Data Analytics & Engineering - Data Analyst III

Job Description:

Data Analyst

Product Operations’ focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure a high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people’s issues, and are strong advocates for Meta users globally.

If you like helping people, Product Operations is for you.

• Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities.
• Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks.
• Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding.
• Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation, e.g., through identification of data & tooling requirements enabling self-service / scalable solutions.
• Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards.
• Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis.

• Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
• 4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
• Proficiency with intermediate to advanced SQL concepts for data extraction.
• Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
• Experience creating dashboards with Tableau, Power Bi, Alteryx and other data visualization tools.
• Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
• Experience with communicating and presenting findings to non-technical stakeholders.

• Advanced technical degree or graduate degree in statistics, marketing, or related fields.
• Experience measuring the performance of AI models.
• Experience with ETL pipeline development.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”