Product Analyst, Future of Personal Identity

 

Today there are millions of websites, mobile apps, and API services in the world, and most of these depend on identity as a key layer to deliver value. However, the end user experiences for creating, managing, and using their identity on these apps and services have not significantly changed in the last decade. Today, users are still dealing with hundreds of usernames and passwords that effectively proxy their relationships with businesses. As Okta, we believe the users are ready for a better experience, and our goal is to fundamentally rethink and redefine what the future of identity looks like across the Internet.

To do this, we need your help! We’re looking for a well-rounded technical Product Analyst to provide quantitative analysis and insights on our existing business as well as a strategic perspective for new product investments.

As a data-loving member of the team, you'll serve as an analytics expert for the product & eng team, digging into our systems to gather data, and using numbers to create meaningful insights from that data to help our product organization make better decisions. You will also work to effectively turn business questions into data analysis and provide meaningful recommendations on strategy.

 

Responsibilities:

Gather data from various technical and business systems, and conduct data analysis to make business recommendations (e.g., cost-benefit, forecasting, impact analysis).

Deliver effective presentations of findings and recommendations to multiple levels of stakeholders, creating visual displays of quantitative information.

Develop and automate reports, iteratively build, and prototype dashboards to provide insights at scale, solving for business priorities.

Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations.

Help product organization to focus on key decisions to improve products and services.

 

Minimum qualifications:

BA/BS or Master's degree in a quantitative field such as; Statistics, Computer Science, Engineering, Mathematics, Data Sciences.

3 years of experience working as a product or engineering analyst in a Consumer and/or SaaS environment. 

Experience articulating product/engineering questions, pulling data from datasets, and using statistics to derive an answer.

Excellent written and verbal communication skills.

Experience in scripting with SQL, extracting large sets of data, and design of ETL flows.

Passion and aptitude in data, metrics, analysis, and trends and applied knowledge of measurement, statistics and program evaluation.

Ability to translate analysis results into business recommendations

Strong problem-solving skills and solid business judgment.

Okta is rethinking the traditional work environment, providing our employees with the flexibility to be their most creative and successful versions of themselves, no matter where they are located.  We enable a flexible approach to work, meaning you can work from the office, or from home, regardless of where you live.  Okta invests in the best technologies and provides flexible benefits and collaborative work environments/experiences, empowering employees to work productively in a setting that best and uniquely suits their needs.

 

Okta is an Equal Opportunity Employer.

Okta is rethinking the traditional work environment, providing our employees with the flexibility to be their most creative and successful versions of themselves, no matter where they are located.  We enable a flexible approach to work, meaning for roles where it makes sense, you can work from the office, or from home, regardless of where you live.  Okta invests in the best technologies and provides flexible benefits and collaborative work environments/experiences, empowering employees to work productively in a setting that best and uniquely suits their needs.  Find your place at Okta https://www.okta.com/company/careers/. 

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Okta.  More details about Okta’s privacy practices can be found at: https://www.okta.com/privacy-policy.

#Ll-GM

Apply

Resume
Upload Resume/CV (PDF must be less than 8 MB )
Cover Letter
Upload Cover Letter (PDF must be less than 8 MB )
U.S. Equal Opportunity Employment Information (Click here for instructions)

We request this data to help assess our candidates and workforce to promote diversity, inclusion, and belonging and to ensure we maintain fair and equitable hiring practices. Responding to the survey is voluntary.