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Senior Data Analyst at Oxygen

Senior Data Analyst

@

Oxygen

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Posted on: 
November 3, 2023
Status: 
Expired
Views:
2

Summary of the Senior Data Analyst job at Oxygen

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. The expected salary range for this role is $120,000 - $160,000
About Oxygen

Oxygen is a modern financial platform designed for the 21st-century economy, tailored to meet the unique needs of today's consumers and small businesses (freelancers, solopreneurs and modern SMBs). We believe beauty lies in simplicity, from design to utility, and build our ever-growing product suite with this in mind. And we’re just getting started. At Oxygen, we’re focused on lifting up those who dare to push boundaries and redefine what's possible by delivering on our promise to be a more fair financial partner. The next generation building the future is writing their own rules and shattering expectations. So are we. For those who reject the status quo, welcome to Banking for the Extraordinary.

Senior Data Analyst job description

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 to 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.
Senior Data Analyst job requirements

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
What we offer at Oxygen

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training.

Oxygen also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a retirement plan, flex time off, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Oxygen reserves the right to amend or modify employee perks and benefits at any time.

Please mention “I found this job at DataAnalyst.com!” in your application, it will help us offer you more opportunities

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Average data analyst salary in the Financial industry is $109,458.
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Oxygen

Oxygen

is hiring

Senior Data Analyst

Website:
Posted on: 
April 1, 2024

About Our Company

Oxygen is a modern financial platform designed for the 21st-century economy, tailored to meet the unique needs of today's consumers and small businesses (freelancers, solopreneurs and modern SMBs). We believe beauty lies in simplicity, from design to utility, and build our ever-growing product suite with this in mind. And we’re just getting started. At Oxygen, we’re focused on lifting up those who dare to push boundaries and redefine what's possible by delivering on our promise to be a more fair financial partner. The next generation building the future is writing their own rules and shattering expectations. So are we. For those who reject the status quo, welcome to Banking for the Extraordinary.

Job Description & 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 to 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

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

What we offer

The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training.

Oxygen also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a retirement plan, flex time off, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Oxygen reserves the right to amend or modify employee perks and benefits at any time.

Apply now

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