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CAI Data Quality Analyst in India

Data Quality Analyst

Req number:

R2448

Employment type:

Full time

Worksite flexibility:

Hybrid

Who we are

CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

Excellent Job opportunity for a Data Quality Analyst with good experience with Collibra

Job Description

We are looking for a highly skilled and motivated Data Quality Analyst to join our dynamic team. This position will be Full time and Hybrid based out of Bangalore.

What You’ll Do

  • We are currently looking for a Data Quality Analyst, who will play a crucial role in ensuring the accuracy and integrity of our data. Your main responsibilities will include conducting comprehensive data audits, identifying, and resolving any data quality issues, and implementing robust data quality standards.

  • In this role, you will be working closely with our cross-functional teams to understand their data requirements and provide insights to improve data quality. You will have the opportunity to collaborate with stakeholders across the organization to develop and implement data quality strategies and best practices.

  • To excel in this position, you should have a strong background in data analysis and quality assurance. Your keen attention to detail, coupled with your exceptional problem-solving skills, will enable you to identify and rectify any discrepancies in our data. You should also possess excellent analytical skills and be proficient in SQL, Excel, Collibra and other data management tools.

  • Conduct thorough data audits to identify any discrepancies or inconsistencies in data quality tool like Collibra.

  • Collaborate with internal teams to understand data requirements and provide solutions to enhance data quality

  • Collaborate with Corporate Data Quality Teams.

  • Develop and implement data quality standards and best practices

  • Analyse complex datasets to identify patterns, trends, and insights

  • Ensure data integrity and accuracy by performing regular data validation checks

  • Collaborate with stakeholders to understand their data needs and provide recommendations for data quality improvement

  • Participate in the design and implementation of data quality control processes

  • Communicate data quality issues and solutions effectively to both technical and non-technical stakeholders

  • Stay up to date with the latest industry trends and advancements in data quality practices

What You'll Need

  • Bachelor's degree in computer science, Information Systems, or a related field.

  • Proven experience in data analysis and quality assurance

  • Proficiency in SQL, Excel, and data management tools like SAP MDG, Collibra / Informatica.

  • Strong attention to detail and problem-solving skills

  • Excellent communication and interpersonal skills

  • Ability to work independently and collaborate effectively in a team environment

  • Strong organizational skills and ability to manage multiple priorities

  • Knowledge of data quality frameworks and methodologies.

Physical Demands

  • Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.

  • Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor.

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

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