Job Description
Join the Future of Data at Apex Tech Solutions.
We are seeking a highly analytical and strategic Senior Data Analyst to join our dynamic team in Seattle, Washington. As a top-tier technology company, we rely on data to drive decision-making, optimize user experiences, and scale our products globally. If you have a passion for turning complex datasets into actionable business insights, we want to hear from you.
In this role, you will collaborate with cross-functional teams including product managers, engineers, and executives to define key performance indicators (KPIs) and build scalable reporting solutions. You will be at the forefront of our data strategy, helping us uncover trends that shape the future of our industry.
Responsibilities
- Data Strategy & Architecture: Design and implement scalable data models and pipelines to ensure data accuracy, consistency, and accessibility across the organization.
- Advanced Analytics: Conduct deep-dive analysis using statistical methods to identify trends, patterns, and anomalies in large datasets.
- Visualization & Reporting: Develop intuitive dashboards and reports using Tableau, Power BI, or Looker to communicate complex insights to non-technical stakeholders.
- Business Intelligence: Partner with product and engineering teams to define metrics, track performance, and provide recommendations for product improvements.
- Stakeholder Management: Translate technical findings into compelling narratives and presentations for executive leadership and operational teams.
- Automation: Automate manual reporting processes to increase efficiency and reduce time-to-insight for the business.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field; Master’s degree preferred.
- Experience: 4+ years of professional experience in data analysis, business intelligence, or a similar analytical role.
- Technical Skills: Proficiency in SQL (PostgreSQL, MySQL), Python or R for data manipulation, and visualization tools (Tableau, Power BI, or Looker).
- Statistical Knowledge: Strong understanding of statistical analysis, A/B testing, and experimental design.
- Communication: Exceptional ability to communicate complex data concepts to diverse audiences with varying levels of technical expertise.
- Tools: Experience with cloud data warehouses (Snowflake, Redshift) and ETL tools is a plus.