
501 - 1000 employees
💼 Consulting
🤖 Artificial Intelligence
🏢 Enterprise
💰 Series unknown on 2023-07
Consulting • Artificial Intelligence • Enterprise
Lovelytics is a data and AI consultancy that helps large enterprises turn data and AI initiatives into measurable business outcomes. Focused 100% on data and AI, the firm offers services including data strategy and advisory, data engineering, data governance and migrations, analytics and visualization, generative AI and ML (including LLMOps and MLOps), and cloud migration/modernization. Lovelytics works with Fortune 500 clients across industries such as energy & utilities, retail/CPG & travel, manufacturing, healthcare & life sciences, communications/media/entertainment & gaming, and financial services, and partners with major platform providers like Databricks, AWS, Microsoft Azure, Google Cloud, and Anthropic.
🔥 46 minutes ago
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501 - 1000 employees
💼 Consulting
🤖 Artificial Intelligence
🏢 Enterprise
💰 Series unknown on 2023-07
Consulting • Artificial Intelligence • Enterprise
Lovelytics is a data and AI consultancy that helps large enterprises turn data and AI initiatives into measurable business outcomes. Focused 100% on data and AI, the firm offers services including data strategy and advisory, data engineering, data governance and migrations, analytics and visualization, generative AI and ML (including LLMOps and MLOps), and cloud migration/modernization. Lovelytics works with Fortune 500 clients across industries such as energy & utilities, retail/CPG & travel, manufacturing, healthcare & life sciences, communications/media/entertainment & gaming, and financial services, and partners with major platform providers like Databricks, AWS, Microsoft Azure, Google Cloud, and Anthropic.
• 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.
• 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.
• Exciting projects with great clients in varying departments and verticals across the world • The ability to work closely with experienced data engineers and quickly grow and expand your skillset • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better
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