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Senior Data Engineer / Data Analyst
Shrive Technologies LLCWest Chester, Ohio, USA30+ days ago
Job type
- Full-time
Job descriptionNetwork Experience : Analyze network performance data to identify and address areas of poor customer experience. Personalization : Enable data-driven personalization of marketing communications offers and customer support interactions. Billing and Service Inquiries : Analyze inquiry data to identify root causes of customer confusion and drive improvements in billing and service clarity. Reporting and Visualization : Create compelling and insightful reports and dashboards using Tableau or Power BI to communicate findings to both technical and non-technical audiences. Data Governance and Quality : Ensure data accuracy completeness and consistency across all data platforms. Implement data quality checks and best practices. Collaboration and Mentorship : Work closely with cross-functional teams including product marketing and engineering to deliver data-driven solutions. Mentor junior team members and promote a culture of data-driven decision-making. Education : Bachelors or Masters degree in Computer Science Engineering Statistics or a related quantitative field. Experience : 5 years of experience in a data engineering or data analyst role with a proven track record of working with large-scale data ecosystems. Technical Skills : Hands-on experience with PySpark for big data processing. In-depth knowledge of the Databricks platform. Strong experience with AWS cloud services (e.g. S3 EC2 Redshift EMR). Demonstrated expertise in data visualization and reporting with Tableau or Power BI .
Responsibilities
- Data Pipeline Development and Management : Design construct install test and maintain highly scalable data management systems. Develop and optimize ETL / ELT pipelines using PySpark and Databricks to process large volumes of structured and unstructured data.
- Cloud Infrastructure : Utilize AWS services for data storage computation and orchestration ensuring a reliable and efficient data infrastructure.
- Data Analysis and Insights : Collaborate with business stakeholders to understand customer experience challenges and opportunities. Analyze complex datasets to identify trends patterns and insights related to customer behavior network performance product usage and churn.
- Business Use Case Analysis : Apply your analytical skills to various customer experience use cases including :
Churn Prediction : Develop models to identify customers at risk of leaving and understand the underlying drivers.
Qualifications
Expert-level proficiency in Python and SQL .
Key Skills
Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics
Employment Type : Full-time
Experience : years
Vacancy : 1
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Senior Data Analyst • West Chester, Ohio, USA
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