Data Analyst
Role Overview
The internal title is Specialist, Digital; the role focuses primarily on data analytics across client engagements.
An early-to-mid career data professional supports client digital products through analytics and reporting solutions.
The role offers exposure to digital product development, digital transformation, and UX/CX consulting.
Work with senior 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 a digital consultancy that solves complex business problems and builds digital products for global clients.
About the role
The internal title is Specialist, Digital; the role focuses primarily on data analytics across client engagements.
An early-to-mid career data professional supports client digital products through analytics and reporting solutions.
The role offers exposure to digital product development, digital transformation, and UX/CX consulting.
Work with senior 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 find trends, patterns, and insights with guidance from senior team members.
- 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 other analysts.
- Communicate insights through visualizations, summaries, and presentations.
- Identify ways to improve reporting, data quality, and analytical workflows.
Qualifications
- At least 2 years of experience in data analysis, business intelligence, or another analytics-focused role.
- Programming experience in Python, Bash scripting, R, or a related language.
- Working SQL proficiency and experience querying cloud data warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
- Experience with BI and 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, consulting-style environments.
- Interest in learning about 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 $75,000 to $100,000; the description does not specify currency or pay cadence.
Bonus points
The posting invites applicants who have taken BrainStation courses to highlight that experience in their cover letter.
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