Data Analyst, Business Intelligence
Doximity
NumpyPandasPythonSQL
Data Analyst, Marketing Services
Amsive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Junior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPySparkPythonSparkSQL
About the role
- Analyze and execute technical marketing campaign development using PySpark notebooks and Spark SQL
- Perform custom coding to address specific campaign and data analysis requirements
- Manage and analyze customer data, ensuring accuracy through master data management, identity resolution, and householding processes
- Develop actionable insights from large datasets to optimize marketing strategies
- Collaborate with internal digital marketing and data teams to align on campaign goals and data-driven decision-making
- Create automated reports, dashboards, and data visualizations to inform strategic decisions and communicate findings to managers and key stakeholders
- Stay informed of industry trends and best practices and share knowledge with team members
Requirements
- 1-4 years of experience in data analytics or development
- Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing, or a similar field
- Demonstrated experience using PySpark and Spark SQL to segment, manipulate, and analyze large datasets
- In-depth knowledge of customer data management principles, including master data management, identity resolution, and householding
- Hands-on experience with Microsoft Fabric or comparable cloud-native data platforms (e.g., Databricks, Synapse, AWS, GCP, Azure)
- Proven track record of using custom coding to overcome complex data and analytical hurdles
- Excellent problem-solving and communication skills
- Experience working with marketing campaign data, analysis, and customer segmentation is preferred
- Familiarity with marketing platforms (e.g., CRM, CDP, or DMP systems) is preferred
- Experience with or knowledge of source control systems such as Azure DevOps or Git is preferred
- Familiarity with data visualization tools such as Power BI or Python-based libraries (e.g., matplotlib, seaborn, plotly) is preferred
- Knowledge of advanced marketing analytics techniques, such as attribution modeling or predictive analytics is preferred
- Candidates must be located in US time zones and able to work ET or CT
- Amsive does not provide sponsorship opportunities (no visa sponsorship)
Benefits
- a unique blend of flexibility
- growth opportunities
- a culture that values each individual
- supportive environment where personal growth is as important as professional development
- empowering team members with the tools they need to succeed
- REMOTE position (candidates can be located anywhere in US time zones; required to work ET or CT)
- reasonable accommodation with the application process available upon request
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PySparkSpark SQLdata analysiscustom codingmaster data managementidentity resolutiondata visualizationattribution modelingpredictive analyticscustomer segmentation
Soft skills
problem-solvingcommunication
