Business Intelligence Analyst

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position Overview:

The Business Intelligence Analyst is responsible for transforming data into actionable insights that drive business decisions. This role involves gathering requirements, analyzing complex datasets, building dashboards, and collaborating with cross-functional teams to optimize performance and strategy across the organization.

Key Responsibilities:

  • Collect, analyze, and interpret large datasets to support business goals and KPIs.
  • Develop and maintain

    BI dashboards and reports

    using tools such as

    Power BI, Tableau, or QlikView

    .
  • Collaborate with stakeholders to identify data-driven opportunities and performance improvements.
  • Translate business needs into technical requirements for data models and reporting systems.
  • Design and optimize

    SQL queries

    for data extraction, transformation, and analysis.
  • Conduct

    trend, variance, and predictive analyses

    to support strategic planning.
  • Ensure

    data accuracy, consistency, and quality

    across systems.
  • Provide

    ad-hoc analysis

    and support decision-making for senior management.
  • Automate recurring reports and optimize data pipelines for efficiency.
  • Stay updated on BI trends, technologies, and best practices.

Required Skills & Qualifications:

  • Bachelor’s degree in

    Data Analytics, Computer Science, Statistics, Economics, or related field

    .
  • Proficiency in

    BI tools

    (Power BI, Tableau, Looker, or Qlik).
  • Strong command of

    SQL

    and familiarity with

    data warehousing concepts (ETL, OLAP, etc.)

    .
  • Solid understanding of

    Excel (Pivot Tables, Power Query, VBA)

    .
  • Experience with

    data visualization, storytelling, and dashboard design

    .
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to translate complex data into clear, actionable insights.

Preferred Qualifications:

  • Experience with

    Python/R

    for data analysis and automation.
  • Knowledge of

    cloud data platforms

    (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
  • Familiarity with

    business processes

    in domains like finance, sales, marketing, or operations.
  • Professional certifications such as

    Microsoft Certified: Data Analyst Associate

    or

    Tableau Desktop Specialist

    .

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