Senior Data Analyst

About Konrad

About the role

What you’ll do

• Define business questions, success metrics, and measurement strategies with client and internal stakeholders.
• Lead analytical projects from discovery and data validation through analysis and recommendations.
• Design and implement scalable dashboards and reporting frameworks for executive and operational decisions.
• Maintain metric definitions, documentation, and analytics standards across engagements.
• Analyze product and business performance to identify drivers, opportunities, and risks.
• Design and evaluate A/B tests and experimentation strategies; interpret statistical results and recommend actions.
• Collaborate with data engineers on data models and reliable, high-quality reporting layers.
• Mentor junior analysts and review work for quality and rigor.
• Communicate insights through clear narratives, visualizations, and executive-level presentations.
• Improve analytics workflows, governance, and data quality processes.

Qualifications

• At least 4 years of experience in data analysis, business intelligence, product analytics, or consulting analytics.
• Strong SQL expertise and experience querying cloud data warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
• Proficiency in Python, R, or a similar language for data analysis and automation.
• Advanced experience with business intelligence and visualization tools such as Looker, Tableau, or Power BI.
• Strong understanding of data modeling, dimensional modeling, and analytics architecture concepts.
• Experience defining KPIs, measurement frameworks, and decision metrics.
• Hands-on experience designing and analyzing experiments, including A/B testing, causal inference, and statistical interpretation.
• Ability to independently structure ambiguous problems and deliver actionable insights.
• Experience working directly with stakeholders and presenting to leadership audiences.
• Strong written and verbal communication skills and ability to influence decisions.
• Experience mentoring analysts or reviewing analytical work.
• Familiarity with data governance, privacy, and security best practices.

Perks and benefits

• Benefits include health and wellness coverage, retirement planning, parental leave, flexible working hours, work-from-home flexibility, service recognition, social events, and learning and development.

Estimated compensation

• Estimated compensation is $105,000 to $115,000; the offer may vary based on applicant qualifications and market data.