Associate Business Analyst, Data and Analytics

Associate Business Analyst, Data and Analytics at PwC India

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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Why PwC India

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities

Business Analyst Responsibilities:

• Analyze solutions through the lens of client requirement metrics as well as business domain.
• Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business Intelligence solutions.
• Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc., to drive key business decisions.
• Work with data engineering, machine learning, and software development teams to enable the appropriate capture and storage of key data points.
• Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication.
• Execute quantitative analysis that translates data into actionable insights.
• Influence new opportunities for business based on internal and external data.

Qualifications

• Minimum of 2+ years of relevant work experience in a Business Analyst, Data Analyst, or similar role.
• Strong analytical and problem-solving skills.
• Proficiency in business analysis tools and methodologies (for BA role).
• Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS (for DA role).
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).
• Experience with project management and Agile methodologies is a plus.

Mandatory Skill Sets

SQL, Advanced Excel, PowerPoint, and other scripting languages (R, Python, etc.)

Preferred Skill Sets

SQL, Advanced Excel, PowerPoint, and other scripting languages (R, Python, etc.)

Years of Experience Required

3-8 Years

Education Qualification

BE, B.Tech, MCA, M.Tech

Degrees/Field of Study Required:

Bachelor of Technology

Required Skills

• Business Analysis

Optional Skills

Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Pipeline, Data Quality, Data Strategy

Key skills/competency

• Business Analysis
• Data Analysis
• SQL
• Python
• R
• Tableau
• Power BI
• Excel
• Stakeholder Engagement
• Quantitative Analysis