Manager - Sales Analytics

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Job description

Role: Manager - Sales Analytics

Location: Connecticut (Remote till Covid)

Duration: Fulltime with the client

Visa: Any Visa is fine

Job Description:

This is time to join the world of data, analytics and AI is changing, and it is no longer just about leading data. Team focus on develop a robust governance and analytics capability, that will enable to drive higher value by placing data at the core of the strategic and operational decisions.

Responsible for the design, development and delivery of the tools and technologies aligning to Data Governance and MDM strategy across all areas of the business. Opportunity to scale up the engagement and establish relationships with executive members. Lead career development to improve talent and capabilities.

Key Requirements/Responsibilities:

• Define, implement and communicate data quality and governance roadmap including test automation and data remediation.
• Define and execute process controls with Dev Ops team to define key Data Quality routines that need to be instrumented as well as process-level controls where needed.
• Ensuring compliance of data with regulations and identify training needs for all data users.
• Lead discussions at peer review and use quantitative skills to positively influence decision making.
• Design and document architecture at multiple levels (high-level in detail) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams).
• Hands on to Translate business requirements into conceptual and detailed technology solutions.
• Hands on in Customer Data Governance on pharmaceutical customer data like HCP and HCO.
• Liaison with the IT and business and demonstrate data assessment and data integration for Informatica MDM.
• Validate data integration challenges, perform exception handling and partner concern.
• Handle customer data quality post integration.
• Experience with data modeling and integrating with source data systems and BI tools. Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions.
• AWS hands-on expertise and programming background. Good knowledge of Big-Data frameworks and related technologies (Spark, Kafka, Hadoop, NoSQL...).
• Lead Design and Implementation of Data Lake - HD Insight Clusters, Data-Bricks, HIVE, HIVE LLAP, Oozie, HDFS, Azure Data Lake Store, Azure Data Factory, OMS, APIM Services, Domain Join Clusters, DevOps Pipeline, Kubernetes, Docker, Bamboo,.
• Experience in Implementation of DWH/ETL Process Design Solution on AWS - Attunity, Python, Airflow, Jenkins, Teradata, ABC Framework (replaced Informatica OnPrem with Python+Airflow), Lambda functions, AWS DynamoDB.
• Strong ability to handle large volumes of data independently.

Minimum Qualifications:

• Bachelor of Technology in CS & IT.
• Graduate Program in AI/ML from reputed institution. Graduation / post-graduation in the relevant stream.

Certifications:

• Microsoft Azure Certified.
• AWS SAA Certified.
• Cloudera Hadoop Certified.
• Oracle RAC Certified.

Preferred Qualifications:

• Experienced within data and analytics domain including experience in automation.
• Experience working with data verification, data management, and data maintenance and experience of remediation data gaps.
• Experience with one or more programming language such as SQL, Python, R, etc.
• 6+ years of validated experience in life sciences and healthcare commercial analytics.
• Exposure to working with large data sets in cloud platforms like AWS, Azure, Google cloud.

If you're interested then please apply for this role or share your updated resume on lokesh(at)xlrbizs(dot)com

- provided by Dice

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