Senior Data Analyst

Summary

MJH Life Sciences is a company that values determination and teamwork, seeking to hire a Senior Data Analyst to enhance their data-driven culture. The role involves leading complex data analysis projects, mentoring junior analysts, and collaborating with various teams to provide actionable insights that drive strategic decision-making.

Responsibilities

• Lead advanced data analysis projects, transforming raw data into actionable insights
• Develop and maintain dashboards, reports, and KPIs to support strategic initiatives
• Partner with business leaders to identify opportunities for growth, optimization, and innovation
• Mentor and support junior analysts, providing training and guidance on best practices
• Collaborate with engineering and data teams to ensure data accuracy, integrity, and accessibility
• Identify, troubleshoot, and resolve data quality issues
• Conduct statistical and predictive analyses to support business forecasts and performance modeling
• Communicate findings through compelling data stories, presentations, and visualizations tailored to stakeholders
• Contribute to continuous improvement of data processes, governance, and standards

Skills

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
• 4–6 years of data analysis or business intelligence experience, preferably in healthcare, life sciences, publishing, or a related industry
• Proven track record of delivering insights that drive business results
• Advanced proficiency in SQL and data querying
• Strong experience with BI and visualization tools such as Power BI, Tableau, or Looker
• Strong knowledge of Excel (advanced functions, pivot tables, data modeling)
• Experience with statistical analysis using Python, R, or SAS
• Excellent written and verbal communication skills with the ability to present findings clearly
• Strong organizational and project management skills
• Experience with big data tools and cloud platforms (Snowflake, AWS, Azure, GCP)
• Knowledge of ETL processes and data warehousing
• Familiarity with machine learning or predictive modeling techniques
• Background in healthcare or life sciences data analysis

Qualifications

Must Haves

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field
• 4–6 years of data analysis or business intelligence experience, preferably in healthcare, life sciences, publishing, or a related industry
• Proven track record of delivering insights that drive business results
• Advanced proficiency in SQL and data querying
• Strong experience with BI and visualization tools such as Power BI, Tableau, or Looker
• Strong knowledge of Excel (advanced functions, pivot tables, data modeling)
• Experience with statistical analysis using Python, R, or SAS
• Excellent written and verbal communication skills with the ability to present findings clearly
• Strong organizational and project management skills

Nice to Haves

• Experience with big data tools and cloud platforms (Snowflake, AWS, Azure, GCP)
• Knowledge of ETL processes and data warehousing
• Familiarity with machine learning or predictive modeling techniques
• Background in healthcare or life sciences data analysis

Benefits

• Hybrid work schedule
• Health insurance through Cigna (medical & dental)
• Vision coverage through VSP
• Pharmacy benefits through OptumRx
• FSA, HSA, Dependent Care FSA, and Limited Purpose FSA options
• 401(k) and Roth 401(k) with company match
• Pet discount program with PetAssure
• Norton LifeLock identity theft protection
• Employee Assistance Program (EAP) through NYLGBS
• Fertility benefits through Progyny
• Commuter benefits
• Company-paid Short-Term and Long-Term Disability
• Voluntary Term Life & AD&D Insurance, plus Universal Life Insurance options
• Supplemental Aflac coverage: Accident, Critical Illness, and Hospital Indemnity
• Discounts and rewards through BenefitHub