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Tech Stack
Tools & technologiesAirflowAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Work on large-scale data and analytics projects that gather and integrate data from multiple sources
- Identify, analyze, and interpret trends and patterns in complex datasets to answer business questions and inform decisions
- Apply statistical techniques and analytical tools to interpret results and develop actionable insights and recommendations
- Present data, analysis, and recommendations in a clear and concise manner that enables stakeholders to quickly understand and act
- Collaborate with business partners, analytics teams, and technology stakeholders to provide a holistic view of analytical outcomes
- Acquire, validate, and prepare data from multiple sources to support accurate and reliable analysis
- Measure and monitor the impact of applied recommendations and adjust analyses as needed
- Ensure all data acquisition, sharing, and analytical outputs comply with company standards, governance, and data policies
Requirements
What you’ll need- Bachelor's degree in a related field, or equivalent work experience
- Four to five years of statistical and/or data analytics experience
- Experience in analytics, advanced analytics/statistics, and predictive modeling
- Strong analytical skills with the ability to extract, collect, organize, analyze, and interpret trends or patterns in complex data sets
- Demonstrated project management skills
- Effective interpersonal, verbal, and written communication skills
- Expertise with complex SQL queries, including views, stored procedures, and user-defined functions
- Familiarity with Microsoft Power Platform tools such as Power Automate and Power Apps
- Proficiency with data visualization tools such as Power BI
- Experience working with cloud-based platforms such as Azure, Databricks, and Snowflake
- Working knowledge of analytics and statistical software such as R, Python, SAS, SPSS, or similar tools
- Working knowledge of ETL processes and tools such as Alteryx, Airflow, Azure Data Factory, or equivalent
Benefits
Comp & perks- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statistical techniquesdata analyticspredictive modelingSQLdata visualizationRPythonSASSPSSETL processes
Soft Skills
analytical skillsproject managementinterpersonal skillsverbal communicationwritten communication