Lead Consultant, Business Analyst

Lovelytics is a company that specializes in modernizing data and AI for enterprises across various industries. They are seeking a strategic Business Analyst to bridge the gap between business strategy and technical execution, helping clients realize value from their data and analytics investments.

Responsibilities:

• Partner with stakeholders to uncover business challenges, opportunities, decisions, and data needs
• Lead workshops and working sessions to gather and refine requirements
• Translate business needs into user stories, acceptance criteria, business rules, and reporting requirements that support solution design
• Act as the “bridge” between business leaders and technical teams ensuring alignment on objectives, timelines, and priorities
• Support technical design and data modeling sessions by ensuring business context, process requirements, and user needs are represented in solution decisions
• Partner with data modelers and engineers to analyze source systems, validate data definitions, document transformation requirements, and ensure source-to-target mappings accurately reflect business rules and stakeholder expectations
• Support UAT, testing, and data validation activities using SQL and other tools to verify business requirements, assess data quality, and ensure expected outcomes are achieved
• Analyze business processes, source data, and reporting outputs to identify gaps, inconsistencies, quality concerns, or opportunities for improvement and recommend actionable solutions
• Connect requirements and solutions to measurable business outcomes
• Help define KPIs, business processes, and success measures that enable value realization
• Support adoption through training, documentation, and stakeholder communications

Requirements:

• 5+ years of experience as a Business Analyst, Business Consultant, or similar role in data, analytics, or business transformation projects
• Strong understanding of how business processes translate into data and reporting needs (e.g., Sales, Marketing, Finance, Operations)
• Proven ability to connect business strategy to data and analytics solutions, driving measurable outcomes
• Strong SQL skills with the ability to analyze source data, validate business requirements, investigate data quality issues, and support testing and solution design
• Familiarity with modern data platforms (Databricks, Snowflake, Azure, GCP) and an understanding of data warehousing, lakehouse concepts, data modeling, ETL/ELT processes, and BI reporting environments
• Excellent communication and facilitation skills capable of engaging both executive and technical audiences