Business Intelligence Specialist

2 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 80,00,000 - ₹ 1,20,00,000
Data Analyst Role

We are seeking a skilled professional to play a key role in driving business decisions through data-driven insights.

Job Description:

  • This position involves maintaining and improving our internal data warehouse and reporting systems to ensure accurate and efficient data management.
  • The successful candidate will write optimized SQL queries to support reports, dashboards, and ad hoc analysis, utilizing their proficiency in SQL to optimize queries and data models.
  • Design and manage data pipelines to ensure high-quality data, meeting the needs of multiple departments.

Key Responsibilities:

  • BUILD engaging dashboards in Power BI and Looker Studio for product, marketing, and leadership teams, providing them with actionable insights to inform their strategies.
  • CREATE customizable templates and reports for product funnels, cohorts, and revenue tracking, empowering teams to make data-informed decisions.

Required Skills & Experience:

  • A minimum of 3 years of experience in data analytics, business intelligence, or a related field in a B2B SaaS company.
  • Proficiency in SQL, with a proven track record of optimizing queries and data models.
  • Experience working with Power BI, Looker Studio, or similar business intelligence tools.
  • Familiarity with Mixpanel, Amplitude, or other product analytics platforms.
  • Strong understanding of campaign tracking and attribution principles.
  • Excellent communication skills, with the ability to distill complex data insights into actionable recommendations.

Benefits:

  • Familiarity with BigQuery, dbt, or Snowflake, with experience in managing large datasets.
  • Experience working in SaaS environments using product-led growth (PLG) or freemium models.
  • Comfortable working in fast-paced, startup-style teams, with a willingness to adapt to changing priorities.

Cross-Team Collaboration:

  • Work closely with product, marketing, and customer success teams to define data needs and develop solutions that meet those needs.
  • Build guides and tools that empower others to access and understand data, promoting a data-driven culture across the organization.

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