Senior Data Analyst

Posted 15 days agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 120000.0 - 150000.0 USD per year

🔍 Industry: Retirement

🏢 Company: Human Interest👥 501-1000💰 $161,000,000 Private about 2 years agoWealth Management Retirement Finance InsurTech Employee Benefits Insurance FinTech

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLData AnalysisData sciencePandasData visualizationData modeling

Requirements:

Minimum of 5+ years of experience using data analytics and/or data science to create business value
Deep experience with SQL and navigating complex datasets
Hands-on experience with Python and pandas
Interest and some experience in data science Python libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, SciPy, and Scikit-learn
Ability to convey complex analysis in a clear and engaging manner to non-technical stakeholders
Solid understanding of statistical analysis
BA/BS in a quantitative field, such as mathematics, statistics, engineering, or natural sciences

Responsibilities:

Create data products that empower business leaders to make informed decisions across various domains using data science and/or complex data analysis.
Collaborating with diverse teams, you'll independently identify opportunities where data can empower business stakeholders to define and achieve their goals. Your data prowess will pave the way for groundbreaking solutions.
Leveraging DBT, you'll build immaculate and reliable data models that lay the foundation for powerful data-driven initiatives.
As a mentor, you'll inspire and guide other data analysts in harnessing the potential of data analytics and data science to drive tangible business value. Your expertise will be pivotal in nurturing a data-driven culture.
When traditional reports and dashboards fall short, you'll step up to complete complex root cause analysis. Your skills will uncover insights that redefine our approach to challenges.
Your vision will help us become truly data-driven. You'll lead the charge in adopting data-centric strategies that elevate our performance to new heights.

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