> Markdown version of [/jobs/ext/3661072-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3661072-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** MJH Life Sciences - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Database Queries, Excel Formulas, Python (Programming Language), Machine Learning, Pivot Tables, Power BI, SAS (Software), SQL Databases, Tableau (Software), Google Cloud, Snowflake, Information Technology, Data Management, Looker Analytics - **Published:** October 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pq00oqnwyv ## About the Role At MJH Life Sciences®, our success is measured by your success! If you set your standards high and want to contribute to a winning team, we'll provide you with every opportunity to help grow our company and your career. Our associates come from all backgrounds, sharing one key quality: determination to succeed. We value being Service Focused, having a Passion for Winning, Innovation, Respect, Integrity, and Teamwork. Nothing means more to us than hiring people with these attributes. If you believe you're right for the job, this is the place to prove it! We are seeking a highly skilled and detail-oriented Senior Data Analyst to join our data team. In this role, you will take ownership of complex data projects, lead analysis efforts, and provide actionable insights to drive strategic decision-making across the business. The Senior Data Analyst will mentor junior analysts, collaborate with cross-functional teams, and serve as a key contributor in advancing our data-driven culture., * You are a strong critical thinker with the ability to turn complex data into clear, actionable recommendations. * You are highly skilled at using data visualization to communicate insights to both technical and non-technical audiences. * You excel at balancing multiple priorities and driving projects to completion. * You are a natural mentor, eager to share knowledge and elevate the team's capabilities., * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field (Master's degree preferred). * 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. Skills * 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. Preferred 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 ## Description * 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.