Data Analytics, Data science techniques, Deep Learning, Effective communication skills, Machine learning techniques, PowerBI, Product Management, Python Programming, SQL, Tableau
The Product Analytics team at Mindtickle has a clear mission - to enable impactful product decisions from the data lens. It includes a quantitative understanding of
To scale efficiently in a hyper-growth setting we implement an ‘analytics-as-a-value-center’ concept. We’re looking for someone who is enthusiastic about data, data-driven decision-making, and passionate about helping build, and scale data functions in a company that is on its way to the next phase of growth. The ideal candidate has a strong familiarity with a range of systems and tools, is highly structured and results-driven, and loves solving ambiguous problems through data. This role will report to the Head of Product Analytics.
If you're this person, and you are looking for a great group of people to partner with on your next journey, then let's talk.
What’s in it for you?
We’d love to hear from you, if you:
Our culture & accolades
As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks and many opportunities for growth.
Our culture reflects our employee's globally diverse backgrounds along with our commitment to our customers, and each other, and a passion for excellence. We live up to our values, DAB, Delight your customers, Act as a Founder, and Better Together.
Mindtickle is proud to be an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Mindtickle provides a comprehensive, data-driven solution for sales readiness and enablement that fuels revenue growth and brand value for dozens of Fortune 500 and Global 2000 companies and hundreds of the world’s most recognized companies across technology, life sciences, financial services, manufacturing, and service sectors.