Data Analyst

CaptivateIQ is a leading sales commission platform — recognized by industry analysts, including Forrester, as well as reputable marketplaces like G2. We are trusted by category leaders and innovators like Gong, Lattice, and DataRobot.
With backing from Sequoia, Accel, ICONIQ, Sapphire Ventures, and other leading investors, CaptivateIQ is on a mission to enable every company to take control of commission management.
Come and see why Glassdoor and Comparably have recognized CaptivateIQ as a best place to work!
About the Role:
As a CaptivateIQ data analyst, you will play a key role across our Engineering, Product and Design (EPD) teams across a broad range of strategic and operational data responsibilities.  You’ll influence product strategy and  translate business, product and technical questions into concrete quantitative analysis. You’ll be a critical partner working cross functionally to uncover insights through data analysis deep dives and well-designed core metrics/dashboards. The right person is detail-oriented, curious by nature, can work without supervision, begins projects independently, is comfortable with ambiguity, and has a deep desire to become a thought partner for our EPD teams.
This position will report to the Director of Product Operations under the Product team at CaptivateIQ.
You’ll enjoy this role if you thrive in an innovative, ambiguous, fast-paced environment, and are a champion for data-driven decision-making.

In this role you will:

• Enable product, engineering, and design teams to understand and measure product, business, and customer performance via collaboratively setting OKRs, building dashboards, performing deep-dive analysis, and sharing data insights. 
• Communicate/present actionable insights through engaging data storytelling to stakeholders.
• Design, create, automate, and maintain reporting that drives an improved understanding of product usage and end-to-end customer lifecycle.
• Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve.
• Collaborate with data engineers, product managers, and other teams to improve our data architecture and  future-proof our analytics instrumentation. 

Requirements:

• 5+ years experience as a data analyst, data science, data engineer, or related role
• BS degree in analytical field: statistics, applied mathematics, economics, engineering etc. or equivalent practical experience
• Advanced proficiency with SQL in querying and manipulating large datasets
• Excellent communication skills, with the ability to translate complicated findings or technical approaches into easy-to-understand data stories
• Consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes
• Experience with visualization and dashboard development and maintenance.
• Proficiency with BI solutions such as Tableau, Looker, Mode, PowerBI, Metabase, etc
• Ability to adapt and work independently in a fast-paced, dynamic, and deadline-oriented environment

Preferred Requirements:

• Proficiency with Python, R or similar scripting language
• Advanced degree (MS, PhD) in analytical field: statistics, applied mathematics, economics, engineering etc.

Notice for Prospective Candidates:We are aware of active recruitment scams using the CaptivateIQ name, in which individuals pose as our recruiters and post fake remote job openings and make fake job offers on the Internet. Please note, we will never do the following:-Attempt to correspond with a candidate using a free web-based account, such as an email address that ends in @gmail.com, @yahoo.com, @hotmail.com, etc.-Make an offer of employment without conducting multiple rounds of interviews face-to-face using secure video-conferencing technology.-Ask candidates to cash checks to buy equipment on behalf of CaptivateIQ.-Ask candidates to make a payment in order to be considered for a position.-Make early requests for candidates' personal information such as date of birth, passport details, credit card numbers, bank details, and social security number, etc.-Please note that we’ll only ask for more sensitive personal information in connection with background checks after an offer is made.