About the Role
As a Specialist, you'll work as part of a team of problem solvers, helping to solve complex business issues
from strategy to execution by using Data, Analytics & Insights Skills. PwC Professional skills and
responsibilities for this management level include but are not limited to:
· Use feedback and reflection to develop self-awareness, personal strengths, and address development
areas.
· Flexible to work in stretch opportunities/assignments.
· Demonstrate critical thinking and the ability to bring order to unstructured problems.
· Ticket Quality and deliverables review, Status Reporting for the project.
· Adherence to SLAs, experience in incident management, change management and problem
management.
· Review your work and that of others for quality, accuracy, and relevance.
· Know how and when to use tools available for a given situation and can explain the reasons for this
choice.
· Seek and embrace opportunities which give exposure to different situations, environments, and
perspectives.
· Use straightforward communication, in a structured way, when influencing and connecting with others.
· Able to read situations and modify behavior to build quality relationships.
· Uphold the firm's code of ethics and business conduct.
· Demonstrate leadership capabilities by working with clients directly and leading the engagement.
· Work in a team environment that includes client interactions, workstream management, and
cross-team collaboration.
· Good Team player. Take up cross competency work and contribute to COE activities.
· Escalation/Risk management.
Requirements
Key Skills: BI Engineering
Educational Qualification: Bachelor's degree in computer science/IT or relevant field
Primary Skill: Tableau, Visualization, Excel
Secondary Skill: Power BI, Cognos, Qlik, SQL, Python, Advance Excel, Excel Macro
BI Engineer:
Should have minimum 1 year’s hand on experience building advanced Data Analytics
Should have minimum 1 years’ hands on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets)
Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc.
Should have experience in building efficient, Data analytics by using leading industry tools like Python, SQL, Spark, etc.
Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools.
Should have good knowledge of Data consumption patterns and BI tools like Tableau, Qlik sense, Power BI etc.
Should have Strong communication, problem solving, quantitative and analytical abilities. Nice to have:
Certifications in Tableau and other BI tools is an added advantage. · Certification in any cloud platform