Data Analyst - Revenue Ops

Round 1: Online aptitude & logical reasoning test → Round 2: Technical interview (SQL/Python & case study) → Round 3: HR interview (culture fit, compensation discussion)

Arcadia promotes a remote‑first culture with a focus on flexibility, continuous learning, and work‑life balance. Employees enjoy transparent growth paths, mentorship programs, and a collaborative environment that values diverse perspectives.

Arcadia’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL queries, data manipulation in Python, and case‑study discussions around energy billing scenarios. The final HR round assesses cultural fit and discusses compensation. Candidates report a moderate difficulty level and recommend practicing real‑world data problems and reviewing energy‑sector basics.

Graduates (B.Tech/B.E., B.Sc., B.Com, MBA) in Computer Science, Information Technology, Statistics, Economics, Finance or related fields; minimum 60% aggregate (or CGPA 6.0/10); batch year 2025‑2027; no active backlogs; strong analytical and communication skills; willingness to work remotely in the US time zones.

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, Arcadia enables Fortune 2000 companies to automate the entire utility bill lifecycle, leverage data‑driven procurement strategies, and integrate verified emissions data into leading sustainability solutions. The company’s mission is to simplify energy management, drive cost savings, mitigate risk, and accelerate the transition to a low‑carbon future. With a strong focus on innovation, Arcadia combines large‑scale data aggregation, advanced analytics, and expert advisory to deliver measurable business value across thousands of locations worldwide. The Data Analyst – Revenue Ops role sits within the Revenue Operations team and is responsible for turning raw energy and billing data into actionable insights for customers and internal stakeholders. The analyst will work closely with product, engineering, finance, and customer success teams to ensure data accuracy, build reporting pipelines, and support decision‑making that improves revenue performance and customer satisfaction. This position is ideal for recent graduates who are comfortable with Excel, have a knack for SQL or Python, and are eager to learn the nuances of the energy‑billing domain. Key Responsibilities: 1. Gather, cleanse, and validate utility billing data from multiple sources to ensure high‑quality datasets. 2. Build and maintain automated reporting dashboards using Excel, Power BI or similar tools. 3. Write and optimize SQL queries to extract, transform, and load data for revenue analysis. 4. Collaborate with cross‑functional teams to define data requirements and translate business questions into analytical solutions. 5. Monitor key performance indicators (KPIs) related to revenue, billing accuracy, and customer onboarding timelines. 6. Identify data anomalies, troubleshoot issues, and coordinate escalations with engineering or operations as needed. 7. Prepare regular performance reports and ad‑hoc analyses for senior leadership and external customers. 8. Contribute to process improvement initiatives by documenting workflows and recommending automation opportunities. 9. Support the development of predictive models for revenue forecasting using Python or R (optional but advantageous). 10. Participate in customer calls to explain data insights and gather feedback for continuous improvement. Tech Stack: MS Excel (advanced pivots, formulas), SQL (PostgreSQL/MySQL), Python (pandas, numpy), Power BI/Tableau, Git for version control, and familiarity with cloud data warehouses (Snowflake, BigQuery) is a plus. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Revenue Operations Manager, or specialize into Data Engineering or Business Intelligence roles within Arcadia’s fast‑growing analytics organization. Why Join Arcadia? The company offers a remote‑first culture that lets you work from anywhere in the continental US, flexible PTO, comprehensive health benefits, and a strong emphasis on diversity and inclusion. Employees gain exposure to cutting‑edge AI‑driven energy solutions, work alongside industry experts, and have clear pathways for professional development and leadership. Overall, this role provides a unique blend of data analytics, energy industry exposure, and a supportive, growth‑focused environment that is perfect for ambitious freshers looking to launch their careers in a high‑impact tech company.