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Open nowFirst seen 47 hours ago

Senior Data Analyst

Bluebirdgroup25 open roles

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Your applicationOpen nowSenior Data AnalystBluebirdgroup

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Bluebirdgroup's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Bluebirdgroup postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 47 hours ago

Bluebirdgroup median: 1 days open

The posting

Job Description

  • Lead the design and implementation of data analytics projects that inform business decisions.
  • Translate business problems into data-driven solutions by identifying trends and anomalies.
  • 3 - 5 years of experience in data analyst, applied data science, and others related field.
  • Apply statistical techniques to validate hypotheses and support experimentation (e.g., A/B testing).
  • Conduct advanced analyses such as predictive modeling, churn analysis, and cohort analysis.
  • Build and maintain executive-level dashboards and reports to measure business performance.
  • Ensure data architecture and processes meet scalability and compliance requirements.
  • Collaborate with product managers, engineers, and business leaders to align analytics with strategic goals.

 Job Requirements

  • Bachelors degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related field.
  • A Masters degree or professional certification (e.g., Google Data Analytics, Microsoft Power BI, Tableau) is a plus.
  • Ability to translate complex data insights into clear, actionable business recommendations.
  • Strong stakeholder management and communication skills.
  • Solid proficiency in SQL for writing complex queries and managing databases.
  • Advanced data visualization skills using tools such as Tableau, QuickSight, Looker, or equivalent.
  • Proficiency in Python for statistical analysis and automation.
  • Experience with data warehousing and ETL processes is an advantage.
  • Understanding of big data frameworks (e.g., Spark, Hive) and data quality best practices.
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