Data Analyst Fresher | ContraVault AI Bengaluru

ContraVault AI; Bengaluru; On-site; INR 600,000 - 800,000; Full time

Benefits offered by this job

Mentorship from engineering and product analytics teams

Learning budget and certifications support

Competitive compensation

Job summary

ContraVault AI is hiring an entry-level Data Analyst to join their team in Bengaluru. The role involves data preparation, analysis, and reporting to support product and operations teams. Candidates should have a Bachelor’s degree in a relevant field and proficiency in SQL and Excel/Google Sheets.

This position offers mentorship, a competitive compensation package, and opportunities for professional growth within a dynamic work environment.

Qualifications

• Proficient in SQL (joins, window functions, aggregates).
• Comfortable with Excel/Google Sheets (pivot tables, lookups).
• Basic data visualization using Tableau/Power BI/Looker/Data Studio.
• Good analytical thinking and communication.
• 0–1 years of experience (internships or projects count).

Responsibilities

• Clean, structure, and validate datasets from multiple sources.
• Run recurring and ad hoc analyses to answer business questions.
• Build dashboards and visualizations to track KPIs and trends.
• Monitor data integrity and troubleshoot anomalies.
• Maintain clear analysis notes and metrics definitions.
• Work with product, engineering, and customer teams.

Skills

SQL

Excel/Google Sheets

Data visualization (Tableau/Power BI/Looker/Data Studio)

Analytical thinking

Communication

Education

Bachelor’s in Engineering, Statistics, Mathematics, Economics, Computer Science, or related field

Tools

Python (Pandas/NumPy)

ETL

Job description

Here’s a concise entry-level Data Analyst JD tailored for ContraVault AI.

Data Analyst – Entry Level (On-site, Bengaluru)

Company:

ContraVault AI

Location:

Bengaluru, India

Employment Type:

Full-time

About ContraVault AI

ContraVault AI builds AI-powered solutions for tender and RFP analysis in the AEC industry, helping enterprises accelerate pre-bid workflows, ensure compliance, and make data-driven decisions.

Role Overview

You will support our product and operations teams by transforming raw data into clear insights. Expect hands‑on work with datasets, dashboards, and reports used daily by internal stakeholders and customers.

Responsibilities

• Data preparation: Clean, structure, and validate datasets from multiple sources.
• Analysis: Run recurring and ad hoc analyses to answer business questions.
• Reporting: Build dashboards and visualizations to track KPIs and trends.
• Quality checks: Monitor data integrity and troubleshoot anomalies.
• Documentation: Maintain clear analysis notes, metrics definitions, and SQL query repositories.
• Collaboration: Work with product, engineering, and customer teams to translate needs into metrics.

Must-have Qualifications

• Education: Bachelor’s in Engineering, Statistics, Mathematics, Economics, Computer Science, or related field.
• Proficient in SQL (joins, window functions, aggregates)
• Comfortable with Excel/Google Sheets (pivot tables, lookups)
• Basic data visualization using Tableau/Power BI/Looker/Data Studio
• Good analytical thinking and communication
• 0–1 years of experience (internships or projects count).

Good-to-have

• Experience with Python (Pandas/NumPy) for data wrangling.
• Familiarity with ETL concepts and APIs.
• Exposure to tenders/RFPs/AEC domain or interest in B2B SaaS analytics.
• Understanding of statistics basics (sampling, distributions, hypothesis testing).

What Success Looks Like (First 90 Days)

• Set up reliable recurring reports for core KPIs.
• Ship at least two dashboards used by product or operations weekly.
• Reduce manual data prep via reusable SQL/Python scripts.
• Propose one measurable improvement to a data pipeline or metric definition.

Benefits

• Impactful work with real-world data and enterprise workflows.
• Mentorship from engineering and product analytics teams.
• Learning budget and certifications support.
• Competitive compensation.