About the job
Who We Are
Konrad Group is an innovative digital consultancy dedicated to tackling complex business challenges for our global clientele through creative and forward-thinking solutions. Our culture thrives on innovation, and we are committed to delivering best-in-class digital products that serve hundreds of millions of consumers worldwide. We seek exceptionally intelligent, analytical, and diligent individuals who embrace lifelong learning.
About The Role
As a Senior Data Analyst, you will take the lead in analytical initiatives, collaborating directly with stakeholders to craft data-informed strategies. You will be responsible for designing and delivering analytics and reporting solutions that empower clients to comprehend their performance, uncover opportunities, and make informed business decisions.
Working in close partnership with consultants, data engineers, developers, designers, and clients across various projects, you will own the analytical problem-solving process from inception to execution, mentor junior analysts, and help establish best practices in data modeling, experimentation, and reporting.
Your inquisitive nature and pragmatic approach will help you navigate ambiguity effectively. You will translate intricate business challenges into structured analyses, proactively reveal insights, and influence decision-making through clear communication and impactful storytelling.
What You’ll Do
- Collaborate with client and internal stakeholders to define business questions, success metrics, and measurement strategies.
- Lead analytical projects from start to finish, including discovery, data validation, analysis, and the presentation of findings.
- Design and implement scalable dashboards and reporting frameworks to support executive and operational decision-making.
- Establish and uphold metric definitions, documentation, and analytics standards across engagements.
- Conduct in-depth analyses to identify performance drivers, opportunities, and risks within products and business operations.
- Design and assess A/B testing and experimentation strategies, providing statistical interpretation and recommendations.
- Collaborate with data engineers to create data models and ensure the reliability and quality of reporting layers.
- Mentor junior analysts, reviewing their analytical work to ensure quality and rigor.
- Communicate insights through compelling narratives, visualizations, and presentations for executive audiences.
- Identify and implement enhancements to analytics workflows, governance, and data quality processes.

