L2 Data Analyst (Data Science Track) ROLE DETAILS Level:     L2 — Data Analyst Location:  India (remote/hybrid) ──────────────────────────────────────────────── Who We Are Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale. Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon.   We deliver this through three comprehensive solutions: Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing. Energy Procurement Advisory: Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. . Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms. Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value. ABOUT THE ROLE We're looking for an L2 Data Analyst for our India-based Applied AI team. This is an opportunity for someone who has demonstrated the ability to work with data, write code, and solve analytical problems — and is ready to deepen their expertise on the data science track. The ideal candidate has some background in statistics and machine learning techniques. Our team builds AI-powered solutions across Arcadia's utility data platform, with a focus on utility bill acquisition, document processing, and data quality. In this role, you'll work alongside product managers and data scientists to support experimentation, data analysis, automation, and product development — gaining hands-on exposure to ML/AI workflows while driving real impact through rigorous analytical work. ──────────────────────────────────────────────── WHAT YOU'LL DO Contribute to the data layer for AI workflows — design, optimize, and maintain SQL queries in Snowflake to build sample datasets, power reporting, and support testing across our utility data platform. Write production-quality Python — develop and maintain scripts for data transformation, pipeline automation, and validation, with an emphasis on code that's clean, scalable, and reproducible. Build the foundation for evaluation workflows — curate evaluation datasets, define performance metrics, and create repeatable benchmarking frameworks that help the team measure and compare model quality. Dig into the data before anyone else does — run exploratory analysis and data profiling to surface quality issues (missing values, duplicates, anomalies) and flag what matters for downstream work before it becomes a problem. Be the analytical right hand to Product Managers / Data Scientists — support model development, experimentation, root-cause investigations, and ad hoc deep dives, picking up context quickly and delivering reliable answers. Make your work easy to build on — document analyses, methodologies, and findings clearly so they're reproducible, reviewable, and useful to the next person who picks them up. Get early exposure to ML/AI in production — support the development and evaluation of ML and AI-powered data pipelines, learning how models move from prototype to product.   ──────────────────────────────────────────────── WHAT WE'RE LOOKING FOR 2–3 years of experience in data analytics, business analytics, data science, statistics, or a related field. Strong Python programming skills, with experience developing clean, maintainable scripts for data processing, automation, and analysis. Strong SQL skills, with proficiency in joins, aggregations, window functions, common table expressions (CTEs), and query optimization. Experience working with large datasets and preparing high-quality data for analysis through data cleaning, transformation, validation, standardization, and investigation of data quality issues such as missing values, duplicates, inconsistencies, and anomalies. Solid understanding of exploratory data analysis (EDA), descriptive statistics, and basic experimental design and evaluation. Curious, detail-oriented approach to data — asks "why does this look wrong?" before assuming it's right. Strong verbal and written communication skills, with the ability to present analytical findings clearly to both technical and non-technical stakeholders through presentations, reports, visualizations, and well-structured documentation. Ability to work independently on well-defined tasks while collaborating effectively with senior team members. Demonstrated interest in machine learning, NLP, or Generative AI, with a willingness to learn and apply these technologies, is a plus. Benefits: Competitive compensation based on market standards  We are working on a hybrid model with remote first policy Apart from Fixed Base Salary potential candidates are eligible for following benefits Flexible Leave Policy Office located in the heart of the city in case you need to step in for any purpose We provide comprehensive coverage including accident policy and life insurance. Medical Insurance (1+5 Family Members) Flexible Benefit Plan Awards and Bonus Annual performance cycle Quarterly engagement activities A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency Eliminating carbon footprints, eliminating carbon copies. Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law.    Thank you