Senior Data Analyst

Oxygen is hiring a Senior Data Analyst

with 5 - 10 years of experience. Based in United States - Princeton, NJ and with In-office ways of working.

Job description and responsibilities:

We are looking for a highly specialized data analyst with experience in working with marketing teams. Responsibilities include data extraction, segmentation, process automation, A/B testing and ensuring data accuracy. The role contributes to revenue growth and customer retention through insights and optimized targeting strategies for the marketing team. We seek innovation, strong communication with senior managers, and a deep understanding of business operations and industry trends. You will need a data science skillset and expertise to deliver insights and solutions that enhance operational efficiency and drive growth.

Responsibilities

• Oversee data cleaning, processing, insight generation, and reporting. Drafting strategic and tactical recommendations across all marketing channels to help synthesize findings and align on strategy.
• Standardize reporting to support marketing campaigns and implement dashboards for tracking and creating dynamic visualizations of performance against target for all levels of granularity of tactics, creatives, audiences, and sites in the market.
• Analyze large data sets to develop critical insights, such as identifying target audience segments for lead generation and/or marketing campaigns, and collaborate with business units on long-term planning, policy development, and problem resolution.
• Drive cross functional analytics projects from beginning to end: build relationships with partner teams, collect and analyze data, and present key insights and recommendations to drive business improvements.
• Build and support source-of-truth ‘Reverse ETL’ data pipelines, to foster and maintain business clarity in the go-to-market organization.
• Design, assemble and maintain data models that go-to-market teams can use to build dashboards for reporting and deriving insights.
• Have the ability to design, organize, and coordinate A/B and multivariate tests and run AB tests across multiple digital properties, business units, target users, and global markets.

Requirements and qualifications:

Qualifications

• 5+ years: marketing data analysis or data scientist experience is a MUST.
• Proficiency: in SQL and database querying techniques.
• Experience: with automation tools and scripting languages (e.g., Python, R) for automating data processes is needed.
• Expert level understanding of: AWS S3 & Google, Google APIs, BI tools, quick insight, Google Bigquery and AWS Redshift, AWS Glue & Google Cloud Dataflow.
• Segment: Twilio product management capability a plus and Understanding of best practices for using Firebase Remote Config A/B testing preferred.
• Strong analytical skills: with the ability to interpret complex data sets.
• Proficiency: in statistical analysis and mathematical modeling may be required, especially for advanced data analysis tasks.
• Familiarity: with marketing principles, customer segmentation strategies, channel attribution, LTV: CAC and campaign optimization is needed.
• Proficiency: in Microsoft and Google Suites.