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Seniopr Data Quality Analyst

Crisil

5.0 - 8.0 years

Pune

Work from Office

KEY ACCOUNTABILITIES Design, develop, and maintain data quality rules, metrics, and dashboards Identify, analyze, and resolve data quality issues and anomalies using data profiling, data cleansing, and data governance practices Provide production support for data quality tools, including monitoring jobs, troubleshooting rule execution failures, managing incident tickets, and ensuring timely resolution of operational issues. Collaborate with data engineers, business analysts, and business stakeholders to understand data requirements, sources, and flows Implement data quality best practices and standards across the data lifecycle Monitor and report on data quality performance and trends Conduc...

Posted 1 week ago

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Customer Data Insights Application Engineer

Teamware Solutions

5.0 - 9.0 years

Bangalore

On-site

As a Customer Data Insights Application Engineer, your role is crucial in transforming fragmented customer data into actionable intelligence, supporting regulatory compliance, and enabling strategic decision-making across the organization. **Key Responsibilities:** - **Application Setup and Deployment:** - Assist in the deployment and configuration of customer data analytics platforms and tools. - Develop and maintain data pipelines for ingestion, cleansing, and enrichment. - Collaborate with internal stakeholders and external vendors for data processes. - Ensure seamless integration with existing enterprise systems and data warehouses. - **Customer Data Engineering:** - Implement logic for ...

Posted 3 weeks ago

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Data Analyst Developer

Sutherland

4.0 - 8.0 years

Hyderabad, All india

On-site

As a Data Analyst / Developer supporting the Business Intelligence & Analytics (BIA) team, your role will involve understanding business needs, translating them into technical solutions, and delivering high-quality outputs in Tableau for smaller change requests and projects. Being detail-oriented, proactive, and comfortable working directly with business users will be key for success in this role. **Responsibilities:** - Understand and document business requirements from stakeholders. - Perform data analysis and profiling to support decision-making. - Develop and maintain reports, dashboards, and visualizations in Tableau. - Support and maintain BI tools and data refresh processes. - Ensure ...

Posted 3 weeks ago

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Exploring Data Cleansing Jobs in India

In recent years, the demand for data cleansing professionals has been on the rise in India. As companies continue to collect vast amounts of data, the need to clean and organize this data for accurate analysis has become crucial. Job seekers looking to enter the field of data cleansing can find a wide range of opportunities in various industries across the country.

Top Hiring Locations in India

If you are considering a career in data cleansing, here are five major cities in India where companies are actively hiring for roles in this field: - Bangalore - Mumbai - Delhi - Hyderabad - Pune

Average Salary Range

The salary range for data cleansing professionals in India can vary based on experience and location. On average, entry-level positions may offer salaries ranging from INR 3-5 lakhs per annum, while experienced professionals can earn anywhere from INR 8-15 lakhs per annum.

Career Path

In the field of data cleansing, career progression typically follows a path similar to the following: - Data Cleansing Analyst - Data Cleansing Specialist - Data Cleansing Team Lead - Data Cleansing Manager

Related Skills

In addition to data cleansing expertise, professionals in this field are often expected to have knowledge of the following skills: - Data analysis - Database management - Programming languages (e.g., SQL, Python) - Data visualization tools (e.g., Tableau)

Interview Questions

Here are 25 interview questions you may encounter when applying for data cleansing roles, categorized by difficulty level:

Basic:
What is data cleansing and why is it important?
What are some common data quality issues?
How do you identify duplicate records in a dataset?
Explain the difference between data cleaning and data validation.
How would you handle missing values in a dataset?
Medium:
What tools do you use for data cleansing?
Can you walk us through your process for cleaning a dataset?
How do you ensure data security and privacy during the cleansing process?
What are some techniques for outlier detection in data cleansing?
How do you handle data inconsistencies across multiple sources?
Advanced:
Describe a complex data cleansing project you worked on and how you resolved challenges.
How do you measure the effectiveness of a data cleansing process?
Explain the concept of fuzzy matching in data cleansing.
What are some best practices for maintaining data quality over time?
How do you handle big data sets in data cleansing projects?

Closing Remark

As you explore opportunities in the field of data cleansing, remember to continuously enhance your skills and stay updated on industry trends. By preparing thoroughly and applying confidently, you can build a successful career in this fast-growing sector. Good luck with your job search!

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