EY is hiring for the positions of Data and Analytics in Bengaluru, India. Candidates with a Bachelor’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | EY |
| Position | Data and Analytics – Pricing and Commercial |
| Qualifications | Bachelor’s Degree |
| Experience | Experienced |
| Location | Bangalore, India |
Key Responsibilities:
Essential Functions:
- Analyze and interpret both structured and unstructured data using statistical and quantitative techniques to deliver actionable insights and generate recurring reports.
- Design and build data pipelines and workflows for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python.
- Collaborate with stakeholders to gather requirements, prioritize business needs, and translate complex business problems into data-driven analytical solutions.
- Develop, maintain, and enhance scalable analytics dashboards and solutions that support pricing strategies and inform commercial decision-making.
- Identify and recommend opportunities for improving processes and operational efficiency through data-driven analysis.
- Present complex analytical findings in a clear, impactful, and actionable manner tailored to both technical and non-technical audiences.
Analytical / Decision-Making Responsibilities:
- Apply a hypothesis-driven approach to analyze complex or ambiguous data, and synthesize insights to inform strategic business decisions.
- Advocate and implement best practices in data analysis, modeling, and visualization, while customizing methodologies to align with specific project requirements.
- Address analytical challenges with a blend of creativity and methodological rigor, applying innovative thinking across diverse business scenarios.
- Prioritize tasks based on their potential business impact and consistently deliver high-quality, timely results in dynamic and fast-changing environments.
- Exercise sound judgment in selecting appropriate methods, tools, and data sources to effectively support business goals and objectives.
Supervision Responsibilities:
- Operates independently with minimal supervision, exercising sound judgment in daily activities.
- Collaborates closely with cross-functional teams, including sales, pricing, and commercial strategy units.
- Provides mentorship and technical guidance to junior team members, fostering development in both technical skills and domain knowledge.
Eligibility Criteria:
- A bachelor’s degree in a STEM discipline relevant to data analytics, data engineering, or data science is required.
- Preferred fields include Computer Science, Statistics, Data Analytics, Artificial Intelligence, Operations Research, or Econometrics.
Knowledge and Skills Requirements:
- Demonstrated experience in roles such as data analyst, business analyst, data engineer, or similar data-focused positions.
- Strong analytical skills with the ability to collect, organize, analyze, and accurately present large and complex datasets.
- Solid foundational knowledge of statistics, including key concepts such as distributions, variance, and correlation.
- Proficient in documenting analytical processes and effectively communicating findings to both technical and non-technical stakeholders.
- Hands-on experience with Power BI for designing, developing, and maintaining business intelligence and analytics solutions.
- Proficient in Python and SQL, with strong programming and scripting capabilities.
- Skilled in using tools such as Pandas, T-SQL, and Power Query M for querying, transforming, and cleansing data.
- Practical experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems.
- Strong data visualization skills using Power BI and Python libraries like Matplotlib and Seaborn.
- Experience in defining and designing key performance indicators (KPIs) and aligning analytical insights with business objectives.
Preferred Skills:
- Familiarity with the Microsoft Fabric data analytics environment.
- Proficiency in using Apache Spark, particularly with PySpark and Spark SQL, for distributed data processing.
- Exposure to implementing machine learning or artificial intelligence solutions in real-world business scenarios.
- Working knowledge of Python machine learning libraries such as scikit-learn, XGBoost, PyTorch, or Hugging Face transformers.
- Experience with Microsoft Power Platform tools, including Power Apps, Power Automate, Dataverse, Copilot Studio, and AI Builder.
- Understanding of pricing strategies, commercial analysis, or competitive intelligence methodologies.
- Experience with cloud-based data services, particularly within the Azure ecosystem, such as Azure Synapse Analytics and Azure Machine Learning.
Other Requirements:
- Works primarily with a distributed team based in the Eastern Time Zone (UTC −4:00 / −5:00).
- Occasional travel may be required as part of this role.
Experience:
- A minimum of 3 to 6 years of professional experience in data analysis, data engineering, or a related discipline.
- Prior experience in a professional services environment is highly desirable.
About Company:
EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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