4 - 8 years
Posted:1 day ago
Responsibilities
- Analyzing client data sets using SQL and data analysis tools to identify trends, patterns, and anomalies
- Developing and maintaining data models, queries, and validation checks to support recurring reporting and insights- Translating business questions into analytical approaches that clarify assumptions, variables, and data sources- Creating visualizations and dashboards in tools such as Power BI or Tableau to communicate findings clearly- Performing data preparation, cleansing, and integration tasks across structured sources to improve consistency and usability- Interpreting analytical results and drafting concise summaries that support decision-making and next-step planning- Applying statistical techniques and scenario analysis to assess outcomes and highlight key drivers- Collaborating with client teams and internal stakeholders to clarify requirements, review outputs, and adjust workstreams- Mentoring junior team members on analytical methods, data handling, and deliverable development- Upholding professional and technical standards while delivering work across multiple priorities and shifting client needs
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: A Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)- Demonstrating client-facing data analysis within complex engagement settings- Applying SQL to interpret data and inform recommendations- Using Power BI, Python, or SAS for dashboards and modeling- Anticipating team needs while mentoring junior team members
Free courses, interview questions and practice for each skill.
Hybrid
Full Time
PwC
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