Senior Consultant/Deputy Manager/Manager - Data Quality Analytics - SAS + DataFlux

Looking for professionals with 2-7 years of experience into SAS and DataFlux.

Responsibilities:

The DQ SME must assess, define, manage, and implement initiatives to improve data quality programs within an enterprise. Should leverage analytical and functional skills to innovate, build and maintain well managed data solutions and capabilities to tackle business problems. The person will be responsible to -

- Evaluate data governance, data quality and data reporting processes for gaps, inefficiencies, and opportunities; provide recommendations for improvement

- Responsible for data quality (data integrity, accuracy, trust, etc.) across all delivery initiatives

- Responsible for defining standards and best practices for data analysis, modeling, and business rules/logic definition

- Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management

- Should have experience in implementing solutions and processes for management and governance across data profiling and remediation metrics, metadata definition and stewardship rules & processes

- Should document and maintain data dictionary, data quality definitions and usage at the concept and data element level on Data Repositories (EDW, Data Lake, Data Mart, etc.)

- Should have a tool agnostic point-of-view on data quality implementations programs and ability to recommend a best practice tool as per client situations and scope of work

- Responsible to exert influence and oversee input processes that feed system to ensure consistent inputs in compliance with compliance standards and policies

- Act as an SME during design and implementation of data quality activities using right set to tools, technologies, policies/processes/controls, frameworks, standards, methodologies, and best practices

- Should be well versed with DQ KPIs/Dashboards and be able to define, implement, monitor and report DQ related KPIs and metrics within the organization

- Should have exceptional organizational skills, with the ability to handle complex projects in a multi-tasking and multi-client environment and meet deadlines while delivering high quality results

Skill & Qualifications:

- 2-7 experience as a technical or domain consultant in the field of data quality

- Expert hands-on experience on at least 1-2 leading data quality tools (Informatica, Talend, IBM, SAP, SAS, Syncsort/Trillium, et al)

- Hands on experience on data integration and BI/Visualization tool is preferred

- At-least two large scale data driven project as a DQ Architect/SME is mandatory

- Proficient knowledge on at least 1 industry domain (Financial Services, Pharma & Healthcare, Telecom or Retail & eCommerce) and related products/services

- Preferably, working experience in regulatory & risk compliances or data monetization programs

- Effective communication, stakeholder management and inter-personal skills