Data Analyst - Revenue Ops

Arcadia’s interview process typically starts with a timed online assessment testing quantitative aptitude and basic SQL/Python coding. Successful candidates move to a technical interview where they solve data‑modeling case studies, discuss ETL pipelines, and demonstrate analytical thinking. The final HR round assesses cultural fit, communication skills, and motivation. Overall difficulty is moderate; thorough preparation on data manipulation and business analytics helps.

Arcadia fosters a remote‑first, inclusive environment where employees enjoy flexible PTO, generous health benefits, and a strong emphasis on work‑life balance. The company encourages continuous learning, offering professional development days and mentorship programs to accelerate career growth.

Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, Finance, Economics or related field; Minimum 60% aggregate (or CGPA 6.0/10); Fresh graduates or up to 1 year of experience; No active backlogs; Batch years 2024‑2026 preferred; Strong analytical mindset and proficiency in Excel, SQL and Python.

Round 1: Online assessment (aptitude + SQL/Python coding) → Round 2: Technical interview (data modeling, case studies) → Round 3: HR interview (cultural fit, motivations)

Arcadia is an AI‑powered energy intelligence platform that helps enterprises manage utility bills, procure energy, and report sustainability metrics on a single, unified platform. By replacing fragmented tools and manual workflows with intelligent automation, Arcadia enables Fortune 2000 companies to reduce costs, mitigate risk, and lower carbon footprints at scale. The company’s three core solutions – Utility Bill Management, Energy Procurement Advisory, and Sustainability Reporting – combine massive data ingestion, advanced analytics, and expert advisory to turn complex energy data into actionable business value. The organization prides itself on a "remote‑first" culture, encouraging employees to work from anywhere in the continental US while maintaining a collaborative, inclusive environment. Diversity, equity, and inclusion are woven into Arcadia’s DNA, with a strong commitment to equal opportunity and reasonable accommodations for candidates with disabilities. Benefits such as flexible PTO, extensive parental leave, and high employer‑covered medical plans underscore its employee‑first philosophy. **Role Summary** As a Data Analyst in the Revenue Operations team, you will own the end‑to‑end lifecycle of energy data that powers billing, revenue recognition, and customer reporting. You will work closely with product, engineering, finance, and customer success teams to ensure data accuracy, build automated reporting pipelines, and translate business requirements into technical solutions. The role demands strong analytical thinking, excellent communication, and hands‑on expertise with Excel, SQL, and Python. **Key Responsibilities** 1. Gather, cleanse, and validate large volumes of utility and billing data from diverse sources. 2. Develop and maintain automated dashboards and reports using Excel pivots, PowerBI or Tableau. 3. Write efficient SQL queries and Python scripts to extract, transform, and load (ETL) data for revenue operations. 4. Collaborate with cross‑functional teams to define data requirements and ensure alignment with customer onboarding processes. 5. Track key performance indicators (KPIs) related to revenue, billing accuracy, and customer satisfaction. 6. Identify data anomalies, troubleshoot escalations, and implement corrective actions promptly. 7. Document data workflows, standard operating procedures, and best practices for knowledge sharing. 8. Support ad‑hoc analysis for finance, sales, and product teams to drive strategic decisions. 9. Participate in continuous improvement initiatives to enhance data quality and reporting efficiency. 10. Mentor junior analysts and assist in task delegation within the team. **Tech Stack**: MS Excel (advanced pivots, formulas), SQL (MySQL/PostgreSQL), Python (pandas, NumPy), data visualization tools (PowerBI/Tableau), basic knowledge of cloud data warehouses (Snowflake/Redshift) is a plus. **Growth Path**: Starting as a Data Analyst, high performers can progress to Senior Analyst, Data Engineer, or Product Analytics Manager roles, with exposure to AI‑driven analytics and strategic decision‑making across the organization. **Why Join Arcadia?** Arcadia offers a fast‑growing environment where fresh talent can make a tangible impact on the global energy transition. The blend of cutting‑edge technology, a supportive remote‑first culture, and a clear focus on professional development makes it an ideal launchpad for ambitious analysts seeking to shape the future of sustainable energy.