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Data Validation Analyst Job Opening In Deerfield Beach – Now Hiring Akaasa Technologies


Job description

<p><b>Position Overview</b></p> <p>The Data Validation Analyst will play a critical role in the next phase of the Data efforts, focusing on validating the new Datawarehouse against legacy warehouse data.

This role will leverage advanced SQL skills to query, compare, and reconcile data across both environments, research discrepancies, and document solutions.

The analyst will also evaluate and implement automation tools to streamline validation processes, ensuring data integrity and supporting the transition to new systems.</p> <p> </p> <p><b>Position Responsibilities</b></p> <ul> <li>Design and execute data validation scripts to compare legacy and new Datawarehouse environments</li> <li>Develop and run SQL queries to identify, research, and resolve data discrepancies</li> <li>Document validation processes, findings, and solutions for ongoing reference and governance</li> <li>Evaluate, recommend, and implement automation tools to enhance validation efficiency</li> <li>Collaborate with Business and IT Partners to ensure alignment on validation requirements and solutions</li> <li>Capture and report on key metrics related to data quality and validation progress</li> <li>Troubleshoot data issues using SQL and reporting tools</li> <li>Provide input to data migration and integration projects to ensure data accuracy</li> <li>Interact with various teams and partners to ensure alignment on all above activities</li> </ul> <p><b>Position Qualifications</b></p> <ul> <li>Strong verbal and written communication skills</li> <li>Excellent analytical and problem-solving abilities</li> <li>3-5 years' experience with SQL, including complex queries and data reconciliation</li> <li>Demonstrated experience in data validation, data quality assessment, or data migration projects</li> <li>Experience with automation tools for data validation (e.g., ETL testing, data comparison software) a plus</li> <li>Experience modeling data and/or data governance</li> <li>Experience with Agile Methodology a plus</li> <li>Understanding of Vehicle Processing or Servicing environment a plus</li> <li>Understanding of Automotive Industry a plus</li> </ul>

Required Skill Profession

Mathematical Science Occupations


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Unlock Your Data Validation Potential: Insight & Career Growth Guide


Real-time Data Validation Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Validation in Deerfield Beach, United States, highlighting market share and opportunities for professionals in Data Validation roles.

47414 Jobs in United States
47414
162 Jobs in Deerfield Beach
162
Download Data Validation Jobs Trends in Deerfield Beach and United States

Are You Looking for Data Validation Analyst Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Akaasa Technologies adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Data Validation Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Deerfield Beach. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Validation Analyst?

Key qualifications for Data Validation Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Validation Analyst?

To improve your chances of getting hired for Data Validation Analyst, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Validation Analyst Job Success

Akaasa Technologies interview tips for Data Validation Analyst

Here are some tips to help you prepare for and ace your Data Validation Analyst job interview:

Before the Interview:

Research: Learn about the Akaasa Technologies's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Validation Analyst interview at Akaasa Technologies, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Akaasa Technologies's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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