Generate standard or custom reports summarizing business, financial, or economic data for executives, managers, clients, and other stakeholders.
Synthesize current business intelligence or trend data to support recommendations for action, with a focus on AI-driven email management and HR automation systems like GmailGenius and OpsMentor.
Maintain a library of model documents, templates, or other reusable knowledge assets.
Create business intelligence tools or systems, including the design of related databases, spreadsheets, or outputs, focusing on AI and machine learning technologies such as OpenAI GPT-4, Google Gemini 1.5 API, LangChain, and Pinecone Vector Search.
Collect business intelligence data from industry reports, public information, field reports, and other sources, emphasizing data privacy regulations like GDPR and CCPA.
Analyze competitive market strategies through analysis of related product, market, or share trends, specifically tailored to the AI and automation software market.
Maintain or update business intelligence tools, databases, dashboards, systems, or methods to ensure alignment with the latest AI advancements and business requirements.
Identify or monitor current and potential customers, using business intelligence tools.
Highlight the importance of understanding the ethical implications of AI in business processes.
Conduct market analysis to inform product strategy, focusing on performance metrics and KPIs specific to AI-driven business solutions.
Communicate with customers, competitors, suppliers, professional organizations, or others to stay abreast of industry or business trends.
Create or review technical design documentation to ensure accurate development of reporting solutions.
Minimum Qualifications:
Bachelor’s or Master’s degree in Business, Computer Science, Data Analytics, or a related field.
Strong experience with business intelligence tools like Tableau, Power BI, and Excel.
Proficiency in data analysis, report generation, and market analysis.
Familiarity with AI and machine learning technologies (e.g., OpenAI GPT-4, TensorFlow, PyTorch) is a plus.
Solid understanding of data privacy regulations (GDPR, CCPA) and their impact on business intelligence.
Excellent communication and presentation skills.
Ability to work independently in a remote environment while maintaining collaboration with a diverse team.
Technologies and Tools:
BI Tools: Tableau, Power BI, Excel
Collaboration Tools: Asana, Confluence, MS Office, Teams, Slack, OneNote
