Salesforce Data Cloud

Salesforce Data Cloud Jobs

3 jobs found

Today

Head of Analytics, Data Cloud, Product Operations

Google Sunnyvale, CA

Sunnyvale, CA

Today

$222k - $308k/yr Full time Manager Marketing Application Support

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Job Description

Own analytics that drive product success across Google Data Cloud and broader Cloud through metrics, forecasting, and experimentation frameworks.

Responsibilities

Define, own, and evolve product success metrics for Data Cloud
Report, analyze, and forecast trends of key product metrics; recommend improvements to increase performance
Provide thought leadership on defining, analyzing, and validating metrics, hypotheses, and measurement approaches to support decision-making
Lead end-to-end analysis: identify priority business problems, translate them into tractable questions, process data, and deliver results to stakeholders
Apply advanced analytical methods to solve non-routine, cross-disciplinary problems using large, complex data sets
Develop experimentation and measurement frameworks to improve investment velocity and support complex product decisions
Partner across Data Cloud and broader Cloud to create insight linkages and shape data-driven strategies for business acceleration opportunities
Serve as a senior leader in Data Cloud Strategy and Operations, contributing to the strategic outlook and supporting high-quality execution
Work with Engineering, Product Management, Marketing, Operations, and Finance to enable data-driven product decisions

Requirements

Bachelor's degree or equivalent practical experience
15 years of experience in management consulting, product management and strategy, or analytics in a technology company
12 years of experience using analytics to solve product or business problems, including statistical analysis and coding
3 years of experience managing or leading teams
Experience with technical aspects of analytics, data science, and statistical methodologies
Experience with data management, and analytical and data visualization software tools

Preferred Qualifications

Advanced degree or equivalent practical experience
Experience with R, SQL, spreadsheets, or similar analytics tools
Experience in an enterprise setting, with demonstrated expertise and nuanced understanding of data tied to market segments and competitive dynamics/customer adoption behavior
Experience informing product decisions through quantitative and qualitative analysis
Effective leadership capabilities with the ability to motivate a team
Excellent communication skills with the ability to communicate with technical and business experts

Tools & Technologies

R
SQL
Spreadsheets

Location & Schedule

Sunnyvale, CA (onsite)

Compensation

USD 222,000 - 308,000 per year

Benefits

Health, dental, vision, life, disability insurance
401(k) with company match
20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
13 paid days per year

Team context: Product and Business Strategy Leaders connect cross-functional teams across Google to help products execute optimally, combining strategy, operations cadence, and communications. The Analytics and Reporting role supports Data Cloud by applying analytics to strategically important business areas and enabling data-driven product decisions.

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3d ago

Data Analyst V (Senior Marketing Analyst – Audience Strategy & Insights)

itD Tech Menlo Park, CA

Menlo Park, CA

3d ago

$50 - $52/hr Full time Marketing Analytics Apache Airflow

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Job Description

The Data Analyst V role at itD Tech focuses on audience strategy and insights for the Business Messaging Marketing team. You will turn complex marketing and customer data into segmentation, revenue opportunity sizing, and strategic recommendations that inform business, product, and investment decisions. This position is based in Menlo Park, CA with a hybrid work arrangement.

Key Responsibilities

Conduct deep audience analysis, including segmentation, lifecycle, funnel, churn, and revenue attribution insights
Define analytical approaches, methodologies, and assumptions to address complex business questions
Extract, clean, and analyze large-scale datasets using advanced SQL across multiple data sources
Partner with Data Scientists and Data Engineers to define business logic, data models, and pipeline requirements
Develop automated reporting solutions and self-service dashboards to support recurring business needs
Translate audience insights into actionable segments for marketing campaigns and lifecycle programs
Present data-driven recommendations to senior leadership and cross-functional stakeholders

Required Qualifications

8+ years of experience in marketing analytics, business analytics, or data science
Expert-level SQL skills, including complex queries, CTEs, window functions, and query optimization
Proven end-to-end experience with audience and customer analysis, including segmentation, lifecycle, funnel, and revenue sizing
Experience working with large, multi-source datasets (CRM, product, and engagement data)
Experience building automated reporting and dashboards using Tableau or similar BI tools
Strong capability to translate data into actionable insights and influence stakeholders
Experience collaborating with data engineering and data science teams to define pipelines and data models

Technologies

SQL, Tableau, dbt, Airflow, Salesforce Data Cloud, Salesforce Marketing Cloud, Python, Hive, Excel, Google Sheets

Education

Bachelor's degree in a quantitative, technical, or business field, or equivalent work experience required.

Preferred Qualifications

Experience with pipeline orchestration tools (dbt, Airflow, or equivalent)
Familiarity with customer data platforms (CDP), preferably Salesforce Data Cloud
Experience with marketing automation tools (Salesforce Marketing Cloud)
Knowledge of statistical modeling such as propensity, LTV, attribution, and forecasting
Basic proficiency in Python for automation and data workflows
Experience with large-scale data environments such as Hive or distributed query systems
Advanced Excel and Google Sheets skills for data analysis

Compensation and Location

Location: Menlo Park, CA (hybrid)
Salary: USD 50 to 52 per hour

Benefits

Comprehensive medical benefits
401k plan
Paid holidays

Internal Responsibilities

Attend regular internal practice community meetings
Collaborate with the itD practice team on industry thought leadership
Complete client case studies and learning material (blogs and media material)
Build out material to contribute to the Digital Transformation practice
Attend internal itD networking events (in person and virtual)
Work with leadership on career fast-track opportunities

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1mo ago

Data Engineer I - Salesforce Data 360

Relias US Morrisville, NC

Morrisville, NC

1mo ago Closed

$91k - $130k/yr Full time Data Architecture Data Engineer Data Integration

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Relias US is seeking a Data Engineer I to help build and run the revenue data platform that supports analytics and AI across the customer lifecycle. In this hybrid role based in Morrisville, North Carolina, you will design ingestion pipelines into Salesforce Data Cloud (Data 360), unify customer data, and help ensure a trusted, governed foundation that Agentforce agents can rely on.

What you’ll do

Design, build, and maintain ingestion and transformation pipelines into Salesforce Data Cloud (Data 360) from Salesforce CRM, Gong, Pardot (MCAE), and other revenue systems using native connectors, APIs, and streaming patterns.
Build and maintain Data Cloud data models mapped to the canonical data model, and configure identity resolution rulesets to unify customer and account data across sources.
Prepare, structure, and govern the data foundation for Agentforce, including unstructured sources, so agents operate on accurate, current, and permissioned data.
Integrate Data Cloud with the Relias Information Hub on Databricks, and maintain enrichment pipelines from providers including ZoomInfo, Dun and Bradstreet, Definitive Healthcare, and Clay into Salesforce and Data Cloud.
Implement match and dedupe logic, field survivorship, and monitoring for match rates and data freshness for enrichment feeds.
Ensure data accuracy, consistency, lineage, and security through validation, monitoring, and access controls; identify, diagnose, and resolve data issues promptly.
Create and maintain documentation for pipelines, data models, mappings, and integration patterns.

Key requirements

Bachelor’s Degree in computer science or related field.
2+ years of data engineering, including 1 to 2 years working with Salesforce Data Cloud or a comparable CDP and Salesforce data integration.
Hands-on experience with Salesforce Data Cloud (Data 360), including data streams, connectors, ingestion, transforms, data model objects, identity resolution, and calculated insights.
Working knowledge of the Salesforce platform and revenue stack data structures, including Salesforce CRM, Gong, and Pardot/MCAE.
Programming experience in SQL and Python.

Skills and tools

Salesforce Data Cloud (Data 360), Salesforce CRM, Gong, Pardot (MCAE), Agentforce
Databricks, SQL, Python, APIs, streaming patterns
ZoomInfo, Dun and Bradstreet, Definitive Healthcare, Clay

Compensation

Expected salary range is USD 91,000 - 129,500 per year.

Benefits

Fantastic health and wellness benefits package, including an outstanding 401k match, a flexible PTO program, and a generous and inclusive parental leave policy.
Relias pays for the employee portion of the monthly healthcare premium.
Active Employee Resource Groups open to all employees.
Comprehensive onboarding program.
Growth and career advancement opportunities.
Onsite 321 Coffee Shop providing free coffee and pastries to employees.

Work location and hybrid expectations

Flexible hybrid work requires you live in the state of North Carolina, within a commutable distance to the office (approximately 1-hour commute).
Expected to work in the Morrisville, NC Headquarters (close to the Raleigh/Durham airport) approximately 30 days/quarter.

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Salesforce Data Cloud Jobs

Head of Analytics, Data Cloud, Product Operations

Data Analyst V (Senior Marketing Analyst – Audience Strategy & Insights)

Data Engineer I - Salesforce Data 360

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