Data Analyst

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Precize

Precize is a cutting-edge alternative investment platform that unlocks access to pre-IPO shares and global trade finance opportunities.

We envision a future where investing in private markets is as seamless as trading in public markets—creating an open, borderless environment beyond traditional investing in India.

As a gateway to private equity and private credit opportunities, Precize empowers investors of all levels to discover and invest in high-potential opportunities securely online.


About the Role – Data Analyst

Data Analyst

SQL and Excel

You will work closely with cross-functional teams—including product, operations, and finance—to ensure data accuracy, generate reports, and support decision-making across the organization.


Responsibilities

  • Extract, clean, and analyze data using

    SQL

    and other internal tools.
  • Build and maintain dashboards and reports using any

    Business Intelligence (BI) tool

    (Power BI, Tableau, Looker, etc.).
  • Support data-driven decision-making by identifying trends, patterns, and insights.
  • Maintain data quality by performing routine checks, validations, and reconciliations.
  • Assist in automating recurring reports and improving data workflows.
  • Collaborate with operations, finance, and product teams to provide analytical support.
  • Track key business metrics and generate daily/weekly/monthly reports.
  • Support ad-hoc data requests and analytical deep-dives.
  • Document datasets, reporting processes, and data definitions for internal use.


Qualifications

  • Bachelor’s or Master’s degree in Data Science, Engineering, Statistics, Economics, Commerce, or any quantitative field.
  • SQL proficiency is mandatory

    .
  • Strong Excel skills

    (VLOOKUP/XLOOKUP, Pivot Tables, formulas, basic automation).
  • Experience with any

    BI tool

    (Power BI, Tableau, Looker, Metabase, etc.).
  • Good understanding of basic data analysis concepts.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work in a fast-paced environment and handle multiple tasks.
  • Good communication and documentation skills.

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