Associate Data Analyst
Role Overview
The role is on the Digital team and focuses primarily on data analytics across client engagements.
The internal title is Associate, Digital; the candidate will support senior team members in digital product delivery.
The role offers exposure to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation.
Key Skills for This Role
Full Job Posting
About Konrad
Konrad is a digital consultancy solving complex business problems for global clients and building digital products.
The company describes its culture as innovative and focused on learning and digital product development.
Role overview
The role is on the Digital team and focuses primarily on data analytics across client engagements.
The internal title is Associate, Digital; the candidate will support senior team members in digital product delivery.
The role offers exposure to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation.
What you’ll do
- Help client and internal teams understand business questions and translate them into analytical requirements.
- Analyze datasets to identify trends, patterns, and insights under senior team guidance.
- Help build and maintain dashboards and recurring reports tracking metrics and performance indicators.
- Document metrics, definitions, and analytics processes.
- Work with data engineers and senior analysts on data validation, modeling, and reporting layers.
- Communicate insights through visualizations, summaries, and presentations.
- Identify improvements to reporting efficiency, data quality, and analytical workflows.
- Build consulting skills and gain exposure to digital and AI product development, digital transformation, UX/CX, and project management.
Qualifications
- One to two years of experience in a data analyst, business intelligence, or related role.
- Exposure to programming in Python, R, or related languages.
- Foundational SQL proficiency and basic experience querying databases or cloud data warehouses such as Snowflake, Databricks, Redshift, or BigQuery.
- Familiarity with business intelligence and data visualization tools such as Looker, Tableau, or Power BI.
- Foundational understanding of data modeling, analytics best practices, business metrics, and KPI tracking.
- Familiarity with basic statistics and introductory A/B testing principles.
- Strong analytical and problem-solving skills, attention to detail, clear communication, and ability to collaborate in cross-functional consulting environments.
- Interest in data governance, privacy, and security practices; curiosity about AI and ability to use AI tools to support work.
Benefits
- Health and wellness benefits, retirement planning, parental leave, flexible hours, and work-from-home flexibility.
- Service recognition, social events and retreats, and learning and development opportunities.
Compensation
- Estimated compensation is $70,000 to $80,000; the posting does not state a pay cadence.
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