Senior Data Analyst

  • San Francisco, CA, USA
  • Full-time

Company Description

Optimizely is the world's leader in customer experience optimization, allowing businesses to dramatically drive up the value of their digital products, commerce and campaigns through its best in class experimentation software platform. By replacing digital guesswork with evidence-based results, Optimizely enables product and marketing professionals to accelerate innovation, lower the risk of new features, and drive up the return on investment from digital by up to 10X. Over 26 of the Fortune 100 companies choose Optimizely to power their global digital experiences. Optimizely’s impressive customer list includes eBay, FOX, IBM, The New York Times and many more global enterprises.

Job Description

Optimizely is the world's leader in customer experience optimization, allowing businesses to dramatically drive up the value of their digital products, commerce and campaigns through its best in class experimentation software platform. By replacing digital guesswork with evidence-based results, Optimizely enables product and marketing professionals to accelerate innovation, lower the risk of new features, and drive up the return on investment from digital by up to 10X. Over 26 of the Fortune 100 companies choose Optimizely to power their global digital experiences. Optimizely’s impressive customer list includes eBay, FOX, IBM, The New York Times and many more global enterprises.

 

Optimizely is looking for a mid-to-senior level Data Analyst who can provide actionable insight through a combination of data visualization, story telling, and analysis through SQL.  Beyond analyzing data this person will define the metrics that departments use to assess their performance by developing a deep understanding of business processes and integrating with stakeholders on other teams.  This person has a strong technical and quantitative background, and the ability to translate complex concepts to a range of audiences.

 

What you and your team will be doing:

  • Own KPIs and business dashboards, using SQL, to enable business performance management

  • Conduct quantitative research through statistical analysis in R or Python and develop actionable insights

  • Collaborate with stakeholders in other departments to execute on strategic initiatives through project-based research and ad-hoc analysis.

  • Develop statistical  and machine learning models like supervised and unsupervised learning on customer and product data sets to identify key drivers of the business

  • Drive efficiencies in business with automation of data and information, and identify areas of opportunity where existing data could provide enhanced business benefit

  • Translate technical findings to non-technical audiences, and communicate it through the use of well-designed visualizations using tools such as Looker, Tableau etc

 

 

 

Qualifications

Qualifications:

  • B.S or M.S degree preferably in an Applied Math discipline such as Statistics, Analytics, Econometrics, Machine Learning or other similarly quantitative Engineering subject.

  • Quantitative analysis background with 3+ years of experience using data to solve problems and effectively answer business most pressing questions

  • Extensive SQL experience, querying large and complex data sets and build effective visualizations

  • Exceptional analytical and problem-solving abilities.

  • Knowledge of relational and dimensional database structures, theories, principles, and best practices

  • Ability to apply data science concepts like Regression, Decision Trees, Neural Net to solve real-world business problems using Python, R

Additional Information

At Optimizely, we embody inclusion and embrace diversity.  Optimizely is an equal opportunity employer and makes employment decisions on the basis of merit.  Optimizely prohibits discrimination based on race, color, religion, sex, sexual identity, gender identity, marital status, veteran status, nationality, citizenship, age, disability, medical condition, pregnancy, or any other unlawful consideration. All your information will be kept confidential according to EEO guidelines.

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