Need Technical Data Analyst // Onsite // 10+ Years Profile Only

Technical Data Analyst
San Jose, CA – Onsite
6+ Months
 Technical Data Analyst who has hands on experience migrating Sales users and Sales data like Accounts, Opportunities, Contacts from Salesforce.com to Dynamics 365. He should also have strong experience in data profiling, data integration, transformations, understanding how data impacts downstream systems like Sales and Finance data warehouses/data lakes, reporting etc.

What You’ll Do
• Work with Adobe internal data teams and business teams to decipher the data related requirements for the project
• Need to have hands on experience in understanding the SFDC to Dynamics field mappings & data models.
• Design end to end strategy to stitch objects from various systems and financial KPIs
• Building integrations between SFDC, Dynamics, SAP ECC and DBX for Power BI reporting and financial metrics.

Qualifications
• Requires bachelor’s degree. Preferred candidates will have a major in computer science, MBA from reputable institution or equivalent experience.
• 4+ years of data analytics, ‘data BSA’ or data product management experience with solid understanding of how to deliver data solutions in an agile environment.
• Strong proficiency in SQL/SparkSQL/Python to query and manipulate large data sets. Experience with platforms like Databricks, Power BI and Tableau.
• You are a self-starter, independent, hard worker, with a high degree of motivation to go above and beyond the task at hand. You anticipate and creatively implement next steps in a complex environment.
• You have mastered the ability to influence outcomes, navigate, mediate to consensus with integrity. You possess great interpersonal communication, presentation skills, and social skills and a solid sense of humor.
• Data requirement writing skills: collecting, prioritizing, and gathering input from multiple sources, providing accurate requirements with attention to detail.
• You already know or can rapidly learn enterprise application capabilities in order to deliver transaction and event-driven data solutions (examples: SAP/HANA, MS Dynamics or Salesforce Data, ADLS/Hadoop/Databricks datalake/lakehouse solutions, and/or Kafka streams)
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