Roles and Responsibilities:

• Architecting and designing analytics platform solution for clients

• Identifying data sources and defining data pipeline, segmentation, and performance engineering for scale

• Managing team of Data Analyst/ Data Engineers assigning work and reviewing quality of deliverables.

• Experience in building business reports and dashboards with latest data warehousing and BI tools such as Snowflake/ Cognos/ Tableu/Superset/PowerBI

• Strong understanding of data modeling, data warehousing concepts and various analytical data models

• Familiarity with business domains such as healthcare

• Migration experience highly preferred

• Azure Cloud experience highly preferred

• Perform research with new technologies and third-party vendor technologies as required and prototyping Design, develop and implement analytics based on the discussions with the team.

• Programming skills in generic analytic platforms using Python/ Java/ Scala

Skills & Experience:

• A minimum of 10+ years of experience with complex/large enterprise BI/ETL/Data Warehouse projects , Big Decisions Sales Analytics a.k.a. Redshift and Databricks Platform

• Experience in Designing and architecting Data and BI solutions related to one or more of the following: data quality/data governance assessments, data strategy and roadmaps, integration scoping (requirements, design and mapping), Data warehouse and Data Lake design and implementation

• Ability to perform Information Management assessments (review of needs, data quality, data security, etc.) and accurately estimate the implementation effort

• Awareness of emerging Data warehouse design approaches and the potential future impact to data warehouse architecture

• Advanced knowledge in Data warehouse dimensional modelling. Hands on knowledge with at least one Key ETL Market tool like Informatica Power Center, Oracle Data Integrator, Microsoft SSIS etc.

• Hands-on knowledge with at least one Key BI Market tool (IBM Cognos, SAP BO, Oracle BI, Tableau, MS Power BI, QlickView, SSRS etc.)

• Hands-on knowledge of enterprise repository tools, data modelling tools, data mapping tools, and data profiling tools. (e.g. SAS, R etc.)

• Knowledge of latest market trends (Big Data, Blockchain, AI, Cloud, Mobile, etc.)

• Knowledge of master data management and exposure to MDM tools

• Strong communication, networking & interpersonal skills

• Strong business analysis, planning, monitoring, requirement management and related knowledge

• Experience with at least one of the Data Quality technologies (i.e. Informatica Master Data Management, SAS data management, Talend Data Quality)

• Solid experience in developing data governance practices at enterprise level – Meta data, data lineage, data classification, data security & data life cycle

• Experience with Normalized data store, Operational data store, Dimension data store & Enterprise Data lake

• Understanding of predictive and prescriptive modelling.

• Coordinate with the Data Science department to identify future needs and requirements

• Excellent interpersonal and teamwork skills

• Experience to drive solution/enterprise level architecture, collaborate with other tech leads

• Strong problem solving, troubleshooting and analysis skills

• Experience working in a geographically distributed team

• Experience with leading and mentorship of other team members

• Good knowledge of Agile Scrum

• Good communication skills