RESPONSIBILITIES:
Ability to look at data, conduct EDA and connect with business needs
Clean up and highlight inconsistencies in data Perform Data Discovery and Data Analysis (e.g.

data fit for purpose, data completeness Strong data management background who understands data, how to ingest data, proper data use/consump on, data quality, and stewardship. Ability to partner with both business and technical subject ma er experts to ensure business rules are converted properly to transforma on mappings Highly mo vated with ability to priori ze and handle mul ple assignments in a fast-paced environment. Strong knowledge and understanding of data elements and processes. Analy cal mindset with Strong Communica on Skills/Able to Persuade/Influence Others at all Organiza on Levels and the ability foster las ng partnerships. Ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, opmized design. Foster las ng rela onships across varying organiza onal levels and business segments with the maturity to interface with all levels of management. REQUIREMENTS: 4-7 years of professional work experience with at least 3 years in data analy cs Ability to engage with stakeholders from client's team to translate business Azure Dev Ops, Azure stack knowledge, Strong SQL, Databricks required Retail CPG, Consumer and Commercial Domain required Demonstrated proficiency with using Excel to source, analyze, normalize and process data to define requirements for ongoing processing and management of the data including quality valida ons. Exposure to cloud pla orms and big data systems such as Hadoop HDFS, Hive is a plus Ability to work with IT and Data Engineering teams to help embed analy c outputs in business processes Graduate in Business Analy cs or MBA or equivalent work experience.