Job Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
Key Responsibilities:
- Define and implement Data quality framework, standards, rules & best practices
- Prior experience leading large scaleDQimplementations
- Lead the implementation ofDQsolution and developintegration pipelines to onboard new sources.
- Engage with stakeholders to perform requirement gathering, and solution presentation.
- Collaboratewith Architects to build scalable data quality solutions and incorporate automation
- Perform data analysisto identifyanomalies, gaps and inconsistencies.
- AnalyzetheDQexecutions and currentDQrules to recommendcustomDQrules to improve data accuracyand reliability.
- LeverageDQtools like CollibraDQand other tools to implement automation and quality standards.
- Lead and guide the implementation team in solution design and build activities
- Must have hands-on experience in implementing largeDQsolutions using tools like CollibraDQ, InformaticaDQandsimilar tool
- Technical Expertise: Strong knowledge of SQL, ETL, data governance, and modeling.
- Hands-on Experience: Skilled in CollibraDQ, InformaticaDQand similar tools.
- Experience with Data architecture(Data Mesh) and implementing ETL on Snowflake,Azure
Requirements
- 10+ years of experience working in Data Governance or Data Management experience within a global CPG (Consumer Packaged Goods) company or similar industry.
- Strong data management background who understands data, how to ingest data, proper data use/consumption, data quality, and stewardship.
- Ability to partner with both business and technical subject matter experts to ensure standardization of operational information and execution of enterprise-wide data governance policies and procedures are defined and implemented.
- Experience working with SQL, Axon, PO, Invoice data, and Accounts Payable.
- Experience with SAP (Material and vendor master).
- Experience with Global Procurement systems like SpendHQ or Ariba MyBuy, Global Procurement (spend data).
- Preferred experience working with SAP S/4 HANA and SAP MDG
- Preferred experience with Informatica (EDC, Axon, IDQ), Intermediate Advanced Excel
- Strong analytical and problem-solving skills with the ability to translate business needs into data governance solutions.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Qualification
Bachelor's Degree
Key skill Required
- SQL
- Architecture
- Automation
- Advanced Analytics
- Azure
- Data Architecture
- Data Governance
- Accounts
- Accounts Payable
- Analytics
- Career Development
- Consulting
- Consumer Packaged Goods
- Data Management
- Data Quality
- Data Quality Framework
- Data Science
- Design
- Development
- Global Procurement
- Governance
- Implementation
- Leadership
- Learning
- Machine Learning
- Management
- Market Research
- Policies and Procedures
- Presentation
- Quality Framework
- Quality Standards
- Research
- Science
- Standardization
