Data Analyst - Fresher

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

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

Company:

Location:

Employment Type:

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.

• Skills:

• 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.

How to Apply

Share your resume, portfolio or GitHub, and one brief paragraph about a data project you’ve done.

SQL, Excel/Sheets, Tableau/Power BI, Python (Pandas), Data Visualization, ETL, Statistics