Data and Analytics - Pricing and Commercial - Manager

Bangalore, Karnataka
Permanent
Full-time

8 hours ago

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.GDS Data and Analytics (Manager/ Senior Manager)We are seeking a passionate data analyst to transform data into actionable insights and support decision-making in a global organization focused on pricing and commercial strategy. This role spans business analysis, requirements gathering, data modeling, solution design, and visualization using modern tools. The analyst will also maintain and improve existing analytics solutions, interpret complex datasets, and communicate findings clearly to both technical and non-technical audiences.Essential Functions of the Job:

Analyze and interpret structured and unstructured data using statistical and quantitative methods to generate actionable insights and ongoing reports.
Design and implement data pipelines and processes for data cleaning, transformation, modeling, and visualization using tools such as Power BI, SQL, and Python.
Collaborate with stakeholders to define requirments, prioritize business needs, and translate problems into analytical solutions.
Develop, maintain, and enhance scalable analytics solutions and dashboards that support pricing strategy and commercial decision-making.
Identify opportunities for process improvement and opperational efficiency through data-driven recommendations.
Communicate complex findings in a clear, compelling, and actionable manner to both technical and non-technical audiences.

Analytical/Decision Making Responsibilities:

Apply a hypothesis-driven approach to analyzing ambiguous or complex data and synthesizing insights to guide strategic decisions.
Promote adoption of best practices in data analysis, modeling, and visualization, while tailoring approaches to meet the unique needs of each project.
Tackle analytical challenges with creativity and rigor, balancing innovative thinking with practical problem-solving across varied business domains.
Prioritize work based on business impact and deliver timely, high-quality results in fast-paced environments with evolving business needs.
Demonstrate sound judgement in selecting methods, tools, and data sources to support business objectives.

Knowledge and Skills Requirements:

Proven experience as a data analyst, business analyst, data engineer, or similar role.
Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately.
Foundational knowledge of statistics, including concepts like distributions, variance, and correlation.
Skilled in documenting processes and presenting findings to both technical and non-technical audiences.
Hands-on experience with Power BI for designing, developing, and maintaining analytics solutions.
Proficient in both Python and SQL, with strong programming and scripting skills.
Skilled in using Pandas, T-SQL, and Power Query M for querying, transforming, and cleaning data.
Hands-on experience in data modeling for both transactional (OLTP) and analytical (OLAP) database systems.
Strong visualization skills using Power BI and Python libraries such as Matplotlib and Seaborn.
Experience with defining and designing KPIs and aligning data insights with business goals.

Additional/Optional Knowledge and Skills:

Experience with the Microsoft Fabric data analytics environment.
Proficiency in using the Apache Spark distributed analytics engine, particularly via PySpark and Spark SQL.
Exposure to implementing machine learning or AI solutions in a business context.
Familiarity with Python machine learning libraries such as scikit-learn, XGBoost, PyTorch, or transformers.
Experience with Power Platform tools (Power Apps, Power Automate, Dataverse, Copilot Studio, AI Builder).
Knowledge of pricing, commercial strategy, or competitive intelligence.
Experience with cloud-based data services, particularly in the Azure ecosystem (e.g., Azure Synapse Analytics or Azure Machine Learning).

Supervision Responsibilities:

Operates with a high degree of independence and autonomy.
Collaborates closesly with cross-functional teams including sales, pricing, and commercial strategy.
Mentors junior team members, helping develop technical skills and business domain knowledge.

Other Requirements:

Collaborates with a team operating primarily in the Eastern Time Zone (UTC −4:00 / −5:00).
Limited travel may be required for this role.

Job Requirements:Education:

A bachelor's degree in a STEM field relevant to data analysis, data engineering, or data science is required. Examples include (but are not limited to) computer science, statistics, data analytics, artificial intelligence, operations research, or econometrics.

Experience:

6-9+ years of experience in data analysis, data engineering, or a closely related field, ideally within a professional services enviornment.

Certification Requirements:

No certifications are required for this role.

EY | Building a better working worldEY exists to build a better working world, helping to 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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