Jobs

Business Intelligence Lead - Data Center Design, Engineering, & Construction
Reston, VA
·
On-site
·
Full-time
·
2w ago
Compensation
$123,000 - $123,000
Benefits & Perks
•Equity
•Equity
Required Skills
Business Intelligence
Data Analytics
Data visualization
Reporting
Meta is seeking a highly skilled and experienced professional to join the Operations team within our data center Design Engineering and Construction (DEC) Organization as a Business Intelligence Lead. Our data centers are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. The Business Intelligence Lead will have a qualified background in data-driven insights, visualization, and reporting, with a focus on driving business outcomes of a large scale capital investment portfolio. They will focus on partnering with business stakeholders to establish needs and requirements then working collaboratively with our data scientists, data engineers, and systems architectures to achieve those needs.
Business Intelligence Lead
- Data Center Design, Engineering, & Construction Responsibilities:
- Leverage expertise to drive insights and actions that improve organizational outcomes through a thorough understanding of business processes, available datasets, data analytics and visual representation
- Ensure accuracy and availability of business critical reports and dashboards through alignment with business teams and partnership with technical counterparts to implement robust solutions
- Partner with business functions to establish business process clarity and define, develop, test, publish, maintain & retire required reporting and visualizations
- Collaborate with cross functional teams and technical counterparts to architect robust data foundations
- Align teams on priorities and develop short and long-term roadmaps to further processes to leverage data to provide insight and inform action
- Manage 3rd party services across numerous vendors to execute recurring workflows, triage and resolve open issues, and build out our analytics ecosystem
- Develop plan to enable organization embedment of self-service analytics
- Stay up-to-date with emerging trends and technologies in business intelligence and analytics, and identify opportunities to incorporate them into the organization
Minimum Qualifications:
- Bachelor's degree in a directly related field, or equivalent practical experience
- 7+ years of experience working in Business Intelligence and/or Data Analytics
Preferred Qualifications:
- Bachelor's Degree in Computer Science, Engineering, Information Systems
- Experience in large-scale capital investment programs
- Experience leveraging data analysis tools including visualization and cross-tab (e.g.,Tableau) and modern data management tools (e.g., Data Bricks, Snowflake, Presto, etc.) or other equivalents
- Functional knowledge of SQL
- Experience using AI to accelerate work within Tableau, VS Code, and similar environments
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.
$123,000/year to $179,000/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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