Senior Data Analyst

Purpose

Do you have a passion for storytelling? Do you thrive in a collaborative team environment? Are you ready to work in a fast-paced environment with various stakeholders at all seniority levels to deliver impactful insights and excel in data analytics as a professional?

If yes, you can be our team member.

We are looking for a creative professional who can turn data into meaningful stories that both experts and non-experts can easily understand. If this sounds like you, heres an opportunity to join a team with a strong commitment to delivering high-quality BI solutions. Youll be instrumental in supporting partner organizations and businesses by managing all aspects of data analytics, from data collection and cleaning to analysis, visualization, modeling, interpretation, and forecasting.

To be successful in this role you should be open to learn about different domains while working with stakeholders and large amounts of data.

Requirements

• A bachelors degree in computer science, mathematics, or a similar area of study is preferred.
• 5+ years of professional experience, 3+ years of experience as a Data Analyst or in a similar analytical role.

• 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.