Senior Data Quality Analyst

1 month ago

Bengaluru, India SPG CONSULTING AND SOLUTIONS SERVICES PVT LTD Full time

Job Purpose :

If you are driven and want to make a difference with your problem-solving and data quality skills, adept at gathering requirements and working with key stakeholders and leaders to understand their DQ challenges, building complex DQ rules to accomplish the data quality thresholds needed by business.

Have a keen sense of urgency in resolving the critical DQ issues and deploy a robust end to end remediation process. This role ultimately acts as a driving force behind building an industry-leading DQ engine and remediation process to achieve data adoption and promote trusted data within Caterpillar Finance data platforms.

- The overall goal is to ensure the data quality meets the expectations needed for the business and that the data is governed and managed to meet brand, legal, information security & privacy, and document retention standards.

- Be an expert with data quality tools and industry practices and know how to incorporate advanced analytics into data quality and data management.

Job duties/responsibilities include but are not limited to the following :

Business Skills :

- Good requirement-gathering skills and experience as a technical business analyst.

- Know the DQ framework and approach in the context of financial data.

- Good with documentation and creating process maps - for example technical design documents, Requirement Docs, BRDs, Project Plan, Status Decks, etc.

- Good communication and relation-building skills to engage stakeholders.

- Tactile with a strategic vision to scale DQ solution.

- Go-getter and a problem solver.

Technical Skills :

- Snowflake And Snowpark

- Proven experience in designing, implementing, and optimizing data solutions using Snowflake.

- Strong proficiency in Snowpark for developing data processing pipelines and tasks.

Python And SQL :

- Advanced proficiency in Python and SQL for data manipulation, transformation, and analysis.

- Ability to write complex queries and scripts to automate data quality processes.

Power BI :

- Demonstrated experience in developing and maintaining Power BI reports and dashboards.

- Ability to integrate data quality measures & KPIs into Power BI visualizations.

Alation Data Governance (Nice To Have) :

- Familiarity with Alation data cataloging tool for metadata management and data governance.

- Experience using Alation for data discovery, documentation, and collaboration.

Data Quality Frameworks And DQ Development :

- Strong understanding of data quality principles and experience implementing data quality frameworks.

- Deep knowledge of DQ dimensions and how to create reusable mapplets/rules for easy scalability.

- Knowledge of data profiling, cleansing, and enrichment techniques.

- Expert at developing custom DQ rules using SQL/Python scripts, adept at building complex DQ engine to support business needs.

Version Control :

- Proficiency in version control systems, such as Git, for managing code and configuration changes.

Collaboration Tools :

- Experience using collaboration tools like Jira or similar for task tracking and project management.

Database Skills :

- Solid understanding of relational DB and datalake warehouse concepts and experience working with various databases.

Scripting And Automation :

- Ability to create and maintain automated scripts for data validation and cleansing.

- Strong experience with process automation using AL/ML techniques.

Troubleshooting And Optimization :

- Strong analytical and troubleshooting skills, with the ability to optimize and enhance existing data solutions.

- Manages data quality issues across master data and transactions data domains and meets service level agreements for incident and request management.

- Analyzes code, logs, and current systems as part of advanced troubleshooting.

Basic Qualifications :

- Candidate should have 5-8 years of data management & quality experience or other equivalent job experiences.

- The position requires a college or university degree or equivalent experience.

- Background would include working experience with Query writing, data analysis and other analytical tools.

- Full Office Product knowledge is required.

- The position requires solid knowledge of company products, services, product applications, and business models, as well as a global business understanding.

Data quality certification preferred :

- DAMA - DMBOK certification preferred.

(ref:hirist.tech)

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