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Description The ideal candidate will have ability to lead in both technical as well as business-oriented conversations in addition to the delivery of various Salesforce Einstein Analytics solutions across our clients in the US. This role will be responsible for the delivery of strategic analytics data solutions and reporting built on Salesforce Einstein. In this role you will be responsible for reporting, monitoring, analyzing data and trends, communicating business results across various clients and partnering on strategic initiatives to ensure optimal outcomes. Competencies - Excellent communication skills and ability to communicate with our clients in the US. - 5+ years of consulting experience and/or Analytics implementation experience. - 5+ years of experience on the Salesforce platform. - 2+ full life cycle projects with strong expertise Salesforce Einstein implementations. - 2+ years of Salesforce Einstein Analytics experience. - Must have positive knowledge of SQL, SAQL, SOQL and JSON. - Experience with BI (Domo, Qlik, Microstrategy, Tableau, etc.) and ETL Tools (Informatica, etc.). - Certification in Einstein Analytics and Discovery Consultant. - Bachelors degree in technology or engineering or related discipline. Responsibilities - Collaborating effectively with agile matrixed teams at our clients in the US to build solutions in Salesforce Einstein that support business requirements. - Provide expertise with the Einstein Analytics application, dataset management processes, security and access implementations, and visualization/dashboard creation. - Delivery of strategic reporting & AI solutions built on Salesforce Einstein. - Maintaining in-depth knowledge of the tool and all the new features as they become available and recommend enhancements based on features released in Einstein/AI. - Develops the Einstein Analytics application using Data Flows, Apps, Lens, Dashboards and Reports. - Develop and provide guidance on implementation best practices. - Performs custom development (as required) and 3rd party integrations. - Assists project teams with technical design and documentation. - Drives new technologies such as AI, Einstein and Smart Data Discovery. - Develop knowledge artifacts on Salesforce Einstein. - Communicate clearly and effectively with all members of the team. - Actively participate in all major technical discussions related to the platform. - Create a culture of observability within the team, constantly keeping an eye on the performance and stability of the platform. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.