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S&P Global Recruitment of Software Data Quality Analyst

S&P Global provides essential intelligence. We enable governments, businesses, and individuals with the right data, expertise, and connected technology so that they can make decisions with conviction. From helping our customers assess new investments to guiding them through sustainability and energy transition across supply chains, we unlock new opportunities, solve challenges, and accelerate progress for the world.

Job Designation: Software Data Quality Analyst

Qualification: Bachelor’s degree

Experience: Freshers/ Experienced

Skill Set :

  1. Sound knowledge of data within databases, including knowledge of SQL.
  2. Proficiency in querying relational and non-relational database types.
  3. Familiar with the agile development life cycle framework and related tooling such as Jira or Rally is helpful.
  4. Proficient with software development lifecycle (SDLC) methodologies like Agile, and Scrum development.
  5. Familiarity with data profiling, rule development, and automation, data quality dimension standardization, monitoring, workflow creation, and issue remediation is helpful.
  6. Excellent written and verbal communication skills in English.

Job Description :

The Data Quality team plays a pivotal role in the S&P Global Commodity Insight’s strategic transformation from a traditional data organization into a next-generation data intelligence organization. In this role as a Data Quality Analyst, you will strive to improve relevant dimensions of data quality for critical data assets, ensuring the availability of high-quality, trusted data across the organization. The role will collaborate with stakeholders, analysts, and team members on an international level.

These efforts are occurring within the broader context of major strategic initiatives to extend our market leadership and build next-generation market data, insights, and analytics products that are powered by our world-class datasets. In short, the Data Quality Analyst is an introductory role in data quality working with cutting-edge technology to ensure data is of the highest quality.

  1.  In this role, you will be responsible for the day-to-day operational execution of data quality priorities including the management of data quality rules, anomaly detection and validation, coordination of issue resolution processes, and capturing metrics.
  2. Collaborate with data subject matter experts both on the business and technical side to translate business requirements into data quality requirements, validate data quality results, and coordinate issue resolution and escalation.
  3. Partner with technical teams to prioritize data sets for ingestion into data quality tooling and ensure data quality profiling and monitoring setup per defined best practices.
  4. Within data quality tooling, review out-of-box data quality profiling results, author and execute reusable custom data quality rules.
  5. Capture data-driven metrics to demonstrate business value and bring visibility to improvement opportunities.
  6. Pursue data quality integration and automation opportunities at data ingestion points, as well as within internal applications and dashboards.

Location: Bengaluru, Karnataka, India

Apply Link: click here


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