Data Analyst - Fresher

1 years

0 Lacs

Posted:7 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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

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