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Job Category
Data
Job Details
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Salesforce Marketing Decision Science is seeking a highly skilled Senior Data Analyst who will play a critical role in extracting, analyzing, and interpreting complex data sets to support data-driven decision-making related to our paid media efforts. This role requires a strong analytical mindset, excellent problem-solving skills, and the ability to communicate findings effectively to stakeholders.
This role will live in the Marketing Decision Science department reporting to the Director of Paid Media Analytics.
Responsibilities
- Dashboard Development:
- Create and oversee the development of advanced dashboards that provide insights into paid media campaign performance.
- Collaborate with data visualization experts and analysts to ensure dashboards are user-friendly and accessible.
- Data Analysis & Interpretation:
- Analyze datasets to identify trends, patterns, and insights related to paid media performance.
- Develop key performance indicators (KPIs) and metrics to measure the effectiveness of paid media campaigns.
- Perform exploratory data analysis (EDA) to uncover insights and inform strategic decisions.
- Provide insights that help business teams uncover hidden trends and opportunities within paid media.
- Establish and carry out a plan to regularly communicate insights to stakeholders.
- Data Set Preparation
- Collaborate with data engineers and business stakeholders to produce source-of-truth datasets.
- Quality Assurance & Best Practices:
- Establish and enforce data governance and best practices for data management.
- Conduct regular reviews of data processes to identify areas for improvement.
- Ad Hoc Analysis & Support:
- Perform ad hoc analysis to support urgent business questions and needs.
- Provide data and insights to support cross-functional initiatives and projects.
- Assist in troubleshooting data-related issues and provide technical support as needed.
- Stakeholder Collaboration:
- Collaborate closely with Media Lab and related marketing and media teams to understand campaign objectives.
- Communicate complicated technical concepts to data engineering teams, third-party consultants and contractors, and be able to simplify them for non-technical audiences as needed.
Qualifications
- Bachelor's or Master's degree in a technical field.
- 5+ years experience in data analytics with a focus on paid media.
- Strong understanding of SQL and data modeling.
- Experience with Snowflake or other data warehousing platforms such as Google BigQuery.
- Demonstrated experience in analyzing complex, ambiguous problems and presenting the results to both technical and non-technical audiences
Preferred Qualifications
- Understanding of B2B (business-to-business) sales process and datasets.
- Experience in a tech lead role.
- Proficiency in programming languages such as Python or R.
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Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
For California-based roles, the base salary hiring range for this position is $140,000 to $192,500.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.