Data Analyst
Konrad
Job Overview
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Job Description
Data Analyst at Konrad
Konrad is a next-generation digital consultancy dedicated to solving complex business problems for global clients with creative, forward-thinking solutions. Employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products used by hundreds of millions worldwide. We hire exceptionally smart, analytical, hard-working people who are lifelong learners.
About The Role
As a Data Analyst at Konrad, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You support the delivery of analytics and reporting solutions that help clients better understand their data and make informed decisions. You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis.
You will work closely with senior analysts, data scientists, engineers, and business stakeholders across a variety of client engagements. With guidance and mentorship, you will contribute to analytics initiatives including dashboarding, exploratory analysis, KPI tracking, and data quality validation. You are curious, detail-oriented, and motivated to continuously improve your analytical skills.
What You’ll Do
- Support client and internal teams in understanding business questions and translating them into analytical requirements.
- Analyze data to identify trends, patterns, and insights under the guidance of senior team members.
- Build and maintain dashboards and recurring reports to track key metrics and performance indicators.
- Assist in documenting metrics, definitions, and analytics processes.
- Collaborate with data engineers and other analysts to support data modeling and reporting layers.
- Communicate insights clearly through visualizations, summaries, and presentations.
- Proactively identify opportunities to improve reporting, data quality, and analytical workflows.
Qualifications
- Minimum 2+ years of experience in a data analyst, business intelligence, or analytics-focused role.
- Programming experience in Python, Bash scripting, R or related language.
- Working proficiency in SQL and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery).
- Experience with Business Intelligence and data visualization tools (e.g., Looker, Tableau, Power BI).
- Foundational understanding of data modeling and analytics best practices.
- Experience defining and tracking KPIs and metrics.
- A/B testing and causal analysis.
- Strong analytical and problem-solving skills with attention to detail.
- Clear written and verbal communication skills.
- Ability to work collaboratively in cross-functional and consulting-style environments.
- Interest in learning about data governance, privacy, and security best practices.
Perks And Benefits
- Comprehensive Health & Wellness Benefits Package.
- Socials, Outings & Retreats.
- Retirement Planning.
- Parental Leave Program.
- Annual tech & travel allowance.
- Culture of Learning & Development.
- Flexible Working Hours.
- Work from Home Flexibility.
- Service Recognition Programs.
Key skills/competency
- Data Analysis
- SQL
- Data Visualization
- Business Intelligence
- Python/R Programming
- Cloud Data Warehousing
- KPI Tracking
- Data Modeling
- Problem-Solving
- Communication
How to Get Hired at Konrad
- Research Konrad's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in data analysis, SQL, and BI tools directly relevant to Konrad's consultancy projects.
- Showcase problem-solving: Prepare examples demonstrating your analytical approach to complex business challenges.
- Emphasize continuous learning: Demonstrate your interest in new technologies and a desire for skill development, aligning with Konrad's 'lifelong learners' culture.
- Prepare for technical and behavioral interviews: Expect questions on data modeling, SQL queries, and how you communicate insights to stakeholders.
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