Business Intelligence Data Analyst

Zeal Group is one of the leading trading platforms with a focus on developing markets and great plans for international expansion.

At the heart of our company's data-driven strategy lies our Business Intelligence team, a specialized group dedicated to the art and science of data analysis. Our team is the backbone in transforming raw data into a treasure trove of insights, guiding the strategic direction of the company. With a laser focus on identifying and building key indicators for crucial areas within the organization, we strive to help key stakeholders in strategic decision-making.

We are a compact team of data analysts and BI engineers, each with a deep understanding of how data shapes business outcomes. Our expertise spans across various domains, enabling us to craft bespoke analytical solutions that meet the unique needs of different departments. From sales and marketing to operations and finance, our work informs strategies, optimizes performance, and uncovers opportunities for growth and innovation.

In our pursuit of excellence, we leverage cutting-edge BI tools and technologies, ensuring our stakeholders access reliable, timely, and actionable data. Our collaborative ethos fosters a culture of shared knowledge and continuous learning, enabling us to push the boundaries of what is possible with data.

As a Data Analyst/BI Engineer, you will play a pivotal role in transforming data into actionable insights and strategic recommendations. Your mission is to delve deep into the analysis of company indicators, unraveling the stories the data tells to empower business decisions, optimize processes, and drive product innovation. You will:

• Analyze company indicators to provide actionable business insights and product improvement recommendations
• Develop and own business intelligence solutions, including BI/data visualization tools, dashboards, and reports to meet business needs
• Collaborate with stakeholders as a data business partner, understanding and defining business requirements for data assets
• Develop and maintain the semantics layers of the data analytics platform through effective data modeling and data orchestration
• Ensure data quality and integrity by establishing and enforcing data governance standards
• Create and manage documentation, including technical specifications, data catalog, and other related documents for BI processes, systems, and procedures

Requirements

• Fluency in SQL is a must (CTE, Window functions)
• Hands-on experience with BI tools, Dashboards, and Data Visualizations (Power BI, Metabase or similar tools)
• Proven track record of end-to-end implementation of data analysis projects, from gathering requirements and data processing to effectively presenting insights to stakeholders
• Proficient in data modeling, building high quality datasets and products

Nice to have

• Proficiency in Data Modelling, building high quality datasets and products
• Experience in Python
• Experience with DBT, Airflow, Dagster or similar tools
• Experience with Google Cloud Platform (BigQuery, Spark)
• Background in online trading or related financial sectors

Benefits

• State-of-the-art technologies (Power BI, Metabase, BigQuery, Dagster, DBT, Datahub, Spark, Python, SQL)
• A collaborative and friendly team of professionals
• High engineering standards (with a focus on change management and data quality)
• Flexible schedule and remote friendliness

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst
• Industries: Non-profit Organizations and Primary and Secondary Education

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