PWC

Tax Innovation - Data Governance- Senior Associate

PWC$77K — $214K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required
  • 3+ years of relevant experience
  • Background in Analytics, Computer Science, or related fields preferred
  • Expertise in Azure Data Factory and Databricks
  • Experience with data architecture and integration strategies
  • Knowledge of data security and anonymization practices
  • Strong analytical and problem-solving skills

Responsibilities

  • Design and implement data pipelines for efficient processing
  • Develop data integration and transformation solutions
  • Utilize Azure Data Factory and Databricks for data architecture
  • Build and maintain data infrastructure for robust solutions
  • Apply analytical thinking to convert raw data into insights
  • Manage database security and uphold data integrity
  • Collaborate with teams to enhance data strategy and performance tuning

Benefits

  • Medical, dental, and vision insurance
  • 401(k) retirement plan
  • Holiday pay
  • Paid vacation and personal/sick leave
  • Annual discretionary bonus eligibility
  • Comprehensive benefits package
Full Job Description
Industry/Sector
Not Applicable

Specialism
Data Engineering

Management Level
Senior Associate

Job Description & Summary
The Opportunity

As a Tax Innovation - Data Governance Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

As a Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.

In this role at PwC, you will be at the forefront of data engineering, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will be integral to transforming data into insights that drive business growth and enable informed decision-making.

Responsibilities

- Designing and implementing data pipelines to facilitate efficient data processing and analysis
- Developing data integration and transformation solutions to support client decision-making
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data architecture development
- Building and maintaining data infrastructure to support robust data solutions
- Applying analytical thinking to transform raw data into actionable insights
- Managing database security and data anonymization to uphold data integrity
- Collaborating with teams to optimize data strategy and performance tuning
- Leveraging Snowflake Data Warehouse and Snowflake Schema for advanced data modeling
- Validating data quality and executing data validation processes to maintain accuracy
- Navigating complex client situations to build meaningful relationships and deliver quality solutions

What You Must Have

- At least a Bachelor's degree
- At least 3 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing data architecture and data integration strategies
- Implementing data anonymization and database security best practices
- Excelling in analytical thinking and problem-solving
- Navigating complex data engineering platforms like Snowflake and Databricks
- Demonstrating creativity and intellectual curiosity in data solutions

Travel Requirements
Up to 20%

Job Posting End Date

The salary range for this position is: $77,000 - $214,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About PWC

PwC is a multinational professional services network of firms headquartered in London, United Kingdom, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people. As of 2020, 26% of the workforce worked in the Americas, 26% in Asia, 32% in Western Europe, 5% in Middle East and Africa and 11% in Central and Eastern Europe and Central Asia.
Learn more about PWC
Size
284,000 employees
Industry
Founded
1998

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