Senior Data Analyst
About The Position
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.
Requirements
- 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
Nice To Haves
- 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!
Responsibilities
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
