Data & Analytics Specialist | 5+years

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Data & Analytics Specialist


Key Responsibilities

  • Partner with business stakeholders to capture requirements and translate them into actionable analytics solutions.
  • Conduct interviews/workshops to define data and reporting needs.
  • Build and maintain interactive

    dashboards, metrics, and reports

    using Power BI, Tableau, Qlik, or Dash Enterprise.
  • Develop

    user-friendly analytics tools

    that support business operations and strategy.
  • Analyze complex datasets to identify

    trends, correlations, and actionable insights

    .
  • Use

    Python, SQL, or R

    for statistical modeling, automation, and advanced analytics.
  • Design and manage

    data pipelines and transformations

    using ETL frameworks (e.g., Cloud Composer on GCP).
  • Work closely with Data Engineering teams to ensure

    data accuracy, availability, and performance

    .
  • Improve existing

    analytics techniques, visualization approaches, and adoption strategies

    .
  • Define and implement new

    KPIs and metrics

    aligned with business goals.
  • Collaborate with

    Data Science, Engineering, and IT teams

    to integrate analytics into broader ecosystems.


Required Skills & Experience


  • 5+ years

    in data analytics, BI development, or data engineering.
  • Strong proficiency in:
  • Power BI

  • Google Cloud Platform (GCP) & BigQuery

  • Data modeling & ETL processes

  • Python

    (analysis, automation, scripting)
  • Expertise in

    SQL

    for querying and analysis.
  • Proven ability to

    translate business needs into technical solutions

    .


Preferred Skills

  • Experience with:
  • Cloud SQL

  • Cloud Composer (Airflow on GCP)

  • Familiarity with Tableau, Qlik, or Dash Enterprise.


Education

  • Bachelor’s Degree in

    Computer Science, Information Systems, Data Analytics, Statistics, Engineering

    , or related field.


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