Data Analyst
Girls Who Invest
PythonSQLTableau
Cloud Data & Analytics Manager – Insurance
PwC
full-time
Posted on:
Location Type: Hybrid
Location: New York City • Illinois, New York, North Carolina, Ohio • 🇺🇸 United States
Visit company websiteSalary
💰 $99,000 - $232,000 per year
Job Level
SeniorLead
Tech Stack
AWSAzureCloudCognosETLGoogle Cloud PlatformHadoopKafkaMatillionPythonScalaSparkSQLSSISTableauVault
About the role
- Align client data strategies to their business strategy
- Assist clients in choosing a platform
- Define their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata
- Work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution
- Use data and insights to inform conclusions and support decision-making
- Develop a point of view on key global trends, and how they impact clients
- Collaborate closely with business stakeholders to capture and document business objectives/requirements
Requirements
- Minimum Degree Required : Bachelor Degree
- Minimum Years of Experience : 7 year(s)
- Certification(s) Preferred : Certification in one of the following cloud platforms - AWS/Azure/GCP/Snowflake
- Understanding and experience with modern cloud data architectures and engineering for one or more following cloud providers - AWS, Azure, GCP
- Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.)
- Extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas)
- Work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic);
- Proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark
- End-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse
Benefits
- medical
- dental
- vision
- 401k
- holiday pay
- vacation
- personal and family sick leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
cloud data architecturedata integration patternsETLELTSQLBig data engineeringdata warehousingdata governanceMaster Data Managementreport generation
Soft skills
collaborationproblem solvingcommunicationstrategic thinkingdecision making
Certifications
AWS certificationAzure certificationGCP certificationSnowflake certification
