Data Analyst
Role Overview
The role is on Konrad's Digital team, with the internal title Specialist, Digital, and a primary focus on data analytics across client engagements.
This is an early-to-mid-career data role supporting digital product delivery through analytics and reporting.
The role offers exposure to digital and AI product development, digital transformation, and user experience and customer experience work.
Work with analysts, data scientists, engineers, product managers, designers, and business stakeholders, with guidance and mentorship.
Key Skills for This Role
Full Job Posting
About Konrad
Konrad is an AI-driven digital consultancy and product-innovation firm providing AI, strategy, design, and technology services.
Its global team delivers digital solutions and custom experiences for businesses and brands.
Role overview
The role is on Konrad's Digital team, with the internal title Specialist, Digital, and a primary focus on data analytics across client engagements.
This is an early-to-mid-career data role supporting digital product delivery through analytics and reporting.
The role offers exposure to digital and AI product development, digital transformation, and user experience and customer experience work.
Work with analysts, data scientists, engineers, product managers, designers, and business stakeholders, with guidance and mentorship.
What you'll do
- Translate client and internal business questions into analytical requirements.
- Analyze data to identify trends, patterns, and insights with guidance from senior team members.
- Build and maintain dashboards and recurring reports to track key metrics and performance indicators.
- Document metrics, definitions, and analytics processes.
- Collaborate with data engineers and analysts on data modeling and reporting layers.
- Communicate insights through visualizations, summaries, and presentations.
- Identify opportunities to improve reporting, data quality, and analytical workflows.
Qualifications
- At least 2 years of experience in a data analyst, business intelligence, or analytics-focused role.
- Programming experience in Python, Bash scripting, R, or a related language.
- Working proficiency in SQL and experience querying cloud data warehouses, such as Snowflake, Databricks, Redshift, or BigQuery.
- Experience with BI and data visualization tools, such as Looker, Tableau, or Power BI.
- Foundational understanding of data modeling and analytics best practices.
- Experience defining and tracking KPIs and metrics, and with A/B testing and causal analysis.
- Strong analytical and problem-solving skills, attention to detail, and clear written and verbal communication.
- Ability to collaborate in cross-functional and consulting-style environments.
- Interest in learning about data governance, privacy, and security best practices.
- Curiosity about AI and ability to use AI tools to support work.
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 $75,000 to $100,000; the offer may vary based on applicant qualifications and market data.
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