BUSINESS ANALYST L3
Confirmed on the employer's own hiring board on Nov 14, 2026. First seen by Alion on Nov 6, 2026.
Business Analyst
Position Type: Full-Time
Department: Business Operations, AI Data Operations & Executive Reporting
Reports To: [To be confirmed]
Role Overview
We are seeking a hands-on Business Analyst to turn complex operational and financial data into reliable reporting, actionable insights, and scalable workflows. You will own MIS and executive reporting, strengthen data quality, automate processes, and support AI model training and evaluation. This role combines strong analytical and technical skills with stakeholder management and team leadership to drive informed decisions and operational improvement.
Key Responsibilities
- Reporting & Insights: Own daily, weekly, and monthly MIS reports, dashboards, and executive summaries; translate trends, gaps, and risks into actionable recommendations.
- Business Performance: Track operational, financial, quality, productivity, and AI performance KPIs; support reviews, action planning, and continuous improvement.
- Automation & Data Pipelines: Build and improve reporting automation and data transformation workflows using advanced Excel, SQL, Python, or equivalent tools to reduce manual effort.
- Data Quality & Governance: Validate complex, multi-source datasets and spreadsheet conversions, preserving calculations, formulas, and source integrity. Maintain quality checks, SOPs, documentation, and data confidentiality.
- AI Operations: Prepare and validate operational datasets for AI training and evaluation; assess output accuracy, investigate errors, and support model and workflow improvements.
- Stakeholder Partnership: Gather business requirements, align data definitions with engineering, product, finance, and operations teams, and communicate insights clearly to leadership.
- Delivery & Team Leadership: Own reporting and data operations delivery, prioritize workloads, mentor analysts and data operators, and ensure accurate outputs within agreed timelines.
Required Skills & Experience
- 5-8+ years of experience in business analysis, MIS reporting, operations analytics, or AI/data operations, with ownership of business deliverables.
- Advanced Excel skills, including complex formulas, Pivot Tables, VLOOKUP/XLOOKUP, and multi-sheet data models; experience building management reports and dashboards.
- Hands-on experience with SQL and data extraction, plus Python, JavaScript/Google Apps Script, or equivalent tools for automation and data transformation.
- Ability to clean, reconcile, and validate large, unstructured, and multi-source datasets, with strong attention to data integrity.
- Practical understanding of AI, LLMs, and machine learning, with experience in model training, fine-tuning, or evaluation using operational data.
- At least 2 years of direct people management experience, including coaching, workload allocation, and delivery oversight.
- Strong analytical thinking, financial and commercial acumen, stakeholder management, and written and verbal communication; ability to manage competing priorities independently.
Preferred Experience
- Power BI, Tableau, or other data visualization tools.
- Insurance or customer service industry experience.
Ideal Candidate
A proactive, detail-oriented problem solver who combines business judgment with technical execution, takes ownership of outcomes, and builds reliable, scalable reporting and AI data operations.
Job Description
Role Purpose
The purpose of this role is to perform initial business analysis and create basic process documents in line with defined guidelines to assist team members in understanding client requirements and supporting early-stage analysis and documentation activities.
͏
Area of Responsibility
Business process analysis-Perform basic data analysis and prepare simple dashboards and reports as per defined guidelines.
Market research & benchmarking-Gather basic information from predefined sources to support in identifying alternate third party products.
Documentation-"Create drafts of process notes and workflow documents by following predefined formats and templates.
Assist in updating requirement logs maintained for clients, under the guidance of senior team members."
Revenue Growth-Assist in gathering clarifications and feedback on proposed RFP/RFI solutions.
͏
͏
͏
Business Analyst
Position Type: Full-Time
Department: Business Operations, AI Data Operations & Executive Reporting
Reports To: [To be confirmed]
Role Overview
We are seeking a hands-on Business Analyst to turn complex operational and financial data into reliable reporting, actionable insights, and scalable workflows. You will own MIS and executive reporting, strengthen data quality, automate processes, and support AI model training and evaluation. This role combines strong analytical and technical skills with stakeholder management and team leadership to drive informed decisions and operational improvement.
Key Responsibilities
- Reporting & Insights: Own daily, weekly, and monthly MIS reports, dashboards, and executive summaries; translate trends, gaps, and risks into actionable recommendations.
- Business Performance: Track operational, financial, quality, productivity, and AI performance KPIs; support reviews, action planning, and continuous improvement.
- Automation & Data Pipelines: Build and improve reporting automation and data transformation workflows using advanced Excel, SQL, Python, or equivalent tools to reduce manual effort.
- Data Quality & Governance: Validate complex, multi-source datasets and spreadsheet conversions, preserving calculations, formulas, and source integrity. Maintain quality checks, SOPs, documentation, and data confidentiality.
- AI Operations: Prepare and validate operational datasets for AI training and evaluation; assess output accuracy, investigate errors, and support model and workflow improvements.
- Stakeholder Partnership: Gather business requirements, align data definitions with engineering, product, finance, and operations teams, and communicate insights clearly to leadership.
- Delivery & Team Leadership: Own reporting and data operations delivery, prioritize workloads, mentor analysts and data operators, and ensure accurate outputs within agreed timelines.
Required Skills & Experience
- 5-8+ years of experience in business analysis, MIS reporting, operations analytics, or AI/data operations, with ownership of business deliverables.
- Advanced Excel skills, including complex formulas, Pivot Tables, VLOOKUP/XLOOKUP, and multi-sheet data models; experience building management reports and dashboards.
- Hands-on experience with SQL and data extraction, plus Python, JavaScript/Google Apps Script, or equivalent tools for automation and data transformation.
- Ability to clean, reconcile, and validate large, unstructured, and multi-source datasets, with strong attention to data integrity.
- Practical understanding of AI, LLMs, and machine learning, with experience in model training, fine-tuning, or evaluation using operational data.
- At least 2 years of direct people management experience, including coaching, workload allocation, and delivery oversight.
- Strong analytical thinking, financial and commercial acumen, stakeholder management, and written and verbal communication; ability to manage competing priorities independently.
Preferred Experience
- Power BI, Tableau, or other data visualization tools.
- Insurance or customer service industry experience.
Ideal Candidate
A proactive, detail-oriented problem solver who combines business judgment with technical execution, takes ownership of outcomes, and builds reliable, scalable reporting and AI data operations.