Senior Data Analyst

Who We Are

Konrad is a next-generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard-working people who are lifelong learners.

About The Role

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 are curious, pragmatic, and comfortable navigating ambiguity. You translate complex business problems into structured analysis, proactively surface insights, and influence decisions through clear communication and thoughtful storytelling.

What You’ll Do

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

Design and implement scalable dashboards and reporting frameworks for executive and operational decision-making

Develop and maintain metric definitions, documentation, and analytics standards across engagements

Perform deep-dive analyses to identify drivers, opportunities, and risks across product and business performance

Design and evaluate A/B tests and experimentation strategies, including statistical interpretation and recommendations

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

Qualifications

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

Experience defining KPIs, measurement frameworks, and decision metrics

Hands-on experience designing and analyzing experiments (A/B testing, causal inference, statistical interpretation)

Proven ability to independently structure ambiguous problems and deliver actionable insights

Experience working directly with stakeholders and presenting to leadership audiences

Strong written and verbal communication skills and ability to influence decisions Experience mentoring analysts or reviewing analytical work

Familiarity with data governance, privacy, and security best practices

Perks and Benefits

Comprehensive Health & Wellness Benefits Package

Retirement Planning

Parental Leave Program

Flexible Working Hours

Work from Home Flexibility

Service Recognition Programs

Socials, Outings & Retreats

Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses, make sure to highlight this experience in your cover letter if you have!

The estimated compensation for this position is $105,000 to $115,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

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