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Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.
Responsibilities:
Lead the design development and implementation of data architecture and solutions Oversee develop and manage data transformation processes within Snowflake to ensure data integrity quality and performance. Design and optimize Data Warehouse (DWH) and Business Intelligence (BI) architectures to support business analytics and reporting needs. Well versed with Salesforce & CPQ data and architecture. Understands financial bookings and revenue reports in Salesforce and DWH ensuring accurate reporting and reconciliation practices. Provide technical leadership and mentorship to a team of data engineers and analysts fostering a culture of innovation and continuous improvement. Collaborate with cross-functional teams to gather and analyze business requirements translating them into technical specifications and data models. Implement and maintain best practices for data management data governance and data security. Implementation of BI tools like Tableau Power BI Sigma Computing and others to enhance data visualization and reporting capabilities. Stay current with industry trends emerging technologies and best practices in data architecture data transformation and BI tools.
Mandatory skill sets:
Solution Architect Snowflake Data warehousing BI Tools Experience Data Migration on or from snowflake
Preferred skill sets:
Snowflake
Years of experience required:
Experience and Qualifications 8 to 10 years
Education qualification:
Bachelors or masters degree in computer science Information Technology or a related field. A minimum of 10 years of experience in data architecture data engineering or a related field. Proven expertise in Snowflake and data transformation processes within Snowflake. Strong background in Data Warehouse (DWH) and Business Intelligence (BI) architecture.
Experience with Salesforce & CPQ data and architecture. Proficiency with BI tools such as Tableau Power BI Sigma Computing and others. In-depth understanding of financial bookings and revenue reports in Salesforce and DWH. Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment. Strong leadership and team management skills with the ability to motivate and guide a team of technical professionals. Exceptional communication and collaboration skills with the ability to interact effectively with stakeholders at all levels.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Master Degree Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Business Intelligence Tools Data Migrations Data Warehousing (DW) Snowflake (Platform) Solution ArchitectureOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 32 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Required Experience:
Manager
Full-Time