Senior Data Analyst - Hybrid, Insight-Driven Leader

MJH Life Sciences®; United States; Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Health insurance through Cigna

401(k) with company match

Hybrid work schedule

Employee Assistance Program (EAP)

Discounts and rewards through BenefitHub

Voluntary Term Life & AD&D Insurance

Job summary

MJH Life Sciences® is seeking a Senior Data Analyst to lead data analysis projects and drive actionable insights. The role involves developing dashboards and collaborating with business leaders to enhance strategic initiatives.

The ideal candidate will have a Bachelor's degree in a relevant field and 4–6 years of experience in data analysis, ideally within healthcare or life sciences sectors. A hybrid work schedule and comprehensive benefits are offered.

Qualifications

• 4–6 years of data analysis or business intelligence experience, preferably in healthcare or life sciences.
• Proven track record of delivering insights that drive business results.

Responsibilities

• Lead advanced data analysis projects.
• Develop and maintain dashboards, reports, and KPIs.
• Partner with business leaders for growth opportunities.
• Mentor and support junior analysts.
• Collaborate with teams to ensure data accuracy.

Skills

Advanced proficiency in SQL

Strong experience with BI and visualization tools

Strong knowledge of Excel

Experience with statistical analysis using Python, R, or SAS

Excellent written and verbal communication skills

Strong organizational and project management skills

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or Economics

Master’s degree (preferred)

Tools

Power BI

Tableau

Looker

Job description

MJH Life Sciences® is seeking a Senior Data Analyst to lead data analysis projects and drive actionable insights. The role involves developing dashboards and collaborating with business leaders to enhance strategic initiatives.

The ideal candidate will have a Bachelor's degree in a relevant field and 4–6 years of experience in data analysis, ideally within healthcare or life sciences sectors. A hybrid work schedule and comprehensive benefits are offered.