Data Analyst III

Are you passionate about transforming data into impactful insights? We’re on the lookout for a talented Data Analyst who shares our commitment to building reliable and safe apps and products. In this dynamic, fast-paced environment, you'll thrive on collaboration across teams, leveraging your strong quantitative skills, statistical expertise, and data visualization talents. If you're eager to make a meaningful impact through clear communication and strategic partnerships, we want to hear from you.

Responsibilities

• Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product, and Engineering teams to solve problems, 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 the 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 build repeatable and reproducible analysis.

Minimum Qualifications

• 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.

Preferred Qualifications

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

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 At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.