Job Description
Join Nexus Analytics as a Senior Data Analyst and drive data-driven decisions that shape our future. We're seeking a passionate problem-solver to transform complex datasets into actionable insights for our Fortune 500 clients. This hybrid role offers the flexibility to work 3 days remotely while collaborating in our state-of-the-art LA headquarters.
Our ideal candidate thrives in fast-paced environments and possesses a unique blend of technical expertise and business acumen. You'll partner with cross-functional teams to uncover hidden opportunities, optimize operations, and deliver compelling visualizations that influence executive strategy. If you're ready to make a measurable impact in a culture that celebrates innovation and continuous learning, we want to hear from you.
Responsibilities
- Analyze large-scale datasets using SQL, Python, and statistical modeling techniques to identify trends and business opportunities
- Design and maintain interactive dashboards using Tableau/Power BI to track KPIs and performance metrics
- Collaborate with product and marketing teams to conduct A/B tests and optimize customer acquisition strategies
- Translate complex findings into clear executive presentations with actionable recommendations
- Automate reporting processes to improve data accessibility and reduce manual workloads by 30%
- Mentor junior analysts while establishing best practices for data governance and quality assurance
- Lead ad-hoc analyses to support strategic initiatives like market expansion and product launches
Qualifications
- Bachelor's degree in Statistics, Computer Science, Economics, or related field (Master's preferred)
- 5+ years of professional data analysis experience with demonstrated portfolio of impactful projects
- Expert proficiency in SQL, Python (Pandas/NumPy), and at least one visualization tool (Tableau/Power BI)
- Strong understanding of statistical methods and experimental design principles
- Experience with cloud platforms (AWS/GCP/Azure) and big data technologies (Spark/Hadoop)
- Exceptional communication skills with ability to explain technical concepts to non-technical stakeholders
- Proven track record of translating data into business value and driving measurable outcomes
- Experience working in fast-paced tech or e-commerce environments