Data/BI Engineer responsible for developing, implementing, and managing technology-based solutions. Focused on improving clients’ data ecosystem within various industries in Greece.
Responsibilities
Design and maintain data warehouse (data preparation, data warehousing, reporting, analytics & data exploration and information delivery).
Support and maintain the data foundation that the reporting layer and dashboards rely on.
Build, maintain, and deploy data products for analytics and data science teams on cloud platforms.
Prepare high-level ETL mapping specifications.
Develop complex code data scripts (usually in Python or SQL) to extract and manipulate data from multiple sources.
Design, develop, and deploy interactive Power BI dashboards and reports.
Collaborate with business teams to understand reporting requirements and translate them into BI solutions.
Create efficient data models and optimize DAX queries for performance.
Integrate Power BI with various data sources (SQL Server, Excel, APIs, etc.).
Maintain and enhance existing BI reports and solutions.
Implement row-level security and ensure data integrity across BI platforms.
Requirements
BS/MS degree in Computer Science, Engineering or related field (mandatory).
Minimum of 5 years of relevant experience on software development using MS SQL Server, ETL tools and specifically SSIS.
3 years of hands-on experience with **Power BI** development and administration.
Strong knowledge of **DAX**, **Power Query (M)**, and **data modeling** principles.
Ability to analyze complex datasets and deliver visually compelling insights.
Excellent communication and problem-solving skills.
Good programming skills with a mindset of solving hard problems efficiently with creativity.
Communication & Time Management Skills.
Able to work independently and as part of a group.
Analytical thinking & Problem-Solving Attitude.
Knowledge of Microsoft Office.
Languages required: English and Greek, both written and verbal.
Benefits
Professional development through participation in challenging, real business projects in different industries.
Working in a dynamic and fast-growing banking Technology Company with recognized partners.
Opportunity to work in a diverse environment with talented colleagues.
SR BI ANALYST in an international insurance company analyzing and visualizing data. Collaborating with Finance and Operations areas to meet information needs.
Senior Specialized BI Analyst creating advanced business intelligence insights for Memorial Hermann's analytics team. Responsible for supporting critical business decisions across various organizational domains.
Business Intelligence Developer working on reporting and dashboard solutions for 32BJ Benefit Funds. Collaborating with senior developers to advance business insights through data analytics.
Intern supporting Business Intelligence Developer tasks while collaborating with professionals at Uline's corporate headquarters. Focusing on data integrations and analytics for business solutions.
BI Developer reviewing data and metrics on insider and cyber risks for SMBC at a hybrid workplace. Building visualizations and reports to foster security within the organization.
Senior Manager driving business intelligence initiatives for Snap’s Small & Mid - sized Clients business. Leading analytics team to transform insights into data - driven actions across Go - To - Market and Sales strategies.
Lead PowerBI Developer managing analytics solutions for People Analytics unit at Novo Nordisk. Collaborate across teams to drive data quality and decision - making through insights.
Mid - Level Business Intelligence Analyst transforming data into actionable insights at Boeing. Collaborating with teams to improve business performance and validate data accuracy.
Business Intelligence Analyst creating strategic reports for a leading technology company. Collaborating cross - functionally to enhance business decision - making and performance metrics.
Power BI Consultant focused on designing and developing reports and dashboards. Collaborating with clients to transform data sets for business insights.