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Full Time Salesforce Data Analyst Jobs (NOW HIRING)

Impel

Sr. Data Analyst, Revenue Operations

Syracuse, NY · On-site

$85K - $107K/yr

You will be hands-on in Snowflake and Salesforce while partnering cross-functionally to define core ... analyses, improve data access, to scale the team's capabilities * Build actionable dashboards:

IMPEL

Sr. Data Analyst, Revenue Operations

Syracuse, NY

$85K - $107K/yr

You will be hands-on in Snowflake and Salesforce while partnering cross-functionally to define core ... analyses, improve data access, to scale the team's capabilities * Build actionable dashboards:

Apps Associates

Salesforce Data Migration Architect

Acton, MA · Remote

$76 - $94.25/hr

Identify, analyze, and resolve data quality issues, including duplicates, inconsistencies, and incomplete records. * Provide architectural guidance and best practices for Salesforce data management ...

NeuraFlash, Part of Accenture

OR

$69 - $85.50/hr

From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever ... As a Data Architect - Salesforce CRM Solutions , you will lead the strategy, design, and execution ...

NeuraFlash, Part of Accenture

Salesforce Data Architect

$70.75 - $87.50/hr

From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever ... As a Data Architect - Salesforce CRM Solutions , you will lead the strategy, design, and execution ...

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Full Time Salesforce Data Analyst information

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How much do full time salesforce data analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for full time 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but a Salesforce Data Analyst's role involves interpreting complex data, understanding business context, and making strategic recommendations that AI cannot fully replicate. Human expertise remains essential for nuanced insights, data validation, and stakeholder communication. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What does a Full Time Salesforce Data Analyst do?

A Full Time Salesforce Data Analyst is responsible for managing, analyzing, and interpreting data within the Salesforce platform to help organizations make informed business decisions. They gather data from various sources, clean and organize it, and then use reporting tools to create dashboards and visualizations. Their work supports sales, marketing, and customer service teams by providing insights on performance trends, customer behavior, and process improvements. Additionally, they help ensure data accuracy and integrity within Salesforce, and may also be involved in data migration or integration projects.

How much does a Salesforce data analyst make?

A Salesforce Data Analyst's salary typically ranges from $60,000 to $100,000 annually, depending on experience, location, and certifications such as Salesforce Certified Data Analyst. Entry-level positions may start lower, while experienced analysts with advanced skills can earn higher salaries, especially in competitive markets.

What is the difference between Full Time Salesforce Data Analyst vs Salesforce Business Analyst?

AspectFull Time Salesforce Data AnalystSalesforce Business Analyst
Primary RoleAnalyzes Salesforce data to generate reports and insightsGathers requirements and designs Salesforce solutions for business needs
Required SkillsData analysis, SQL, Salesforce reports, dashboardsBusiness process understanding, Salesforce configuration, stakeholder communication
CertificationsSalesforce Data Analytics certifications, Salesforce AdministratorSalesforce Administrator, Business Analyst certifications
Work EnvironmentData teams, analytics departments, ITBusiness units, project teams, IT and management

While both roles involve Salesforce, the Full Time Salesforce Data Analyst focuses on analyzing data and creating reports, whereas the Salesforce Business Analyst concentrates on gathering requirements and implementing Salesforce solutions to meet business needs.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a full-time Salesforce Data Analyst, as the role values skills, experience, and proficiency with tools like Excel, SQL, and Salesforce. Many employers value diverse backgrounds and lifelong learning, and relevant certifications can enhance your qualifications regardless of age.

What are the key skills and qualifications needed to thrive as a Full Time Salesforce Data Analyst, and why are they important?

To thrive as a Full Time Salesforce Data Analyst, you need strong analytical skills, proficiency in data management, and experience with Salesforce and database concepts, often supported by a degree in information systems, business, or a related field. Familiarity with Salesforce CRM, data visualization tools (like Tableau or Power BI), and relevant certifications such as Salesforce Data Architecture and Management Designer are highly beneficial. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These combined skills ensure accurate data analysis, informed decision-making, and alignment with organizational goals.

What are some common challenges a Full Time Salesforce Data Analyst faces when ensuring data integrity across multiple departments?

A Full Time Salesforce Data Analyst often encounters challenges in maintaining data integrity due to inconsistent data entry practices across departments, integrating data from various sources, and managing system customizations. Close collaboration with team members from sales, marketing, and customer service is vital to establish standardized processes and clear data governance. Regular data audits and ongoing training can help mitigate these challenges, ensuring reliable and accurate insights for the organization.

Are Salesforce jobs still in demand?

Salesforce Data Analyst roles remain in high demand due to the widespread adoption of Salesforce CRM across industries. Employers seek professionals with skills in data management, reporting, and certifications like Salesforce Certified Data Analyst, making these positions stable and growing in the job market.
More about Full Time Salesforce Data Analyst jobs
What cities are hiring for Full Time Salesforce Data Analyst jobs? Cities with the most Full Time Salesforce Data Analyst job openings:
What are the most commonly searched types of Salesforce Data Analyst jobs? The most popular types of Salesforce Data Analyst jobs are:
What states have the most Full Time Salesforce Data Analyst jobs? States with the most job openings for Full Time Salesforce Data Analyst jobs include:
What job categories do people searching Full Time Salesforce Data Analyst jobs look for? The top searched job categories for Full Time Salesforce Data Analyst jobs are:
Full Time Salesforce Data Analyst jobs near you
Infographic showing various Full Time Salesforce Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $69,552 per year, or $33.4 per hour.
Sr. Data Analyst, Revenue Operations

Sr. Data Analyst, Revenue Operations

Impel

Syracuse, NY • On-site

$85K - $107K/yr

Full-time

Posted 21 days ago

Job description

We are looking for a Senior Data Analyst to help scale the analytics foundation that powers our revenue engine. In this high-impact role, you will translate complex business questions into trusted data models, dashboards, and insights that improve decision- making across Sales, Marketing, Customer Success, and Revenue Operations. You will be hands-on in Snowflake and Salesforce while partnering cross-functionally to define core SaaS metrics, strengthen data quality, and create scalable reporting standards for the business.
  • Own revenue data architecture: Design, maintain, and improve scalable Snowflake schemas that support accurate reporting and analytics across the customer lifecycle.
  • Define trusted business metrics: Partner with Revenue Operations and Finance to standardize key SaaS metrics such as ARR, NRR, retention, pipeline, bookings, and customer lifetime value.
  • Improve data quality and governance: Establish documentation, definitions, QA checks, and reporting standards that increase trust in revenue data.
  • Model Salesforce data: Map, extract, transform, and document complex Salesforce data structures, including standard and custom objects, to support reliable reporting from reusable frameworks, scripts and tools in Python, SQL or AI to automate recurring analyses, improve data access, to scale the team's capabilities
  • Build actionable dashboards: Create clear, intuitive dashboards that help leaders and operators monitor performance, identify risks, and act quickly.
  • Align with technology and systems infrastructure teams: Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization and systems.
  • Deals Desk Support: Serve as a resource for Deals Desk and system administrators to process complex deal structures in Salesforce to ensure data accuracy and usability
  • Lead through influence: Collaborate with analysts and business partners across teams to align on best practices, shared definitions, and scalable analytics processes.
  • Use AI to work smarter: Apply modern AI tools where appropriate to accelerate analysis, documentation, SQL development, and workflow automation.

  • 5-8 years of experience in data analytics, revenue operations, data engineering, business intelligence, or a related role.
  • Advanced SQL skills, including experience writing, optimizing, and troubleshooting complex queries in Snowflake or a similar cloud data warehouse.
  • Strong understanding of Salesforce data structures, CRM workflows, standard and custom objects, and how commercial teams use Salesforce day to day.
  • Experience modeling SaaS revenue, subscription, pipeline, customer, or retention metrics.
  • Experience using AI tools to improve productivity, documentation, analysis, or code generation.
  • Proven ability to build dashboards and reporting experiences in Tableau or a comparable BI tool.
  • Solid understanding of data warehousing concepts, dimensional modeling, and data quality best practices.
  • Strong communication skills with the ability to translate technical concepts for business stakeholders and turn ambiguous questions into clear analysis.

Nice to Have
  • Experience influencing stakeholders in a matrixed or dotted-line environment.
  • Familiarity with modern data stack tools such as dbt, Fivetran, or similar transformation and ingestion platforms.

Apply