Business Data Analyst

This role sits at the intersection of data analytics, consulting delivery, and automation/AI enablement.

You will support consultants through data-driven insights, develop automation assets, and help clients adopt next-generation agentic workflows that enhance productivity and decision-making.

Accountability

1. Agentic Workflow Design for Clients

– Design agentic workflows where AI agents assist in decision support and forecasting.

– Build prototypes and proof-of-concept intelligent assistants.

Map processes, workflows, and pain points into AI-enabled automation opportunities.

2. Data Analytics & Insight Generation

– Collect, clean, and analyze complex datasets across industries.

– Support the consulting team in context engineering & development of customized AI tools to enable productivity

– Identify business trends, risks, and opportunities using complex data sets.

– Build dashboards, performance reports, and analytical models.

– Support hypothesis development and validation during consulting engagements.

3. Automating Consulting Deliverables

– Develop scripts, tools, and automation workflows to streamline consulting deliverables.

– Automate data processing steps, templates, and reporting processes.

– Build reusable analytics modules and IP assets.

– Integrate AI and no-code automation tools to enhance productivity.

4. Data & Digital Enablement

– Implement end-to-end data analytics solutions.

– Build analytical frameworks, data governance models, and BI toolkits.

– Support client adoption of analytical and AI tools.

Qualifications

– Bachelor’s degree in data science, AI, Computer Science, or related fields.

– 0-2 years of experience

Technical Skills

– Proficiency in Python and SQL.

– Experience with Pandas, NumPy, Power BI/Tableau.

– Knowledge of ML frameworks.

– Familiarity with automation tools (RPA, LLM workflows, APIs).

– Experience building dashboards, pipelines, or automation scripts.

Business & Consulting Skills

– Strong problem-solving and analytical thinking.

– Ability to translate technical insights into business recommendations.

– Excellent communication and storytelling skills.

– Passion for emerging technologies and AI.

Preferred Experience

– Analytics, consulting, or digital transformation experience.

– Exposure to AI agents or automation workflows.

– Experience developing reusable analytical or automation assets.