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Job SummaryThe Salesforce Senior Developer on the Salesforce Analytics Team will be responsible for designing, developing, and maintaining advanced analytics and reporting solutions within the Salesforce ecosystem at Cencora. This role focuses on transforming complex business data into actionable insights using Salesforce CRM Analytics (Tableau CRM / Einstein Analytics), Salesforce Reports & Dashboards. The ideal candidate combines deep Salesforce development expertise with strong data literacy and a passion for empowering business stakeholders with real-time, data-driven intelligence to support strategic decision-making. What Youll Do:Design, build, and maintain CRM Analytics (Tableau CRM / Einstein Analytics) dashboards, lenses, datasets, and dataflows to deliver actionable business insightsDevelop and optimize Salesforce Reports and Dashboards for various business units including Sales, Service, Marketing, and OperationsBuild and manage data pipelines and dataflows within CRM Analytics, including data transformation using SAQL (Salesforce Analytics Query Language)Leverage Salesforce Data Cloud to unify, harmonize, and activate customer and operational data for analytics consumptionCollaborate with business analysts, data engineers, and stakeholders to gather analytics requirements and translate them into scalable technical designsDevelop custom Apex, Lightning Web Components (LWC), and Salesforce Flows to extend and embed analytics capabilities within Salesforce applicationsIntegrate Salesforce analytics solutions with external data sources (e.g., Snowflake, Azure Data Lake, SAP, S3) using connectors, APIs, and ETL pipelinesImplement Einstein Discovery models to deliver AI-powered predictions and recommendations embedded in Salesforce records and dashboardsEnsure analytics solutions comply with Salesforce data governance, security models, row-level security (RLS), and field-level security standardsWork with Tableau (external) or other BI tools to complement Salesforce-native analytics where applicableConduct code and dashboard reviews, mentor junior developers, and establish best practices for analytics developmentMonitor, troubleshoot, and optimize dashboard performance, data refresh schedules, and dataflow efficiencyStay current with Salesforce Analytics platform releases and proactively recommend new features for adoptionParticipate in Agile/Scrum ceremonies including sprint planning, backlog grooming, and retrospectivesBasic Qualifications:Bachelors degree in Computer Science, Information Technology, Data Science, Engineering, or a related field (or equivalent work experience)5+ years of hands-on Salesforce development experience3+ years of experience with Salesforce CRM Analytics (Tableau CRM / Einstein Analytics), including dashboard design, dataflow development, and SAQLProficiency in Apex, Lightning Web Components (LWC), Soql/sosl, and Salesforce FlowStrong experience with Salesforce Reports and Dashboards, including dynamic dashboards and cross-object reportingHands-on experience with SAQL for custom data queries within CRM AnalyticsFamiliarity with Salesforce Data Cloud or customer data platform (CDP) conceptsExperience integrating Salesforce with external data sources using REST/SOAP APIs, Salesforce Connect, or third-party ETL toolsSolid understanding of Salesforce data model, security model, and governor limitsExperience with Salesforce DX (SFDX), Git, and CI/CD deployment pipelinesActive Salesforce Certified Platform Developer I certificationPreferred Qualifications:Salesforce Certified CRM Analytics and Einstein Discovery Consultant certificationSalesforce Certified Platform Developer II certificationSalesforce Data Cloud Consultant certificationExperience with Einstein Discovery for AI-powered predictive analytics and model storytellingProficiency with Tableau (desktop or server) for supplemental enterprise reporting and visualizationExperience with cloud data platforms such as Snowflake, Azure Synapse, Google BigQuery, or AWS Redshift and their integration with SalesforceFamiliarity with Python, SQL, or R for data preprocessing, transformation, or advanced analytics use casesKnowledge of data warehousing concepts, dimensional modeling, and ETL/ELT best practicesUnderstanding of data governance frameworks, data quality management, and metadata managementExperience in the healthcare, pharmaceutical, or life sciences industryStrong data storytelling skills with the ability to present complex analytical findings to non-technical business stakeholders .
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.