Analyst of Strategic Planning and Data Analytics

Salesforce•New York, NY

About The Position

As an Analyst of Strategic Planning, you will play a pivotal role in shaping the long-term direction of our Customer Success organization. You will be responsible for independently driving the development of a strategic point-of-view on critical business topics, as well as guiding the design of strategic initiatives. Your ability to develop a strong perspective on “big bets” for our business via the synthesis of data-driven insights and internal & external research and your individual business judgement, as well as your ability to collaborate with senior stakeholders, will be key to your success in this role. You will work in a dynamic and cross-functional environment, focusing on a strategic planning period of 2-5 years into the future. This role offers a unique opportunity to shape the future of our organization, working closely with senior leaders and both internal & external experts to drive meaningful change and growth. If you are a strategic thinker with a proven track record in frameworks thinking, business planning, data and analytics and self-initiation — including the ability to lead without formal authority — we encourage you to apply. Agentforce is the future of AI, and you are the future of Salesforce.

Requirements

Education: Bachelor’s Degree in Data Science, Economics, Finance, Math/Statistics or a related field.
Experience: A minimum of 2-3 years of professional experience in roles requiring data, business analytics, financial due diligence, strategic planning and business acumen.
Technical expertise: regarding data models, database design development, data mining, and segmentation techniques.
Proficiency with databases (SQL, etc.).
Strong knowledge of statistics and experience using statistical packages for analyzing datasets (Python/R, Excel etc.)
Experience with data visualization tools (e.g., Tableau).
Self-Driver: Proven ability to synthesize multiple sources of information into a compelling strategic point of view. Comfortable working in a fast-paced, evolving and occasionally ambiguous environment.
Stakeholder Engagement: Strong interpersonal and communication skills, collaborating effectively with stakeholders, communicating complex topics using simple language and building organizational consensus.
Analytical Skills: Familiarity with data and analytics concepts, able to work with data professionals to translate data-driven insights into actionable recommendations.
Cross-Functional Collaboration: Demonstrated ability to work in a cross-functional team environment, fostering collaboration and alignment. Experience managing complex projects and initiatives, ensuring timely delivery and successful implementation.
This role is only open to those who are current or prior Salesforce interns. All others who do not meet this criteria will not be considered

Responsibilities

Data Analysis and Interpretation: Conduct analysis of large and complex datasets to extract meaningful insights for CSG. Interpret data trends, patterns, and anomalies to inform strategic decision-making.
Data Analysis: Perform detailed data analysis and develop complex data models to derive actionable insights and support decision-making processes.
Dashboard Development and Maintenance: Design, develop, and maintain interactive dashboards and reports using Tableau.
Data Cleaning and Preprocessing: Clean and preprocess raw data to ensure its quality, completeness, and usability for analytical purposes and collaborate with cross-functional teams to define data preprocessing pipelines.
Feature Engineering: Identify and create relevant data features to enhance model performance and accuracy. Work closely with domain experts to extract valuable insights and incorporate to improve data processes.
Reporting: Prepare comprehensive reports for executive leadership and stakeholders, effectively communicating trends, patterns, and predictions through clear and insightful visualizations and narratives.
Collaborative Problem Solving: Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions. Work cross-functionally with engineering, product, and business teams to integrate data science solutions into existing systems.