Principal, Data Analytics
United StatesFull-TimePrincipal
Salary96240 - 145000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLETLGCPMatlabAzureR
Requirements
- 5+ years of experience in applied analytics across marketing, product, finance, sales, or engineering domains
- 3+ years of experience in data consulting, client delivery, or advisory roles
- Strong expertise in experimentation design, measurement frameworks, and statistical analysis
- Advanced proficiency in SQL
- Experience with at least one programming language for analytics (Python, R, MATLAB, or SPSS)
- Strong experience working with cloud platforms such as AWS, GCP, or Azure
- Proven ability to manage complex data environments, including ETL, reporting, and data governance
- Experience taking projects from requirements gathering through delivery and stakeholder presentation
- Strong communication and storytelling skills with the ability to influence decision-making
- Ability to work across multidisciplinary teams and manage multiple client priorities simultaneously
- Experience mentoring or guiding junior analysts or consultants is highly desirable
- Strong business acumen and a client-first, value-driven mindset
Responsibilities
- Lead end-to-end analytics engagements for enterprise clients, from discovery and data assessment through delivery and optimization
- Develop and apply advanced analytical methods including experimentation, predictive modeling, forecasting, and applied statistics
- Translate complex datasets into clear, compelling insights and strategic recommendations for client stakeholders
- Design and build scalable data pipelines, models, and analytical frameworks to support long-term client value
- Manage full data ecosystems including ETL processes, data governance, reporting, and visualization
- Partner with cross-functional teams (product, engineering, marketing, finance) to implement data-driven solutions
- Present findings, methodologies, and recommendations to both technical and non-technical audiences
- Identify opportunities for improved measurement, experimentation, and data strategy across client portfolios
- Lead project delivery from requirements gathering (RFP/SOW/BRD) through execution, QA, and final presentation
- Stay current on industry trends and emerging analytics technologies, integrating new approaches into client work
- Mentor and support junior team members in analytics, client communication, and delivery excellence
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