Senior Associate SAP D&A PwC Service Delivery Center

5 - 10 years

10 - 14 Lacs

Kolkata

Work from Office

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 purposeled and valuesdriven 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 . s Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. 510 years experience on SAP BW. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Mandatory skill sets SAP BW Hana/SAP Native Hana/SAP SAC/SAP Datasphere Preferred skill sets SAP BW Hana/SAP Native Hana/SAP SAC/SAP Datasphere

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Senior Associate SAP Analytics D&A PwC Service Delivery Center

5 - 10 years

13 - 17 Lacs

Kolkata

Work from Office

Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. 510 years experience on SAP BW. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Mandatory skill sets SAP SAC/SAP Native Hana/SAP SAC Preferred skill sets SAP SAC/SAP Native Hana/SAP SAC

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Senior Associate SAP Analytics D&A PwC Service Delivery Center

5 - 10 years

13 - 17 Lacs

Kolkata

Work from Office

Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. 5-10 years experience on SAP BW. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Mandatory skill sets SAP SAC/SAP Native Hana/SAP SAC Preferred skill sets SAP SAC/SAP Native Hana/SAP SAC

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Exploring Data Mining Jobs in India

India has seen a significant rise in demand for data mining professionals in recent years. With the growth of industries such as e-commerce, finance, healthcare, and more, the need for skilled individuals who can analyze large datasets and extract valuable insights has never been higher. For job seekers looking to enter the field of data mining, India offers numerous opportunities for growth and development.

Top Hiring Locations in India

Bangalore
Mumbai
Delhi
Hyderabad
Pune

Average Salary Range

The average salary range for data mining professionals in India varies based on experience levels. Entry-level positions can expect to earn between INR 4-6 lakhs per annum, while experienced professionals can earn upwards of INR 15 lakhs per annum.

Career Path

In the field of data mining, a typical career path may include roles such as Data Analyst, Data Scientist, Senior Data Scientist, and eventually Chief Data Officer. This progression often involves gaining expertise in statistical analysis, machine learning, and data visualization.

Related Skills

In addition to proficiency in data mining techniques, professionals in this field are often expected to have skills in: - Programming languages such as Python and R - Statistical analysis - Machine learning algorithms - Data visualization tools like Tableau or Power BI

Interview Questions

What is data mining and how does it differ from data analysis? (basic)
Explain the different types of data mining techniques. (medium)
How do you handle missing values in a dataset during data mining? (basic)
What is overfitting in machine learning models and how can it be prevented? (medium)
Can you explain the process of feature selection in data mining? (medium)
What is cross-validation and why is it important in data mining? (advanced)
How do you assess the performance of a classification model? (medium)
What is the curse of dimensionality and how does it affect data mining? (advanced)
How would you handle imbalanced datasets in data mining? (medium)
Explain the difference between supervised and unsupervised learning in data mining. (basic)
What is the importance of exploratory data analysis in the data mining process? (basic)
How do you determine the optimal number of clusters in a clustering algorithm? (medium)
Can you explain the bias-variance tradeoff in machine learning models? (medium)
What is the role of ensemble learning in data mining? (medium)
How do you handle outliers in a dataset during data preprocessing? (basic)
Explain the difference between precision and recall in the context of classification models. (medium)
What is the purpose of dimensionality reduction techniques in data mining? (medium)
How do decision trees work in the context of machine learning? (basic)
Can you explain the concept of support vector machines (SVM) in data mining? (medium)
How would you assess the multicollinearity of variables in a dataset? (medium)
What is the importance of data normalization in the data mining process? (basic)
Explain the process of feature engineering in data mining. (medium)
How do you evaluate the performance of a regression model? (medium)
What are some common algorithms used for association rule mining? (medium)
Can you explain the concept of ensemble learning and provide examples? (advanced)

Closing Remarks

As you delve into the world of data mining jobs in India, remember to equip yourself with the necessary skills and knowledge to stand out in a competitive job market. Prepare thoroughly for interviews, showcase your expertise, and apply confidently to secure your dream role in this exciting field. Good luck!

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