Looking to build a career in data quality and analytics? Data Radian Technologies is hiring Data Quality Analysts to help ensure the accuracy, integrity, and reliability of our data. Join a team of experts in IT services and consulting and contribute to shaping innovative data solutions. If you’re passionate about working with data, identifying discrepancies, and improving processes, this might be the perfect role for you!

Data Radian Technologies Job Overview

Key Responsibilities:

• Data Validation: Verify the accuracy, completeness, and consistency of data across systems and sources. Identify discrepancies and resolve issues.
• Data Quality Assurance: Perform quality checks on data to ensure compliance with business standards and regulations.
• Data Integrity: Maintain data accuracy throughout its lifecycle, ensuring reliability from ingestion to reporting.
• Issue Identification & Resolution: Troubleshoot and resolve data quality issues by conducting root cause analyses.
• Collaboration: Work closely with data engineers, business teams, and analysts to improve data quality.
• Documentation: Maintain detailed documentation on data quality processes and improvements.
• Reporting & Monitoring: Manage data quality dashboards to monitor key metrics.
• Data Governance: Contribute to creating and enforcing data governance policies.

Qualifications & Skills:

• Required:
• Bachelor’s degree in a relevant field.
• Strong attention to detail and a focus on data accuracy.
• Familiarity with SQL for data validation and profiling.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and meet deadlines.
• Preferred:
• Experience with data quality tools and technologies like Snowflake.
• Understanding of data governance and management principles.

Job Scenario – Example of Data Validation

Imagine you’re reviewing customer order data. How would you ensure its quality and consistency? Here’s a sample table:

ORDER TABLE:

Your goal as a Data Quality Analyst would be to identify errors such as inconsistent date formats, missing quantities, and duplicate order IDs. By running data validation checks, you would flag these issues and ensure they are corrected.

How to Apply:

Interested in joining the Data Radian Technologies team? Follow these simple steps:

1. Click the “Apply” link provided on the job posting to be redirected to the application page.
2. Submit your resume and provide relevant details.
3. Wait for a confirmation email from the hiring team regarding the next steps.

Disclaimer: Please note, we do not charge any fees for applying to this role. This job information is sourced from official channels and is provided for informational purposes only.

Resume Keywords for Data Quality Analyst Role

Including relevant keywords in your resume can help it get noticed by applicant tracking systems (ATS) and hiring managers. Here are some keywords specifically tailored for the Data Quality Analyst position at Data Radian Technologies:

Key Resume Keywords:

1. Data Validation
2. Data Quality Assurance
3. Data Integrity
4. SQL
5. Snowflake
6. Data Profiling
7. Data Governance
8. Root Cause Analysis
9. Data Quality Tools
10. Dashboard Reporting
11. Cross-Functional Collaboration
12. Data Lifecycle Management
13. Attention to Detail
14. Analytical Skills
15. Compliance Requirements
16. Data Troubleshooting

Where to Insert Keywords:

• Professional Summary: Add key terms like Data Quality Assurance, Data Validation, and Data Integrity to describe your overall experience and qualifications. Example:

“Highly detail-oriented Data Quality Analyst with 2 years of experience in Data Validation, Data Governance, and SQL-based quality checks. Proven ability to maintain Data Integrity across large-scale datasets while implementing effective Data Quality Assurance processes.”

• Skills Section: List technical skills such as SQL, Snowflake, Data Quality Tools, Data Profiling, and Dashboard Reporting. Ensure these match the job description. Example:

• Data Validation
• Data Governance
• SQL and Snowflake
• Root Cause Analysis
• Dashboard Reporting

• Work Experience: Within your job descriptions, incorporate action verbs and specific terms like data integrity, data lifecycle, root cause analysis, and data quality tools to show what you’ve accomplished. Example:

• Conducted comprehensive data validation across multiple systems, ensuring 98% data integrity in critical business operations.
• Collaborated with engineering teams to resolve discrepancies, using root cause analysis and improving data quality by 20%.

• Projects/Accomplishments: If you have led or participated in any data quality improvement projects, highlight these using keywords such as data quality assurance and data governance. Example:

• Developed and implemented data quality dashboards to monitor key performance indicators (KPIs) and reduce discrepancies by 15%.

Interview Tips for Data Quality Analyst Role

Here are some tips to help you ace the interview for the Data Quality Analyst position:

1. Be Ready to Talk About Data Validation and Integrity

• Expect questions related to data validation processes and ensuring data integrity. Be prepared to give examples from your experience or describe how you would approach data discrepancies (like in the sample scenario).
• Example: “Can you walk us through a time when you identified a major data discrepancy and how you resolved it?”

2. Showcase Your SQL Knowledge

• SQL is a critical skill for this role. Prepare to answer questions or even take a small technical test involving basic queries, data extraction, and validation using SQL.
• Example: “How would you use SQL to check for duplicate entries in a dataset?”

3. Highlight Your Problem-Solving and Analytical Skills

• The job involves root cause analysis and troubleshooting data issues. When asked about problem-solving, use the STAR method (Situation, Task, Action, Result) to structure your answers.
• Example: “Describe a situation where you had to perform a root cause analysis to identify a data quality issue and how you resolved it.”

4. Communicate Your Ability to Collaborate

• Since this role involves working with cross-functional teams, emphasize your communication skills and ability to collaborate with engineers, analysts, and business teams.
• Example: “How do you handle working with different departments to resolve a data quality issue?”

5. Familiarize Yourself with Data Governance

• Data governance is key to this role. Be prepared to discuss your knowledge of governance policies, and explain how you would contribute to enforcing them.
• Example: “What steps would you take to ensure data governance across different systems in an organization?”

FAQs

1.What is the salary range for this role?

• The salary range is between 4-9 Lacs per annum, depending on experience.

2.Is this a remote position?

• Yes, this role is fully remote, but the hiring office is located in Hyderabad/Secunderabad.

3.What qualifications do I need to apply?

• A bachelor’s degree is required, along with familiarity with SQL. Experience with data quality tools is a plus.

4.How many positions are available?

• There are 3 openings for this role.

5.Do I need experience with Snowflake?

• While experience with Snowflake is a plus, it’s not mandatory.

If you’re passionate about maintaining data quality and contributing to a data-driven organization, apply now to be part of Data Radian Technologies!

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