Whatfix - Senior Product Analyst - Data Mining/Predictive Analytics

3 weeks ago

Bangalore, Karnataka, India Whatfix Full time

Who are we?

Whatfix is the #1 Digital Adoption Platform (DAP) for Enterprises. It is integrated as a layer on top of other software applications, which helps users navigate through their application and guides them in completing their tasks, by providing Interactive and Contextual walkthroughs inside the web application at the exact time when the task is being performed.

We help Companies in - Accelerating Product Adoption; Easing the User Onboarding Process; Reducing Training time, resources & costs; Reducing Support efforts & costs; and Increasing Employee Productivity.

"Hustle Mode ON" is the motto we live by.

We are looking for a stellar Product Analyst to come on board.

The Product Analytics & Insights team bridges the operational and product sides of Whatfix, using a strategic mindset, analytical thinking, and operational horsepower to drive business value. The product analyst in this role will work with large amounts of complex data to draw actionable insights not only for the product team but also would impact company strategy as a whole.

What will you get to do?

- Synthesize data to provide actionable insights to the leadership and the product team to influence strategy and growth

- Developing & testing hypotheses to explain both macro and micro trends and opportunities in the business which in turn influence product roadmaps

- Build dashboards, perform analysis, and tell stories with data to help our Product teams make a better decision

- Setting up metrics for measuring product/functional performance and responsible for tracking its improvement

- Recommending product improvements based on analytical findings. Defining new metrics, techniques, and strategies to improve performance

- Own product data from tracking and modelling through visualization and analysis

- Plan and perform AB along with testing and product optimization in conjunction with Product Managers

Our ideal Data Analyst :

- 4-6 Years of experience and a strong analytical background, with a degree in computer science, engineering, statistics or related quantitative field; emphasis on predictive analytics, data mining, statistics, machine learning, algorithms, or similar field desirable

- Understanding of concepts in quantitative user behavior analysis - segmentation, trends, cohort SQL and Python/R/Julia/Scala proficiency - a must

- Ability to turn large amounts of ambiguous data into a concise, meaningful story

- Ability to understand user behavior and the meaning behind the numbers.

- Experience working with BI / Web Analytics tools(Looker/Tableau/Qliksense/Sisense experience an advantage)

- Experience working in a Product set up - SAAS set up an advantage

- Experience with data modeling - an advantage

(ref:hirist.tech)

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