Data Analyst

About the Role

Key Responsibilities

• Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact.
• Design interconnected collections of high performance visualizations that enable clear narrative understanding as well as deeper, interactive exploration.
• Be a thought leader for data-informed initiatives and contribute to the team's direction overall.
• Conduct in-depth investigations leveraging large and complex data sets.
• Partner with Data Science, Product, PM, Data Engineering and Software Engineering teams to solve problems at scale.
• Inform, influence, and execute new strategies and tactics using analysis and impact metrics.
• Apply emerging quantitative tools or techniques when they can enhance research conclusions.
• Determine success metrics that measure short and long-term progress for both goal and project performance.
• Foster a community of analysts within the organization by sharing best practices and mentoring.
• Build narrative around data quality for advertiser data and provide insights that will help in better client identification opportunities for the business.
• Handle relational and non-relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation.
• Design and develop data solutions that help product and business teams make data driven analytical decisions tailored to improve data management.
• Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions.
• Create visual representations that efficiently deliver information and enable the discovery of insights from trends, outliers, and patterns in the data.

Requirements

• Master's degree in Business Analytics, Engineering, or a related field and two years of work experience in an analyst or computer-related occupation.
• At least 2 years of experience in Data Lake/Hadoop platform implementation for data analytics projects.
• Experience with relational databases, including Oracle, Postgres, and MySQL, and large-scale distributed systems such as Hadoop and Spark.
• Proficiency in database querying language (SQL) and programming language (Python) for data processing, analysis, and analytics.
• Knowledge of data architecture and data modeling techniques within the advertiser and marketing data domain.
• Experience performing quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models.

Nice to Have

• Experience applying emerging quantitative tools or techniques to enhance research conclusions.
• Experience in designing and developing data solutions for product and business teams.

Qualifications

• Master's degree in Business Analytics, Engineering, or a related field.
• Two years of relevant work experience in data analysis or related roles.

Benefits & Perks

• $184,802/year to $203,280/year + bonus + equity + benefits
• In addition to base compensation, Meta offers benefits.