Senior Data Analyst
Role Overview
The Senior Data Analyst leads analytical initiatives and partners with stakeholders to shape data-informed strategy.
The role owns analytical problem-solving from discovery to delivery, works across client engagements, and mentors junior analysts.
The description mentions flexible working hours and work-from-home flexibility; the posting also uses a hybrid recruiting tag.
Key Skills for This Role
Full Job Posting
About Konrad
Konrad describes itself as an AI-driven digital consultancy and product-innovation firm providing AI, strategy, design, and technology services.
About the role
The Senior Data Analyst leads analytical initiatives and partners with stakeholders to shape data-informed strategy.
The role owns analytical problem-solving from discovery to delivery, works across client engagements, and mentors junior analysts.
The description mentions flexible working hours and work-from-home flexibility; the posting also uses a hybrid recruiting tag.
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.
- Build scalable dashboards and reporting frameworks for executive and operational decisions.
- Maintain metric definitions, documentation, and analytics standards.
- Analyze product and business performance to identify drivers, opportunities, and risks.
- Design and evaluate A/B tests and experimentation strategies and interpret results.
- Collaborate with data engineers on data models and reliable reporting layers.
- Mentor junior analysts and review work for quality and rigor.
- Present insights through clear narratives, visualizations, and executive presentations.
- Improve analytics workflows, governance, and data quality processes.
Qualifications
- At least four years of experience in data analysis, business intelligence, product analytics, or consulting analytics.
- Strong SQL and experience querying cloud warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
- Proficiency in Python, R, or a similar language for analysis and automation.
- Advanced experience with BI and visualization tools such as Looker, Tableau, or Power BI.
- Strong knowledge of data modeling, dimensional modeling, and analytics architecture.
- Experience defining KPIs, measurement frameworks, and decision metrics.
- Hands-on experience with experimentation, including A/B testing, causal inference, and statistical interpretation.
- Ability to independently structure ambiguous problems and deliver actionable insights.
- Stakeholder experience, leadership presentations, strong communication, and ability to influence decisions.
- Experience mentoring analysts or reviewing analytical work.
- Familiarity with data governance, privacy, and security best practices.
Compensation
- Estimated compensation is $105,000 to $115,000; the posting does not specify a pay cadence.
Benefits and flexibility
- The posting lists health and wellness benefits, retirement planning, parental leave, flexible hours, work-from-home flexibility, service recognition, social events, and learning and development.
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