Job Description
Join DataForge Analytics as a Senior Data Analyst and transform raw data into strategic insights that drive business decisions. We offer a fully remote work environment with relocation assistance for qualified candidates moving to the Baltimore area. This role is perfect for analytical minds passionate about solving complex problems through data storytelling and visualization. You'll collaborate with cross-functional teams to uncover trends, build predictive models, and deliver actionable recommendations that shape our product roadmap.
Why DataForge? We pride ourselves on a culture of innovation, professional growth, and work-life balance. Beyond competitive compensation, you'll enjoy comprehensive benefits, flexible scheduling, and opportunities to attend industry conferences. Our commitment to your success includes a structured onboarding program and mentorship from senior data scientists.
Responsibilities
- Analyze complex datasets using SQL, Python, and statistical modeling to identify business opportunities and risks
- Create interactive dashboards and visualizations using Tableau and Power BI to communicate insights to stakeholders
- Develop and maintain automated ETL pipelines to ensure data quality and accessibility
- Collaborate with product teams to define KPIs and track performance metrics
- Present findings to executive leadership through clear, compelling data narratives
- Lead ad-hoc analysis projects to support strategic initiatives and product launches
- Mentor junior analysts and contribute to continuous improvement of data practices
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field (Master's preferred)
- 5+ years of experience in data analysis or business intelligence roles
- Expert proficiency in SQL, Python (Pandas, NumPy), and data visualization tools
- Strong statistical knowledge with experience in hypothesis testing and regression analysis
- Proven ability to translate complex data into actionable business recommendations
- Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies
- Excellent communication skills with ability to present to technical and non-technical audiences
- Portfolio demonstrating data analysis projects and visualizations