Lucid is a research technology (ResTech) platform that provides programmatic access to first-party data. With respondents in more than 100 countries, Lucid enables anyone, in any industry, to survey online audiences and get the answers they need. These answers reveal the sentiments, motivations, and behaviors of target demographics – data that can be used to build business strategies, measure the impact of digital advertising, publish research, and more. Founded in 2010, Lucid is headquartered in New Orleans, LA with offices throughout the US, Europe, and Asia.

As the Senior Analyst, Product Ops you will work closely with our internal product and engineering teams to evolve the process for how Lucid understands our product data to enhance Lucid’s SaaS products.  Your role will be at the center of building programmatic applications as the in-house expert for all things analytics for our development teams.  You will be responsible for coordinating data and analytics with product team stakeholders,  delivery of suggestions for product improvement paths,  and ongoing measurement of product success metrics.

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Responsibilities

• Support the definition of product KPIs, product adoption and usage metrics, and partner to find answers for complex questions around customer health and success metrics
• Partner with Product to define metrics to evaluate business performance, products, and experiments - and build reports and dashboards to monitor and understand them
• Deepen the Product and Engineering team's understanding of the products, identify impactful opportunities, and measure successful outcomes to drive customer engagement, adoption, retention, and expansion
• Generate data insights to influence product feature roadmap and strategy based on the potential ROI
• Work with Product Managers, UX, and Engineering teams to develop measurement frameworks for product analytics data with a focus on early product development process, including tool selection 
• Advocate for using data to improve the quality of all of our decision making.

Preferred Qualifications

• 2-4 years of professional experience in operations, product, data, and/or analytics at a SaaS company
• Experience with product analysis tools such as Full Story, Google Analytics, MixPanel, Pendo, etc (at least 1)
• Excellent communication, organizational, and analytical skills
• Skilled in manipulating large datasets and interpreting results
• Basic knowledge of descriptive and inferential statistics
• A keen interest in technology and new technology trends
• Experience in SQL and other programming languages (e.g. Python) for manipulating data sets.
• A self-starting, entrepreneurial mindset and the ability to bring out this quality in others
• Passionate about driving value using data and technology
• Demonstrated ability in learning new reporting or BI tools

We understand that many candidates may not be perfectly qualified for a job posting. Experience comes in different forms; many skills are transferable – and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a dynamic, collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is near the desired qualifications.

We also know that diversity of background and thought can enhance problem-solving and encourage more creative thinking, which is why we're dedicated to adding new perspectives to the team.

At Lucid we foster a collaborative and inspiring workplace.  We pride ourselves in doing this by recruiting, hiring and retaining diverse, passionate, and forward-thinking talent. Lucid is committed to and encourages an inclusive environment and we are dedicated to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.