Senior Data Analyst within Data team

İşin təsviri

Job description:

• Analyze Complex Data Sets: Conduct in-depth analysis of complex data to develop insights, strategies, and actionable recommendations that guide business decisions and enhance organizational performance.
• Lead Data Product Development: Drive the development and enhancement of data products, focusing on initiatives like Customer Lifetime Value (CLV) , Customer 360 etc, identifying and addressing inefficiencies and areas for improvement.
• Data Visualization and Reporting: Create and maintain comprehensive and interactive data visualizations, integrating multiple data sources to provide insightful and actionable reports for decision-making.
• Develop Predictive Models: Build and refine predictive models and machine-learning algorithms to accurately forecast future trends and market behaviors.
• Ensure Data Quality: Oversee data quality management, identify discrepancies, and implement measures to maintain data integrity and accuracy.
• Project Management: Lead and manage analytics projects, ensuring they adhere to timelines, budget constraints, and quality standards.
• Stakeholder Collaboration: Collaborate with management and different departments, aligning data initiatives with business needs and priorities, and translating complex data into understandable insights for various stakeholders.
• Promote Data-Driven Culture: Advocate for a culture of data literacy and evidence-based decision-making, educating and empowering other employees to effectively utilize data in their roles.
• Innovative Solutions and Continuous Improvement: Stay updated with the latest trends in data analytics and technology, proposing and implementing innovative solutions to advance data analytics practices.

Experience, Competencies and Skills Required:

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
• 10 years of overall work experience, at least 5 years of relevant industry experience.
• Demonstrated experience in data analytics, data mining, and statistical modeling. Ability to handle complex data sets and extract meaningful insights.
• Skilled in Big Data technologies such as Hive, Spark, other. Hands-on experience with Python and its analytics libraries is essential for effective data processing and analysis.
• Exceptional skills in data visualization tools like Tableau and Power BI. Ability to create intuitive, insightful visualizations that communicate complex data to non-technical stakeholders effectively.
• Profound knowledge and implementation experience with statistical methods and machine learning models, including decision tree models, k-means clustering, logistic regression, neural networks, random forest, and XGBoost.
• Experience with deep learning model development is highly advantageous, showcasing an ability to stay at the forefront of advanced analytics techniques.
• Excellent command of English is essential for effective communication in multinational environment. Knowledge of Russian and/or Azerbaijani is considered an advantage, facilitating smoother interactions in multilingual contexts.
• Capabilities in managing analytics use cases from conception through execution, demonstrating skills in planning, resource management, and timeline coordination.
• Adequate level of business sense o align data analytics with organizational objectives and strategies.
• Keen awareness of emerging technologies and trends in data science and analytics                            

How to apply:

Interested candidates are requested to submit:

• CV to e-mail;
• Put “Senior data analyst within Data team” in the subject line;
• CVs should be sent by April 19, 2024.

Attention: The candidates will go through initial CV screening review. Those candidates ONLY who succeeds based on CV screening will be contacted via email and/or phone and will be invited to interview.

İşəgötürənin reytinqi

PASHA Holding tərəfindən digər vakansiyalar

• Audit Meneceri
• Aparıcı Auditor
• Data engineer
• Senior Audit Specialist
• Data Governance Lead