PRODUCT DATA ANALYST SENIOR (H/F)
$105k - $115k per yearKonrad
Konrad is an AI-driven digital consultancy and product-innovation firm providing AI, strategy, design, and technology services to the world’s most ambitious businesses and brands.
In a landscape defined by human and machine collaboration, we bridge the gap between complex AI and beautiful product design. From strategy to implementation, our 750+ global experts deliver intelligent solutions trusted by 500 million people.
As a Senior Data Analyst, you are an experienced analytics professional who leads analytical initiatives and partners directly with stakeholders to shape data-informed strategy. You drive the design and delivery of analytics and reporting solutions that enable clients to understand performance, identify opportunities, and make confident business decisions.
You work closely with consultants, data engineers, developers, designers and clients across multiple engagements. You own analytical problem-solving from discovery to delivery, mentor junior analysts, and help establish best practices across data modeling, experimentation, and reporting.
You translate complex business problems into structured analysis, proactively surface insights, and influence decisions through clear communication and thoughtful storytelling.
Partner with client and internal stakeholders to define business questions, success metrics, and measurement strategies
Lead analytical projects end-to-end including discovery, data validation, analysis, and presentation of recommendations
Perform deep-dive analyses to identify drivers, opportunities, and risks across product and business performance
Collaborate with data engineers to design data models and ensure reliable, high-quality reporting layers
Mentor junior analysts and review analytical work to ensure quality and rigor
Communicate insights through clear narratives, visualizations, and executive-level presentations
Identify and implement improvements to analytics workflows, governance, and data quality processes
Minimum 4+ years of experience in a data analyst, business intelligence, product analytics, or consulting analytics role
Strong SQL expertise and experience querying cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery)
Proficiency in Python, R, or similar language for data analysis and automation
Advanced experience with Business Intelligence and visualization tools (e.g., Looker, Tableau, Power BI)
Strong understanding of data modeling, dimensional modeling, and analytics architecture concepts
Hands-on experience designing and analyzing experiments (A/B testing, causal inference, statistical interpretation)
Familiarity with data governance, privacy, and security best practices
Retirement Planning
Parental Leave Program
Flexible Working Hours
Work from Home Flexibility
Socials, Outings & Retreats
Culture of Learning & Development
All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
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