven tools, calculators, templates, and reporting processes that support business decision-making.
  • Support development of reusable data models and standardized reporting approaches for multiple departments or client teams.
  • Investigate data quality issues, inconsistent definitions, missing information, and process gaps affecting reporting or operational efficiency.
  • Collaborate with Analytics, Data Engineering, and Technology colleagues on complex integrations and data infrastructure needs.
  • Document data sources, transformation logic, calculations, and assumptions to support accuracy and repeatability.
  • Identify practical opportunities to use generative AI and large language models to improve agency workflows.
  • Work with teams to understand the inputs, business context, rules, and desired outputs needed for effective AI-assisted processes.
  • Develop, test, and refine prompts to help employees complete recurring tasks consistently and efficiently.
  • Create structured prompt templates, instructions, and repeatable AI-assisted workflows for common business needs.
  • Partner with Media Planning and other departments to explore AI support for research, information synthesis, plan development, reporting, and operational tasks.
  • Evaluate AI-generated outputs for accuracy, consistency, usefulness, and alignment with business requirements.
  • Determine when AI is appropriate and when data organization, process redesign, or conventional automation would be more effective.
  • Explore tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, and other relevant AI platforms.
  • Document successful AI use cases and make them accessible to employees across the agency.
  • Apply responsible AI practices, including appropriate human review, data privacy, and information security.
  • Identify repetitive tasks and recurring operational challenges that could be improved through automation.
  • Develop or configure practical solutions using spreadsheets, SQL, AI platforms, workflow automation tools, and lightweight scripting where appropriate.
  • Simplify multi-step processes by connecting data sources, standardizing inputs, and reducing manual handoffs.
  • Build and improve operational tools such as calculators, trackers, reporting templates, data preparation workflows, and AI-assisted processes.
  • Explore automation platforms such as Power Automate, Zapier, Make, or similar tools to streamline recurring activities.
  • Work with technical colleagues when solutions require complex software development, system integrations, or engineering support.
  • Test solutions with end users to ensure they produce accurate results and are practical to maintain.
  • Monitor implemented workflows and identify opportunities for continued improvement.
  • Identify recurring challenges and improvement opportunities across the agency, beyond individual client accounts.
  • Recognize patterns in how different teams approach similar tasks and identify opportunities for shared solutions.
  • Collaborate with Media Planning, Activation, Research, Analytics, Account Services, Ad Operations, Finance, Project Management, and People & Experience.
  • Develop scalable processes and tools for use by multiple departments or client teams.
  • Partner with department stakeholders to improve consistency, reduce unnecessary complexity, and strengthen operational effectiveness.
  • Support initiatives that improve the accessibility, organization, and usefulness of agency data and knowledge.
  • Research emerging AI and data technologies and assess their potential application to agency challenges.
  • Develop small-scale prototypes or proof-of-concept solutions to demonstrate opportunities for improvement.
  • Share successful approaches and encourage teams to adopt more efficient ways of working.
  • Build working relationships with employees and department leaders by listening, asking questions, and understanding their challenges.
  • Translate technical and analytical concepts into clear, approachable language for nontechnical stakeholders.
  • Facilitate workflow discussions and help teams articulate business requirements and desired outcomes.
  • Demonstrate new tools, data processes, and AI-assisted workflows to employees.
  • Create process documentation, decision trees, user guides, and training materials that make new solutions easy to understand.
  • Gather employee feedback and use it to improve the usability and effectiveness of implemented solutions.
  • Help teams understand how to use AI and automation responsibly and where human judgment remains essential.
  • Encourage experimentation, knowledge sharing, and continuous improvement across the agency.
  • Help define success metrics for operational improvement initiatives, including time saved, reduced manual effort, improved accuracy, faster turnaround, and employee adoption.
  • Establish baseline measurements where possible to evaluate the impact of process improvements.
  • Monitor the effectiveness of new workflows, data solutions, and AI-assisted processes.
  • Collect stakeholder feedback to assess whether solutions meet business needs.
  • Identify opportunities to refine, expand, or standardize successful solutions.
  • Maintain documentation of active initiatives, completed improvements, and future opportunities.
  • Share findings, progress, and recommendations with Technology leadership and department stakeholders.
  • Focus on practical, measurable improvements that make the agency more efficient and effective.
Desired Qualifications
  • Experience using Python for data manipulation, analysis, scripting, or workflow automation.
  • Familiarity with data transformation concepts, ETL/ELT processes, and data pipelines.
  • Experience with business intelligence tools such as Power BI, Tableau, or Looker.
  • Experience using workflow automation tools such as Power Automate, Zapier, Make, or similar platforms.
  • Exposure to APIs, system integrations, or automated data workflows.
  • Experience developing operational dashboards, calculators, planning tools, or standardized reporting processes.
  • Familiarity with advertising, marketing, media planning, or media agency operations.
  • Experience working with data from multiple client accounts, departments, or business systems.
  • Exposure to AI-assisted analysis, document processing, information retrieval, or structured prompt workflows.
  • Examples of process improvement or data projects demonstrating measurable gains in efficiency, accuracy, or productivity.

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