Tiger Analytics is looking for experienced Lead Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a Lead Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making. This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment. Key Responsibilities - Partner with business stakeholders to understand and translate business needs into solution requirements. - Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources. - Use Python for data processing, automation, and analytics. - Work with AWS /GCP/ Azure cloud services to manage and analyze data in cloud environments. - Perform data validation, quality checks, and troubleshooting for data pipelines. - Build reports, dashboards, and insights to support business decisions. - Facilitate large stakeholder groups and manage the complete requirements lifecycle. - Conduct structured analysis using both quantitative and qualitative techniques. - Profile data manually and document transformation logic and rules. - Produce clear and concise Source to Target Mapping Documents with detailed Data Mapping Requirements. - Collaborate effectively within an Agile environment. - Collaborate with data engineers, analysts, and business stakeholders to understand requirements. - Ensure data accuracy, consistency, and governance across systems.

Tiger Analytics is looking for experienced Lead Data Analyst to join our fast-growing advanced analytics consulting firm. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a Lead Data Analyst with strong experience in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will have hands-on experience working with SQL, data analysis, and consulting, and performing data analysis to support business insights and decision-making. This role requires someone who is comfortable working with large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced environment. Key Responsibilities - Partner with business stakeholders to understand and translate business needs into solution requirements. - Write efficient SQL queries to extract, manipulate, and analyze data from multiple sources. - Use Python for data processing, automation, and analytics. - Work with AWS /GCP/ Azure cloud services to manage and analyze data in cloud environments. - Perform data validation, quality checks, and troubleshooting for data pipelines. - Build reports, dashboards, and insights to support business decisions. - Facilitate large stakeholder groups and manage the complete requirements lifecycle. - Conduct structured analysis using both quantitative and qualitative techniques. - Profile data manually and document transformation logic and rules. - Produce clear and concise Source to Target Mapping Documents with detailed Data Mapping Requirements. - Collaborate effectively within an Agile environment. - Collaborate with data engineers, analysts, and business stakeholders to understand requirements. - Ensure data accuracy, consistency, and governance across systems.

• Establish and maintain a consistent "Source of Truth" for all company data • Develop and optimize BI dashboards (Power BI preferred) • Implement and manage tracking solutions (Google Tag Manager, CDPs) • Analyze complex datasets and derive actionable insights • Work closely with product and marketing teams to enable data-driven decisions

OVERVIEW We are seeking a Generative AI Analyst to support a high-impact machine learning project. This role focuses on creating high-quality prompts and responses across diverse topics and leading labeling initiatives with internal and external partners. The ideal candidate is a strong communicator with native-level U.S. English, experienced in working with data and comfortable training teams on best practices for LLM development. This position is fully remote and suited for someone motivated to work with cutting-edge AI technologies. Project Details Job Title: Generative AI Analyst Location: Remote Hours: 40 hours weekly Language: English (US) Start date: April 2026 Employment Type: Full-time W-2 employee with benefits – 5 days a week Pay rate: $27.38/hour If you reside in California, please apply to the California-specific posting for the applicable rate Must have valid work authorization in the US (Welo Data does not sponsor VISAs at this time). Key Responsibilities - Creatively writing prompts and responses to a variety of diverse topics - Perform LLM annotation and evaluation tasks (ranking, scoring, labeling, tagging) - Evaluate model outputs for accuracy, relevance, and instruction-following - Identify and document issues such as hallucinations and inconsistencies - Participating in and/or supporting labeling workflows, including hands-on annotation and collaboration with internal or external teams - Training teams on best practices for creating Large Language Models/Data sets Requirements - Hands-on experience performing data annotation or evaluation tasks (e.g., labeling, ranking, scoring, or tagging LLM outputs) - Native or near-native English with excellent writing skills - Strong attention to detail and ability to follow guidelines consistently - Self-driven, motivated and enthusiastic to work on state-of-art machine learning tools - 4 year Accredited College degree or equivalent experience Ways to stand out from the crowd: - College Degree or experience in Linguistics, English Literature, Creative Writing, Journalism, and domain knowledge (Law/Medical/Math/Coding/etc.) - Experience working in annotation platforms or structured labeling environments is a plus - Deep understanding of Large Language Models/RLHF - Experience in labeling/tagging of frames/tasks/prompts to prepare for DNN - QA/testing experience Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.