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Senior Data Analyst
Posted 3 days agoViewed
💎 Seniority level: Senior, 7+ years
💸 Salary: 125000.0 - 190600.0 USD per year
🔍 Industry: Software Development
⏳ Experience: 7+ years
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field (or equivalent experience).
- 7+ years of experience in data analytics, AI/ML applications, or enterprise analytics.
- Expertise in SQL (Snowflake), Python (Pandas, NumPy).
- Familiarity with workflow orchestration tools (DBT, Airflow).
- Proficiency in cloud platforms (AWS, GCP, or Azure) and distributed computing frameworks.
- Hands-on experience with AI/ML methodologies including classification, clustering, time-series forecasting, and NLP.
- Proficiency in data visualization tools (Streamlit, Tableau) for creating self-service analytics solutions.
- Proven track record of delivering high-impact AI/ML-driven insights at speed
- Experience designing and executing controlled experiments to validate business hypotheses
- Strong understanding of customer support metrics, KPIs, and cloud computing analytics
- Track record of translating complex analyses into actionable business outcomes
- Experience with modern BI tools and visualization techniques for stakeholder consumption
- Outstanding communication skills with proven ability to influence senior stakeholders
- Strong project management skills prioritizing rapid, iterative delivery of business value
- Demonstrated experience leading cross-functional technical initiatives
- High emotional intelligence with a customer-centric mindset
- Deep understanding of AI ethics and responsible implementation in enterprise contexts
Responsibilities:
- Engage with stakeholders to shape problem definition and success metrics, translating business challenges into effective analytics approaches
- Analyze enterprise support KPIs including resolution times, CSAT scores, and other key support metrics, while conducting focus groups with support engineers to gather qualitative insights
- Provide detailed data narratives, identify key issues, and forecast trends to present to senior leadership stakeholders to support strategic decision-making
- Collaborate with business partners, data analytics engineering, and BI developers to deploy dashboards and self-service analytics tools
- Own business domain expertise to guide leadership in framing challenges and defining rigorous success metrics, ensuring measurable organizational outcomes
- Spearhead product improvements through data-driven insights, proactively identifying high-impact opportunities and driving implementation with Product and Engineering teams
- Drive technical leadership and innovation in enterprise AI applications - pioneering cutting-edge methodologies in agentic workflows, retrieval augmented generation (RAG), and evaluation-driven development (EDD)
- Lead enterprise-scale data architecture and ML solutions, combining technical excellence and domain expertise to build next-generation analytics capabilities - from automated insight generation to self-service applications that transform how the business operate
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