Data Analyst, Client Data Services

In this role, you will work with a highly collaborative team of data analysts, product/program managers, and a cross-functional team of software engineers, data engineers, and data scientists to optimize growth and strategy for client data services. You will see a direct correlation between your work, company growth, and customer support data insights. Beyond this, you will have the opportunity to collaborate with some of the brightest minds in the industry, solving some of the most interesting data challenges with efficiency and integrity.Data Analyst, Client Data Services Responsibilities

• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way.
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership.
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits.
• Support existing processes running in production and implement optimized solutions with limited guidance.
• Build dashboards and reports to track effectiveness and efficiency improvements over time, and guide future decisions.
• Establish close working relationships with a variety of cross-functional stakeholders including deal leads, data engineering, and product development teams.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
• 4+ years of experience working in an analytical capacity developing insights, defining metrics, and making recommendations.
• Presentation and communications experience with extracting insights from technical data sets to varied audiences.
• Experience thinking strategically about complex issues, leading to thoughtful recommendations and action plans.

Preferred Qualifications

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy and data pipelining.

For those who live in or expect to work from California if hired for this position, please click here for additional information. LocationsAbout 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 WhatsApp 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $104,000/year to $146,000/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.