Senior Data Analyst

İşin təsviri

Requirements

  • A bachelors degree in computer science, mathematics, or a similar area of study is preferred. 
  • Demonstrated ability in Data mining working with large relational databases; strong proficiency in SQL for querying and managing large datasets
  • Proficiency in PowerBI (Tableau or similar BI tools) for dashboard creation, BI documentation management, and reporting.
  • Proficiency in Python for data analytics and automation.
  • Solid understanding of statistics and business analytics principles.
  • Proven experience creating and managing Enterprise level dashboards, or dashboards with various stakeholders.
  • Ability to simplify complex analyses into actionable insights and present them effectively.
  • Strong problem-solving skills and ability to work efficiently in a fast-paced environment.
  • Experience in conducting business analysis to capture requirements from non-technical partners.
  • Proficiency in Azerbaijani, English. Knowledge of Russian is an asset

Responsibilities

  • Analyze large, complex datasets and deliver actionable insights to support business decisions.
  • Apply advanced statistical and mathematical methods to ensure accurate and meaningful analysis.
  • Collaborate with stakeholders to translate business objectives into data-driven solutions.
  • Work closely with BAs, SMEs and other stakeholders to understand business logic and align analysis with targeted KPIs.
  • Extract, transform and load data from different data sources to tools used for analysis and visualization. Use SQL and Python interchangeably to wrangle and clean data effectively.
  • Create, manage, and maintain Business Intelligence (BI) documents such as reports, dashboards, and analytical summaries.
  • Develop and manage dashboards and reports using tools like PowerBI, Tableau ensuring data is easy to interpret and visualize.
  • Support junior analysts with challenges related to SQL, Python, and dashboarding tools, offering mentorship when needed.
  • Present data findings and recommendations clearly to non-technical audiences, ensuring insights drive strategic decisions.

Candidate profile:

  • 5+ years of professional experience, 3+ years of experience in large set (bank, telecom, retail company, statistic, market data, tax, government, exp in satisfied in different requirements with data
  • Didn’t ask stupid questions 
  • Age profile:.max 30 years

Priority of soft skills:

  • Willingness to coach, share learning
  • Good listening skills, good empathy skills 

Azerbaijani; English; Russian preferrable not must

 

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