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Evening Salesforce Data Analyst Jobs (NOW HIRING)

IMPEL

Sr. Data Analyst, Finance

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:

New

OSI Digital

Salesforce Data Cloud Consultant

Dallas, TX · On-site

$90K - $140K/yr

FT We are seeking a skilled Salesforce Data Cloud Consultant with strong experience in Customer Data Platforms, segmentation, activation, customer analytics, and zero-copy data architecture. The ...

AceStack LLC

Salesforce Data 360

Addison, TX · On-site

... • Analytical Skills Ability to analyze complex data sets and translate them into business solutions. Common Job Titles • Salesforce Data Cloud Engineer Developer • Salesforce Data Cloud ...

Samprasoft

Salesforce Data Cloud Developer

Washington, DC · On-site

$62.75 - $83.25/hr

Salesforce Data Cloud Developer We are seeking an experienced Salesforce Data Cloud Developer to ... Collaborate with cross-functional teams to gather and analyze business requirements. * Develop ...

EPAM Systems

Salesforce Data Cloud Architect

Manhattan, NY · On-site

$76 - $94.25/hr

... analytics strategies aligned to client use cases - customer 360, marketing performance, sales ... Salesforce Data Cloud roadmap Build reusable accelerators and solution frameworks that sharpen ...

Impel

Sr. Data Analyst, Finance

Syracuse, NY · On-site

$85K - $107K/yr

Map, extract, transform, and document complex Salesforce data structures, including standard and ... Collaborate with analysts and business partners across teams to align on best practices, shared ...

New

ClifyX

Salesforce Data 360 Architect

Addison, TX · On-site

$61.75 - $79.50/hr

Analytical Skills Ability to analyze complex data sets and translate them into business solutions. Common Job Titles Salesforce Data Cloud Engineer Salesforce Data Cloud Architect Data Cloud ...

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 ...

EPAM

Salesforce Data Cloud Architect

$70.75 - $87.50/hr

... analytics strategies aligned to client use cases - customer 360, marketing performance, sales ... Salesforce Data Cloud roadmap Build reusable accelerators and solution frameworks that sharpen ...

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Evening Salesforce Data Analyst information

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How much do evening salesforce data analyst jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for evening 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.

Is 40 too late for data science?

For an Evening Salesforce Data Analyst or similar data-related roles, starting a career at 40 is feasible as the field values experience, analytical skills, and familiarity with tools like SQL and Excel. Many professionals transition into data roles later in life, and continuous learning or certifications can enhance employability regardless of age.

Is data analyst still relevant in 2026?

Data analysts, including those working with tools like Salesforce, remain relevant in 2026 as organizations continue to rely on data-driven decision-making. Skills in data management, visualization, and analytics tools are in high demand across industries, supporting the ongoing need for skilled analysts. Continuous learning and proficiency in platforms like Salesforce enhance job prospects in this evolving field.

Can a data analyst work at night?

A data analyst, including an evening Salesforce Data Analyst, can work at night if the employer offers evening or night shifts. Some roles require flexible schedules to meet project deadlines or support global teams, and night shifts may involve remote work or specific hours. However, many data analyst positions are standard daytime roles unless specified otherwise.

What is the difference between Evening Salesforce Data Analyst vs Salesforce Data Analyst?

AspectEvening Salesforce Data AnalystSalesforce Data Analyst
Work HoursPrimarily evening shifts, flexible schedulingStandard daytime hours, typical 9-5 schedule
CertificationsSalesforce certifications, data analysis skillsSalesforce certifications, data analysis skills
Work EnvironmentRemote or evening shift office settingsOffice or remote during regular hours
Industry UsageUsed in industries with 24/7 operations or customer supportCommon across various industries during standard hours

The main difference between an Evening Salesforce Data Analyst and a Salesforce Data Analyst lies in their work hours. The evening role focuses on working during evening shifts, often in remote or flexible environments, suitable for industries with extended hours. The standard Salesforce Data Analyst works during regular daytime hours. Both roles require similar certifications and skills, but their schedules and work environments differ to meet organizational needs.

Does Salesforce have night shift?

Salesforce data analyst roles typically follow standard business hours, but some companies may require night shifts or flexible schedules to support global teams or urgent project needs. Shift requirements depend on the employer and project deadlines, and night shifts are less common but possible in certain organizations. Skills in remote work and time management can be beneficial for such roles.
What cities are hiring for Evening Salesforce Data Analyst jobs? Cities with the most Evening 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 Evening Salesforce Data Analyst jobs? States with the most job openings for Evening Salesforce Data Analyst jobs include:
Evening Salesforce Data Analyst jobs near you
Sr. Data Analyst, Finance

Sr. Data Analyst, Finance

IMPEL

Syracuse, NY

$85K - $107K/yr

Full-time

Posted 15 hours 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.

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