Data Analyst
Role Overview
The role sits on the Digital team and focuses primarily on data analytics across client engagements.
The internal title is Specialist, Digital; the position is described as suitable for an early-to-mid-career data professional.
The analyst supports digital product delivery through analytics and reporting that help clients understand data and make decisions.
The role offers exposure to digital and AI product development, digital transformation, and UX/CX, with mentorship from senior colleagues.
Key Skills for This Role
Full Job Posting
About Konrad
Konrad is an AI-driven digital consultancy and product-innovation firm offering AI, strategy, design, and technology services.
Its global team delivers digital solutions and custom experiences for businesses and brands.
About the role
The role sits on the Digital team and focuses primarily on data analytics across client engagements.
The internal title is Specialist, Digital; the position is described as suitable for an early-to-mid-career data professional.
The analyst supports digital product delivery through analytics and reporting that help clients understand data and make decisions.
The role offers exposure to digital and AI product development, digital transformation, and UX/CX, with mentorship from senior colleagues.
What you'll do
- Translate business questions into analytical requirements and analyze data for trends, patterns, and insights.
- Build and maintain dashboards and recurring reports for metrics and performance indicators.
- Document metrics, definitions, and analytics processes; support data modeling and reporting layers with data engineers and analysts.
- Present insights through visualizations, summaries, and presentations.
- Identify improvements to reporting, data quality, and analytical workflows.
- Contribute to consulting work across project management, user experience, and design thinking.
Qualifications
- At least 2 years in data analysis, business intelligence, or an analytics-focused role.
- Programming experience in Python, Bash scripting, R, or a related language.
- Working SQL proficiency and experience querying cloud data warehouses, including Snowflake, Databricks, Redshift, or BigQuery.
- Experience with BI and visualization tools such as Looker, Tableau, or Power BI.
- Foundational data modeling and analytics best practices; experience defining and tracking KPIs and metrics.
- Experience with A/B testing and causal analysis.
- Strong analytical and problem-solving skills, attention to detail, communication, and cross-functional collaboration.
- Interest in data governance, privacy, security, and AI; able to use AI tools to support work.
Perks and benefits
- Benefits include health and wellness coverage, retirement planning, parental leave, flexible hours, and work-from-home flexibility.
- The company offers service recognition, social events, retreats, and learning and development opportunities.
Estimated compensation
- Estimated compensation is $75,000 to $100,000; the offer may vary by applicant qualifications and market data.
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