Data Analytics Specialist

Key Responsibilities:

• Apply Python-based data analytics techniques to solve complex, domain-specific problems
• Perform data extraction, transformation, and analysis on structured and unstructured datasets
• Develop and implement data visualization models to communicate insights effectively
• Collaborate with cross-functional teams to translate business/domain problems into analytical solutions
• Build reusable scripts, models, and frameworks for scalable data analysis
• Interpret results and provide domain-driven insights and recommendations

Basic Requirements:

• Strong proficiency in Python programming
• Hands-on experience in:
• Data manipulation (e.g., Pandas, NumPy)
• Data visualization (e.g., Matplotlib, Seaborn, Plotly)
• Solid understanding of data analysis methodologies and workflows
• Ability to work with complex datasets and derive meaningful insights

Priority Domains:

• Finance
• Applied Science

Preferred Qualifications:

• Advanced degree (Master’s or PhD) in a relevant domain
• Experience working on domain-specific analytical models or research projects
• Familiarity with machine learning or statistical modeling techniques
• Strong problem-solving and critical-thinking skills
• Ability to communicate complex findings to technical and non-technical stakeholders

Pay: $45.00 - $65.00 per hour

Expected hours: 40.0 per week

Benefits:

• Dental insurance
• Health insurance
• Vision insurance

Experience:

• Data analytics: 4 years (Required)
• Python: 4 years (Required)

Work Location: Remote