Data Analyst

2 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

📊

Data Analyst

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🌐

About the Role

Data Analyst

In this role, you’ll work across multiple systems and datasets to create actionable insights, build automated reports, and help drive smarter decisions across the business.

AI-driven data intelligence



🔧

Responsibilities of the Candidate

  • Build, maintain, and optimize

    data pipelines

    connecting internal databases and external sources
  • Write efficient

    SQL queries

    to clean, validate, and transform large datasets for reporting and AI integrations
  • Map data elements between systems, ensuring

    accuracy, consistency, and traceability

  • Translate complex business questions (e.g. “Who are my best suppliers?”, “Who owes me money?”, “Where am I losing efficiency?”) into

    data-driven insights

  • Design

    dashboards, data models, and queries

    to deliver meaningful insights to internal and external teams
  • Build

    automated reports

    that blend structured data with templates for streamlined intelligence delivery
  • Collaborate with

    Customer Success, Product, and Engineering

    teams to translate business needs into data solutions
  • Act as a

    primary data contact

    for customer-facing teams, ensuring insights are timely and accurate
  • Define and monitor

    data quality thresholds

    , implementing validation and reconciliation procedures
  • Identify opportunities to

    automate reports, workflows, and QA processes

  • Investigate, troubleshoot, and document

    root causes for data issues

    to ensure continuous improvement
  • Maintain

    clear documentation

    for data models, mappings, and operations
  • Share best practices, tools, and insights to

    elevate data culture

    across the organization

  • 🎯

    Requirements

    • 2+ years of experience in

      data management, analytics, or operations

    • Bachelor’s degree in

      Computer Science, Engineering, or Data-related fields

      (Master’s preferred but not required)
    • Advanced proficiency in

      SQL

      and

      Excel/VBA

    • Working knowledge of

      Python

      for data manipulation and automation (preferred)
    • Familiarity with

      JSON, HTML

      , and various

      data formats

    • Strong skills in

      data analysis, process optimization, and reporting automation

    • Excellent communication skills with the ability to explain findings to both

      technical and non-technical stakeholders

    • Note:

      This job is shared through a

      referral partnership

      . All links are

      safe, genuine, and verified

      — we never post fake listings or charge any fees. ✅

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