Junior Data Analyst

Rezo.ai · Conversational AI · AI Agents · SQL · Power BI · Microsoft Excel · 1 day ago

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Salary

≈ $7.5k – $17k per year (Estimated)

Location

In office (Noida)

Seniority

Junior · 1+ year exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 27, 2026.

Overview

Company

Impact

Profile match

Rezo.ai

Rezo.ai is an enterprise software company that builds an agentic AI platform for customer experience. Its products range from autonomous voice bots to intelligent quality assurance, helping enterprises reduce customer effort, speed up resolutions and gain insight across the customer journey. The company is headquartered in Noida, India.

rezo.ai · HQ: Noida, India · Call Center Services · AI Agents · Conversational AI · 51-200 employees · Est. 2018

Tech stack of Rezo.ai

Role Summary We are seeking a detail-oriented Data Analyst to join our team. In this role, you will transform raw data into actionable insights, supporting day-to-day data operations and executive reporting. You will query relational databases, build dynamic dashboards, and perform ad-hoc analyses to answer critical business questions.

Key

Responsibilities

Database Management & SQL: Write, run, and optimize SQL queries to extract, aggregate, and clean data from relational databases.
Dashboarding & BI: Design and maintain interactive Power BI dashboards to track key performance indicators (KPIs) and operational metrics.
Operational Analysis: Analyze operational datasets - including call logs, messaging interaction volumes - to ensure accurate reporting and track usage trends.
Ad-Hoc Analysis: Conduct quick, data-driven deep dives using Advanced Excel (PivotTables, Power Query, complex formulas) to resolve immediate operational queries.
Data Quality & Collaboration: Validate data accuracy before publishing reports and collaborate with team members to translate business requirements into technical data solutions.

Requirements Required Skills &

Qualifications

Experience: 1 to 2 years in a data analyst or business intelligence role (or freshers with strong technical project).
SQL: Proficiency in writing queries using joins, aggregations, conditional logic, and subqueries/window functions.
Power BI: Hands-on experience building reports, managing relationships in data models, and writing basic DAX measures.
Excel: Advanced proficiency in Excel (XLOOKUP/INDEX MATCH, PivotTables, formatting, data manipulation).

• Problem-Solving: Strong analytical mindset with a high attention to detail.

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