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Job Category
Data
Job Details
About Salesforce
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Description:
Trusted business data is the foundation for Salesforce to know our customers, meet our business goals, and innovate with intelligence and AI capabilities. This role will support our Customer & Go-to-Market Data Projects team on a multi-year journey to transform our business user experience in our core Salesforce instance. The Data Analyst will understand the business processes and underlying data that impact our user experience, operational efficiency, and ability to fuel insights and AI. The Business Data Analyst will participate in cross-functional requirements workshops, support solution ideation sessions, and provide data analyses to frame recommendations to improve our data quality for the Account and Contact workstream, and participate in user acceptance and data validation testing.
This role must understand the impact and value of data and metadata quality across the business. This individual must excel in data analysis and problem-solving, and have the ability to draw insights from data and clearly communicate their findings. They must act independently and be able to own the analysis, recommendations, and impacts of assigned projects. This person must also be able to be successful in an unstructured, geographically distributed, team-oriented environment.
Our ideal candidate will have experience working with large, complex data sets, have exceptional analytical skills, and excel in solving abstract problems. The candidate must be comfortable spending hours analyzing data sets in order to recognize trends and must enjoy finding patterns in data. The right candidate should be able to think of out-of-the-box approaches to solving business problems as no two problems are the same. The individual must demonstrate an ability to be a self-starter and be prepared to roll their sleeves up to get the job done! Our team moves fast, so the ideal candidate will know how to ask the right questions to get help and remove roadblocks.
Responsibilities:
Perform data analysis using SQL, Excel, Salesforce Reports, Einstein Analytics, Tableau, Business ObjectsInvestigate data problems and perform deep-dive analyses to help guide recommendations. This includes the ability to work with inputs from several cross-functional teams to be able to summarize trends and the root cause of any current state issues.Provide best practices and support to business leaders with respect to data quality improvements and automationUnderstand business processes, the flow of data within and between processes, and recommend process improvements for better data quality and effectivenessCreate documentation for multi-stakeholder alignment. Creatively manage and clear ambiguity.Summarize complex analysis in simple story-telling slides which makes it easier for stakeholders to understand the approach.Create UAT test plans; participate in testing; report on and propose solutions for pass/fail test casesParticipate in Data Validation testing for data migrations from one system to anotherDesign solutions with an automation mindset
Required skills & experience:
2+ years of data analyst experienceAdvanced knowledge of Excel or similar toolIntermediate SQL experienceFlexibility to work across multiple time zonesKnowledge of the Salesforce Sales Cloud object model
Preferred skills:
Bachelor's Degree in Computer Science / Business / Mathematics or similar fieldThe ability to analyze, model, and interpret dataAbility to multi-task while managing deadlines, ability to perform well under pressure, and ability to work independentlyAbility to work across multiple teams and build relationships to understand business operational process complexitiesStrong communication skills, both verbal and writtenAbility to proactively QA your own work to ensure quality standards and requirements are metAbility to identify & communicate road blocks proactivelyAttention to Detail: hashtag (#) your favorite Excel formula somewhere on your resume.Salesforce Certified AdministratorSalesforce object model & SOQL experience preferredExperience querying in an Enterprise Data WarehouseProject Management experience
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