As a Data Analyst specializing in Power BI and modern data platforms, you will play a crucial role in transforming complex datasets into actionable insights that drive strategic decision-making across the organization. You will design, develop, and maintain dynamic dashboards, interactive reports, and robust data models, collaborating with cross-functional teams to ensure data solutions are aligned with business goals. The role requires expertise in SQL, DAX, and data modeling, along with the ability to optimize data architectures and ETL pipelines. You will support multiple departments, enhance reporting efficiency, and mentor junior analysts where needed. This position offers the opportunity to work in a fast-paced, data-driven environment while contributing directly to the organization's analytical capabilities and strategic initiatives.

Accountabilities

Design, develop, and maintain interactive Power BI dashboards and reports that deliver actionable insights to business leaders
Build and optimize data models, DAX measures, and calculated columns for high-performance reporting
Collaborate with cross-functional teams, including Finance, Marketing, Sales, and Operations, to gather requirements and translate them into scalable reporting solutions
Perform data profiling, cleansing, and validation to ensure accurate and consistent reporting outputs
Develop and maintain ETL pipelines using modern data integration tools to consolidate multiple data sources
Conduct trend analysis, forecasting, and KPI measurement to inform strategic decision-making
Implement data governance, security policies, and role-based access within reporting environments
Partner with IT and Data Engineering teams to enhance data accessibility, integration, and scalability

Requirements

7+ years of experience in data analysis, business intelligence, or analytics roles
Proven hands-on expertise with Microsoft Power BI including Power Query, Power BI Desktop, and Power BI Service
Strong proficiency in SQL, including query optimization, stored procedures, and performance tuning
Advanced knowledge of DAX and data modeling for complex business scenarios
Understanding of ETL concepts, data pipelines, and data integration techniques
Familiarity with statistical analysis, forecasting, or predictive modeling (preferred)
Experience with cloud platforms such as Azure Synapse and SQL Server, and Azure Data Services (Data Factory, Data Lake)
Experience in agile environments and tools such as JIRA, Confluence, or DevOps (preferred)
Strong analytical, problem-solving, and communication skills
Bachelor's degree in Computer Science, IT, or a related discipline
Prior experience mentoring or leading junior analysts (preferred)

Benefits

Competitive salary package commensurate with experience
Comprehensive health insurance: medical, dental, and vision
Retirement savings plans with employer contributions
Flexible work arrangements, including remote work opportunities
Professional development and continuous learning support
Paid time off and holidays
Inclusive, collaborative, and diverse organizational culture

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!