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Salesforce Data Analyst Jobs (NOW HIRING)

Salesforce Data Cloud Technical Lead

Milford, OH · On-site

$60 - $74.25/hr

Responsibilities : • Lead end-to-end solution delivery for Salesforce Data Cloud implementations--from discovery and impact analysis to design, deployment, and post-go-live support. • Architect ...

NJ · On-site

$68.88 - $82.66/hr

Salesforce Data Cloud Developer Location: Piscataway, NJ Duration: Contract Rate: $55/hr on C2C ... Strong debugging, data analysis, and performance optimization skills. #J-18808-Ljbffr

Fundraising Data Analyst

Manhattan, NY · On-site

$80K - $90K/yr

Bonus if you have experience working on Salesforce or with Salesforce data * Technical Skills: Proficiency in data visualization tools, in particular PowerBI. * Data Analysis: Strong understanding of ...

Sr Data Analyst, Product

Atlanta, GA · On-site

$110 - $140/hr

This Data Analyst role supports turning scattered exports, portal reports, and Salesforce data into the metrics, dashboards, and analysis our business needs to prove value and make evidence-based ...

Senior Salesforce Engineer

New York, NY · On-site

$137K - $167K/yr

... data models, security models, analytics, and CRM Analytics (CRMA) solutions. • Develop and support batch, real-time, and event-driven integrations between Salesforce and enterprise applications ...

Salesforce Developer

Oak Brook, IL · On-site

$56 - $74.25/hr

Solid data analysis skills and ability to translate business reporting needs into specific data ... Salesforce MVC Model; Dell Boomi, SAP BTP familiar with Federated Search: Coveo, Mindbreeze, Solr ...

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Salesforce Data Analyst information

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How much do salesforce data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for salesforce data analyst in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.31 per hour, depending on experience, location, and employer.

What are the typical responsibilities of a Salesforce Data Analyst?

A Salesforce Data Analyst is typically responsible for extracting, cleaning, and analyzing data from the Salesforce platform to generate actionable insights and support business goals. This often includes building custom reports and dashboards, monitoring data quality, and working closely with sales, marketing, and IT teams to understand data requirements and deliver meaningful analyses. Analysts may also be involved in ongoing data integrity projects and advising on best practices for data management. Regular collaboration and communication with cross-functional teams are essential to ensure data-driven decisions align with organizational strategies.

What are the key skills and qualifications needed to thrive in the Salesforce Data Analyst position, and why are they important?

A Salesforce Data Analyst is responsible for managing, analyzing, and interpreting data within the Salesforce platform to support business decision-making. They clean and maintain data quality, create reports and dashboards, and provide insights that help improve sales, marketing, and customer relationship strategies. These analysts often work with stakeholders to understand business needs, optimize data processes, and ensure accurate reporting. Strong skills in Salesforce reporting tools, data analysis, and SQL or Excel are typically required for the role.

Are Salesforce Data Analyst jobs still in demand?

Salesforce Data Analyst roles remain in high demand due to the widespread adoption of Salesforce CRM systems across industries. These positions often require skills in data management, reporting, and familiarity with Salesforce tools like Tableau and Einstein Analytics, making them valuable in data-driven organizations.

How much does a Salesforce Data Analyst make?

The average salary for a Salesforce Data Analyst in the United States ranges from $65,000 to $95,000 annually, depending on experience, location, and certifications such as Salesforce Certified Data Analyst. Entry-level positions typically start around $60,000, while experienced analysts can earn over $100,000 with specialized skills and advanced certifications.

What does a Salesforce Data Analyst do?

A Salesforce Data Analyst is responsible for analyzing and interpreting data within the Salesforce platform to support business decision-making. They create reports, dashboards, and data models, often using tools like Salesforce Analytics Cloud and SQL, to identify trends and improve processes. Strong analytical skills and knowledge of Salesforce tools are essential for this role.
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Infographic showing various Salesforce Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.

Salesforce Data Architect with Security Clearance

Halvik

Vienna, VA • On-site

$69.25 - $85.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Position Overview Halvik is seeking a senior individual contributor with a rare combination of Salesforce development depth, data architecture skills, MuleSoft integration experience, and hands-on Data 360 expertise. This role supports Dept. of Commerce - Federal Grants Programs. The role requires someone who builds: designing Salesforce data models, writing migration scripts, configuring MuleSoft integrations, and standing up Data 360 semantic models. The ideal candidate has spent years as a Salesforce developer (Apex, LWC, Flows) and has evolved into data-centric work: object model design, large-scale data migration, integration architecture, and analytics enablement through Data 360. We need someone who can think across the full data lifecycle from source system profiling through Salesforce object modeling to semantic layer definition - and who can personally execute each step. Core Responsibilities * Salesforce Data Modeling & Architecture: Design, extend, and optimize Salesforce data models including custom objects, relationships (master-detail, lookup, junction), record types, field configurations, and data storage patterns. Ensure model decisions support compliance reporting, analytics, and downstream integration. Develop data warehousing blueprints and evaluate data reusability for additional analyses. * Data Migration: Lead end-to-end data migration activities: source system inventory and profiling, field-level mapping to Salesforce objects, ETL job development with cleansing and transformation rules, and phased migration sprints with iterative validation. Maintain legacy data access per agency retention policies. * MuleSoft Integration Development: Build and maintain API-led integrations using MuleSoft Anypoint Platform. Implement System, Process, and Experience API layers connecting Salesforce with internal agency systems and external federal platforms. Write DataWeave transformations, configure CloudHub deployments, and implement error handling with retry mechanisms and automated alerting. * Data 360 & Semantic Layer: Configure and extend Salesforce Data 360 to build semantic models that enable natural-language querying and analytics. Define data relationships, business metrics, and calculated fields within the semantic layer. Support integration between Data 360, CRM Analytics, and Tableau Next. * Salesforce Application Development: Comfortable with declarative-first approach - build and maintain complex Flows and Flow Orchestrations as the primary automation mechanism, alongside Apex classes and triggers where custom code is warranted. D evelop Lightning Web Components and SOQL/SOSL queries to support reporting and UI requirements * Data Quality & Governance: Own data quality for reporting and compliance data pipelines. Implement automated validation checks within integration flows and migration scripts. Produce Data Profiling Reports, Data Mapping Specifications, and post-migration reconciliation deliverables. Minimum Requirements * Education: Bachelor's degree in Computer Science, Information Systems, Data Science, or related field. * Experience: Minimum 5 years of professional Salesforce development experience (Flows, Apex, LWC, SOQL), with at least 2 years focused on data architecture, data modeling, or large-scale data migration within Salesforce. * MuleSoft (Required): Prior project experience with MuleSoft Anypoint Platform including API design (RAML/OAS), Mule flows, DataWeave transformations, and CloudHub or Runtime Fabric deployment. Must demonstrate integration work delivered on a real engagement, not just training or certification. * Data 360 (Required): Hands-on project experience with Salesforce Data 360 (formerly Tableau CRM Data Prep or Data Cloud components). Must have configured semantic models, defined business metrics, or built data pipelines within Data 360 on a delivered project. * Salesforce Data Model Expertise: Deep understanding of Salesforce standard and custom objects, relationships, field types, record types, data storage limits, and data architecture best practices. Experience with Salesforce Data Loader, Bulk API, Metadata API, and data import/export patterns. * Certifications (Required): Salesforce Platform Developer I. At minimum one additional relevant certification (e.g., Platform Developer II, Data Architect, Integration Architect, MuleSoft Developer, or OmniStudio Developer). * Tools: Proficiency with SQL, Git/GitHub, JIRA, VS Code with Salesforce Extensions, and at least one data profiling or ETL tool. * Compliance: Must be eligible for Public Trust (Tier 2 / MBI) security clearance. U.S. citizenship or permanent residency required. Preferred Expertise * Salesforce Data Architect or Integration Architect certification. * MuleSoft Certified Developer or MuleSoft Certified Integration Architect. * Experience with Salesforce Public Sector Solutions (PSS) Grants Management data model. * OmniStudio experience (DataRaptors, Integration Procedures) for data orchestration within Salesforce. * Experience with CRM Analytics (formerly Einstein Analytics) or Tableau Next. * Agentforce or Einstein AI experience - grounding data pipelines, retrieval-augmented generation, or AI data preparation. * FedRAMP compliance experience or prior work on federal government Salesforce contracts. Privacy Policy - Halvik Corp Halvik offers a competitive full benefits package including: Company-supported medical, dental, vision, life, STD, and LTD insurance Benefits include 11 federal holidays and PTO Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements. 401(k) with company matching Flexible Spending Accounts for commuter, medical, and dependent care expenses Tuition Assistance Charitable Contribution matching Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.