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Optimizely is the world's leader in customer experience optimization, allowing businesses to dramatically drive up the value of their digital products, commerce & campaigns through its best in class experimentation software platform. By replacing digital guesswork with evidence-based results, Optimizely enables product & marketing professionals to accelerate innovation, lower the risk of new features, & 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 & 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 & campaigns through its best in class experimentation software platform. By replacing digital guesswork with evidence-based results, Optimizely enables product & marketing professionals to accelerate innovation, lower the risk of new features, & 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 & 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, & 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 & integrating with stakeholders on other teams. This person has a strong technical & quantitative background, & the ability to translate complex concepts to a range of audiences.

How you will make an impact

  • Own KPIs & business dashboards, using SQL, to enable business performance management
  • Conduct quantitative research through statistical analysis in R or Python & develop actionable insights
  • Collaborate with stakeholders in other departments to execute on strategic initiatives through project-based research & ad-hoc analysis.
  • Develop statistical & machine learning models like supervised & unsupervised learning on customer & product data sets to identify key drivers of the business
  • Drive efficiencies in business with automation of data & information, & identify areas of opportunity where existing data could provide enhanced business benefit
  • Translate technical findings to non-technical audiences, & communicate it through the use of well-designed visualizations using tools such as Looker, Tableau etc
Qualifications
  • BA/BS in Business, Engineering, Computer Science or a related field; or equivalent professional experience
  • Quantitative analysis background with 3+ years of experience using data to solve problems & effectively answer business most pressing questions
  • Exceptional analytical & problem-solving abilities
  • Good SQL experience, querying large & complex data sets & build effective visualizations
  • It is a plus if you have experience working with Sales, Marketing, Customer Success, & Finance departments
  • It is a plus if you have the basics to apply data science concepts like Regression, Decision Trees to solve real-world business problems using Python, R
Additional Information

At Optimizely, we embody inclusion & embrace diversity. We believe in work/life balance & bringing our true selves to work. To that end, we offer best-in-class perks & benefits that support our Optinauts along their career journey with us. Read more about our culture at optimizely.com/careers.

Optimizely is an equal opportunity employer & 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest & conviction records.

 
 
 
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