Senior Analyst of Strategic Planning, Data Analytics

Salesforce

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Indianapolis, INChicago, ILBoston, MANew York, NYSeattle, WAWashington, DCAustin, TX
Salary
$94,000–$142,300 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $145k
This role $118k
$84k most similar roles pay here $185k

This role pays less than 80% of similar roles. Most pay $119,050–$170,000 — the shaded band above. At the midpoint, this role pays about $118k versus about $145k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 111 open roles on FindRole.

Listed pay typically runs $148,500–$223,900 across 104 roles with salary data.

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At a glance

TL;DR · Senior Analyst of Strategic Planning, Data Analytics

As a Senior Analyst of Strategic Planning / Data Analytics, you will join the Customer Success organization to shape long-term direction through data-driven insights and strategic planning. You will be responsible for driving analytics productization, creating scalable reporting assets, and developing complex data models to support decision-making at scale. Your daily work involves designing interactive dashboards, coaching team members on Tableau best practices, and performing machine learning modeling by cleaning and preprocessing raw data to improve model accuracy. To succeed, you must utilize SQL, Python, R, and Tableau while applying your knowledge of statistics and performance optimization techniques. You will solve problems regarding product adoption strategy and scalable engagement motions within an AI-first environment, collaborating cross-functionally with engineering and product teams to translate complex business requirements into actionable data-driven solutions for the Customer Success Group.

What you'll do

  • Create scalable reporting assets and dashboards to reduce ad-hoc requests and improve stakeholder access to insights.
  • Coach team members on Tableau best practices to improve dashboard quality and turnaround speed.
  • Analyze large, complex datasets to identify trends and patterns that inform strategic decision-making.
  • Develop complex data models to provide actionable insights for the Customer Success organization.
  • Clean and preprocess raw data to ensure high quality for machine learning modeling purposes.
  • Build predictive machine learning models and develop relevant features to improve model accuracy.
  • Translate business requirements from stakeholders into technical, data-driven solutions across cross-functional teams.

What we're looking for

  • Bachelor’s Degree in Data Science, Economics, Finance, Math/Statistics, or a related field.
  • Minimum of 3 years of professional experience in data, business analytics, financial due diligence, strategic planning, and business acumen.
  • Background in management consulting or strategy (preferred).
  • Proficiency with databases such as SQL.
  • Strong knowledge of statistics and experience using statistical packages like Python or R to analyze datasets.
  • Experience with data visualization tools like Tableau, including performance optimization and agentic capabilities.
  • Ability to develop complex data models and build predictive machine learning models under guidance.
  • Strong interpersonal skills to communicate complex topics simply and build organizational consensus across cross-functional teams.

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