data analyst.

The analyst would be responsible for collaborating with stakeholders to understand the pricing requirements, work on large data sets to draw insights from historical data and provide recommendation, present & create visibility for effective decision making. The analyst would also provide recommendations to the management on process improvement opportunities, work with the concerned team to transform the process and improve the customer experience.
Should possess and demonstrate understanding of core Business and Commercial concepts including financial metrics, market dynamics, and competitive landscapes.
Communicates results to a broad range of audiences. Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.
The Key responsibilities of this role are:
1.
Design and implement advanced processes & analytics associated with a wide variety of data sets used for data/text mining, analysis & prediction to enable informed business decisions.
2.
Gain insight into key business problems & deliverables by applying highly technical analysis techniques to examine structured & unstructured data from multiple disparate sources.
3.
Collaborate with cross-functional teams to identify trends, patterns, and opportunities.
4.
Contribute to the continuous improvement of data quality and analytics processes.
Key skills needed for this role:
1.
Strong analytical skills to deliver accurate results & actionable recommendation.
2.
Good understanding on pricing models/systems, revenue & cost structures, contribution & operating margins, and P&L views
3.
Collaborate effectively (Stakeholder Management) with team members across different regions to achieve common goals, effective communication skills to communicate with people across all levels including senior management.
4.
Business process oriented, workflows. Should have setup and documented policies and procedures, internal controls\compliance mechanism for quality checked deliverables.
Qualification:
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Bachelor's degree in information systems, computer science, or a quantitative discipline. Master’s degree in relevant specification will be first preference.
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Experience requirement:
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For Data Analyst Senior role - Minimum 4 years of experience as a Data Analyst or similar role.
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For Data Analyst role - Minimum 2 years of experience as a Data Analyst or similar role.
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For Data Analyst Associate role – 0-2 years of experience as a Data Analyst or similar role.
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ETL experience in at least one platform: SAS or AbInitio or Python
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Expert in SQL; Experience in using RDBMS: Oracle, SQL Server, Teradata.
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Exposure to Power BI and VBA Macros
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Good to have: Knowledge of Azure Databricks