Senior Data Analyst

Powerful predictors of the future, our Analytics team blends data science and business intelligence to enable extra foresight for our platform offerings. They connect insights to results for our clients by working closely with senior stakeholders, staying in tune with market trends, with the power of our big data assets. By leveraging new age analytic tools and emerging technologies, the team nurtures a perfect learning environment for enthusiastic individuals to grow and succeed. The Senior Data Analyst is responsible for conducting data analyses using SAS/SQL/Python and other tools in support of a variety of analytic solutions.

Roles & Responsibilities:

• Develop analytical frameworks to answer questions/solve business problems.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Hypothesis testing and reporting statistically significant results
• Create and present data-driven insights to client/stakeholders, proficient with storytelling from the generated insights
• Project Management skills with the ability to work independently with minimal support
• Mentor/hand-hold junior team members on technical/problem-solving aspects
• Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions.
• Structure hypothesis, build thoughtful analyses, develop underlying data models, and bring clarity to identified problems.
• Create visually compelling dashboards and reports to effectively communicate data-driven insights
• Effective communication skills to convey complex data insights, ability to collaborate with cross-functional teams, high levels of accountability in maintaining data integrity.

Requirements

Minimum Qualifications:

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics)
• 5-8 years of experience in the analytics field; Marketing analytics experience preferred.
• Proficiency in Python, SQL(Must) and Tableau/Power BI/SAS (good to have).
• Hands-on experience on Data Science projects, developing Predictive / ML models is mandatory.
• Experience in Databricks environment would be a plus.
• Superior analytical and problem-solving skills
• Excellent verbal and written communication skills.

Desirable Qualifications:

• Anyone from computer science, economics and mathematics discipline would be preferred.
• Working knowledge of cloud environments would be preferred.

Additional information

Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.