Job Snapshot
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
-->What users are doing within Mindtickle
-->How product features perform as far as how we measure the success of the product development life cycle
-->Measure the impact of various product decisions from both the user experience and revenue perspectives
-->Guide product development and roadmap decisions
-->Establish product data as a key influencer in the decision-making process of other functions
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?
- Own data instrumentation for specific product lines
- Be the single point of contact and SME for ALL data on key product lines
- Partner with the Product team to assess business impact and customer outcomes for planned product features to enable data-driven product roadmap decisions
- Drive and streamline data integrations across key systems, including Mixpanel, FreshDesk, Appcues, Salesforce etc.
- Help inculcate product analytics best practices across teams in terms of problem-solving and data management
We’d love to hear from you, if you:
- Have 3+ years of experience in Analytics, or Product, preferably at a high-growth SaaS company
- Possess first-hand familiarity with platforms like Amplitude, Mixpanel, etc.
- Have hands-on experience with BI tools like PowerBI, Tableau, GoogleStudio
- Hold very strong hands-on skills with querying languages: SQL and Python are a must
- Should be familiar with DL/DW like BigQuery, and Redshift, and an understanding of ETL processes is a plus
- Have a good understanding of statistics is required and familiarity with A/B experimentation and classical ML algorithms is a plus
- Hold a high degree of ownership and autonomy
- Have Excellent communication skills (written, oral, and presentation).
- Have Strong collaboration skills, highly organized and self-motivated with a bias for action and driving result
- Have B.tech./B.S. Degree in Mathematics, Statistics, Economics, Data Science, or Analytics, an MBA is a plus.
