Data Analyst Associate

Job Description & Summary

A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. 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.

• Delegate to others to provide stretch opportunities, coaching them to deliver results.

• Demonstrate critical thinking and the ability to bring order to unstructured problems.

• Use a broad range of tools and techniques to extract insights from current industry or sector trends.

• 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.

Data Analyst Role

●      Responsible for creating, evaluating and modifying prototypes to support evolving hardware and software application development.

●      Experience in Data analysis with multi domain datasets, Data sovereignty and data governance with network and cloud technologies. Able to deliver data mapping specifications for large reporting applications.

●      Deliver useful insights to decision-makers to influence experience design strategy

●      Produce datasets and reports for analysis using analytics and various reporting tools.

●      Will be responsible in developing design concept and implementation, providing input on user design considerations, producing specifications describing user needs and internal structures for product in development.

●      Document detailed user stories in Agile Product Development methodology; Groom the user stories with cross functional teams.

●      Hands-on experience with one or more language(s) used for querying (e.g., SQL, HQL)

●      Familiarity with big-data/analytics platforms/languages like Hadoop, Snowflake, Oracle with user access management and security.

●      Work with multiple sophisticated data sets to accelerate operational and strategic data-oriented decision-making. Understand the opportunities and business drivers building insight and solutions for those through data

●      Knowledge of designing, implementing, deploying, and maintaining the ETL/ELT process and data flow, including data quality using various data integration tools.

●      Identify, analyze, and interpret trends or patterns in complex data sets using statistical techniques and provide ongoing reports and dashboards including but not limited to Tableau

●      Able to assess the effectiveness and accuracy of new data sources and data gathering techniques

●      Should have experience with database design, from requirements analysis to conceptual, logical and physical data model designs for transactional applications.

●      Able to be technically adept at learning new technologies, architectural methodologies and adapting our practices to support frequent changes in the data environment.

●      Collaborate with team members, DBAs, architects and subject area owners to create scalable data models ensuring that database designs and modeling standards are in alignment with Enterprise Modeling best practices

Required Skills

Data Analytics