Jobs
Benefits & Perks
•Development budget
•Stock options
•Competitive salary and bonus
•Remote options
•Health benefits
•Equity
•Healthcare
Required Skills
HubSpot
Hootsuite
Marketo
In this role, you will work with a highly collaborative team of data analysts, marketing operations specialists, and a cross-functional team of marketers, data engineers, and data scientists to enable effective execution of marketing campaigns to generate leads and serve ads guidance to advertisers. The Marketing Audiences team helps realize the mission and strategy of marketers by designing and building audiences and measuring the performance of marketing campaigns and initiatives. You will observe a direct correlation between your work, company growth, and advertising experiences we provide our customers to help grow their businesses. Beyond this, you will have the opportunity to collaborate and solve some of the most interesting data challenges with efficiency and integrity.
Marketing Analyst Responsibilities:
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- Collaborate with marketers, engineers and data scientists to understand data needs for marketing effort, representing key data insights in a meaningful way
- Intake on audience needs for marketing campaigns and apply contextual knowledge in order to scope data requests, synthesize insights, and recommend marketing signals to key business partners in collaboration with others
- Focus on impact and propose metrics to understand success of marketing initiatives
- Perform data analysis and reporting for marketing to advertisers, agencies and partners in our B2B ecosystem
- Design and build reporting and visualizations for marketing programs, leveraging campaign delivery data across all marketing channels
- Recognize patterns and changing requirements to identify opportunities to build new analytics and reporting capabilities to support program evaluation and operations
- Apply expertise in data analytics to identify business relevant insights and develop executive level presentations to influence marketing strategy
- Manage multiple concurrent projects that require inputs from cross-functional stakeholders while balancing impact on business needs
- Proactively manage stakeholder expectations and resolve issues in a timely manner
- Leverage data analysis tools, such as Python, R, SQL, Tableau, and spreadsheets to develop reports, understand trends, and extract insights
Minimum Qualifications:
- BA/BS in Engineering, Data Science, or related field with 5+ years (or MBA/MA/MS with 4+ years) practical experience in Analytics, Marketing, Operations, Business, Economics, Statistics, or a related fields
- 5+ years of data analysis, quantitative / qualitative research, experience gathering and evaluating data and validating hypotheses
- 3+ years of SQL, data modeling and advanced querying
- 3+ years of program management, directing tasks and managing multiple streams of work
- 3+ years of experience in data visualization tools (for example, Tableau) and spreadsheets (complex formulas, pivots, macros, etc.)
- 3+ years of storytelling with data, communicating technical results to technical and non-technical audiences
- Experience engaging directly with executive stakeholders and managing relationships
Preferred Qualifications:
- Experience with Business-to-Business landscape and/or online marketing and advertising
- Experience working effectively through ambiguity and adversity, quickly adjusting to new conditions
- Proven experience in architecting, documenting, and implementing complex systems, and skilled at clearly defining system components that address long-term challenges
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$105,000/year to $147,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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