Expires soon Schneider

Salesforce Data Analyst

  • Monterrey, MEXICO
  • IT development

Job description

Job Description :

We are looking for an experienced Data Operations Analyst with strong technical and data management skills who has a good understanding of and data structure and business processes. This individual should have a strong track record of executing well on daily tasks and have experience in importing, exporting, cleaning, transforming, validating and modeling data, especially in a MS Excel and Salesforce.com environment.

Job Responsibilities:

Accountable for executing and processing of data change requests
Responsible for maintenance, administration and support of data elements
Ensures metadata, reference documentation, data files and data flows are accurate and up to date
Create mappings between fields in the different sources/systems
Support with data validation, quality issues, integrity, accuracy, consistency and works to resolve impacting issues related to data elements; de-duplication and cleaning
Assisting with data analysis in Salesforce and Excel as needed
Creation and generation of reports on various metrics both quantitative and qualitative in Excel, Salesforce and other systems/tools
Salesforce.com admin support: User access administration, regular data loads, data validation
Maintain user roles and profiles within Salesforce; ensure hierarchy is up to date
Perform special projects as needed

Desired profile

Qualifications :

·  Any bachelors degree in Sciences, Technology, Engineering and Math accepted
·  Salesforce.com knowledge desirable, Administrator certification is a plus
·  Advanced knowledge of Excel; proficient in formulas, vlookups, pivot tables, macros
·  Strong Data Quality, Data Governance and Data Management experience required; Database/SQL skills is a plus
·  Past experience with integration technologies i.e. ETL, data migration and packaged applications
·  Experience supporting a sales/account management organization
·  Detailed oriented with strong organizational skills
·  Effective prioritization, organization and multi-tasking skills
·  Ability to work in fast paced, dynamic environment, meet changing deadlines and priorities on multiple simultaneous projects
·  Excellent oral and written communication skills
·  Professionalism in dealing with all levels of management and staff
·  Technology understanding of data structure What are the steps to solve it
·  Being able to properly communicate in terms of stakeholders

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