Jr. Data Analyst

Rezo.ai’s interview process typically starts with a timed online aptitude and SQL test, followed by a technical interview where candidates solve real‑world data extraction and visualization scenarios. The final HR round assesses cultural fit and motivation. Overall difficulty is moderate; thorough preparation on SQL joins, Power BI visuals and Excel functions greatly improves chances.

Rezo.ai promotes a collaborative and fast‑paced work culture where ideas are welcomed and ownership is encouraged. Employees benefit from regular learning sessions, flexible work hours and a focus on work‑life balance, making it an attractive place for fresh talent to grow.

Graduates with B.Tech/B.E. or B.Sc. in Computer Science, Information Technology, Electronics, Statistics or related fields. Minimum 60% aggregate (or CGPA 6.0/10). Eligible batches: 2022‑2025. No active backlogs at the time of joining. Freshers with strong technical projects or internships are encouraged to apply.

Round 1: Online aptitude & SQL test → Round 2: Technical interview (SQL, Power BI, Excel case study) → Round 3: HR interview (cultural fit, career aspirations)

Rezo.ai is an emerging artificial‑intelligence startup focused on building conversational platforms that automate customer interactions across voice, chat and messaging channels. Founded by a team of ex‑tech giants, the company leverages natural language processing, speech analytics and real‑time data pipelines to help enterprises improve operational efficiency and customer satisfaction. With its headquarters in Noida and a rapidly expanding client base in fintech, e‑commerce and telecom, Rezo.ai offers a vibrant environment where fresh talent can contribute to cutting‑edge products while learning from seasoned data engineers and product managers. The Jr. Data Analyst role is designed for recent graduates or early‑career professionals who have a strong foundation in data manipulation, reporting and visualization. Reporting to the Lead Data Analyst, you will work closely with product, operations and engineering teams to turn raw operational logs into actionable insights. Your day‑to‑day activities will involve writing efficient SQL queries, cleaning and aggregating large datasets, building interactive Power BI dashboards, and performing ad‑hoc analysis using advanced Excel techniques. You will also be responsible for ensuring data quality before reports are shared with stakeholders and for translating business questions into technical specifications. Key responsibilities include: 1. Write, run, and optimize SQL queries to extract, transform, and load data from relational databases. 2. Design, develop, and maintain Power BI dashboards that visualize key performance indicators and operational metrics. 3. Perform operational analysis on call logs, messaging volumes, and other interaction datasets to identify usage trends and anomalies. 4. Conduct quick, data‑driven deep dives using Advanced Excel (PivotTables, Power Query, complex formulas) to answer immediate business queries. 5. Validate data accuracy and consistency before publishing reports. 6. Collaborate with cross‑functional teams to gather requirements and translate them into analytical solutions. 7. Document data pipelines, reporting logic, and dashboard specifications for future reference. 8. Monitor data pipelines for failures and work with engineering to resolve issues. 9. Assist in creating data dictionaries and metadata documentation. 10. Participate in regular knowledge‑sharing sessions to upskill the analytics team. Tech stack: SQL (MySQL/PostgreSQL), Power BI, Microsoft Excel (advanced), basic Python for data cleaning (optional), Git for version control. The role offers a clear growth path – starting as a Junior Analyst, progressing to Data Analyst, Senior Analyst, and eventually to Data Scientist or Analytics Manager based on performance and skill acquisition. Joining Rezo.ai provides exposure to AI‑driven products, mentorship from industry veterans, and the chance to impact real‑world business decisions from day one.