Data Analyst III

Are you passionate about transforming data into impactful insights? As a Data Analyst, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the world's richest data sets, you will help define the experiences we build for billions of people and hundreds of millions of businesses worldwide. You will collaborate on a wide array of product and business problems with a wide range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others. You will use data and analysis to identify and solve the biggest challenges in product development. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. Responsibilities • Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people and businesses. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. • Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. • Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity and be a trusted strategic partner. Minimum Qualifications • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience • A minimum of 5 years of work experience in analytics (minimum of 4 years with a Ph.D.) • Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R). Preferred Qualifications • Master's or Ph.D. Degree in a quantitative field. Benefits • 401(k). • Dental Insurance. • Health insurance. • Vision insurance. • We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. • The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities • Participate in OP monthly team meetings and participate in team-building efforts. • Contribute to OP technical discussions, peer reviews, etc. • Contribute content and collaborate via the OP-Wiki/Knowledge Base. • Provide status reports to OP Account Management as requested. About Us OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cybersecurity, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.