About Us:
What you’ll do:
Work directly with the product growth team to help analyze data, find insights, and provide solutions.
Identify key metrics and build dashboards to visualize the business and product growth process.
Own projects, data models, and dashboards and keep them high-quality and up-to-date.
Partner with cross-functional teams to define success metrics, create approaches to track the data, quantify and evaluate the data, and then develop a common language for all colleagues to understand these KPIs.
Provide the cross-functional teams with ad-hoc analysis and automated dashboards so that everyone gets a good sense of the state of the business.
Develop an in-depth analytical (user) understanding of what drives growth for the product and how it can be improved.
Enable effective decision-making by retrieving and aggregating data from multiple sources and compiling it into a simplified and actionable format.
What you’ll need:
University degree preferably in Engineering, MIS, Management, or Statistics.
1-3 years experience in data analytics, business intelligence, or similar roles.
Proficient in data analysis, including defining KPI strategy and growth opportunities, time series analysis, data visualization
Strong communication skills and an ability to break down complex information into relevant and digestible points
Proficiency in data querying in SQL.
Proficiency in programming in Python and R.
Having a track record of executing Data Analyst work for a SAAS or online product company
Experience with data warehouses such as Snowflake, Redshift, or BigQuery
Why Choose AppHub?
Culture: You will be part of a culture of innovation, empowerment, collaboration and fun!
People: Our global team is made up of individuals with an entrepreneurial spirit and enthusiasm for their work.
Industry: You’ll be part of the e-commerce SaaS industry that’s set to experience rapid growth and expansion in the next five years.
Originally posted on Himalayas
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Post:
Data Analyst, Data Science Analyst, Data Scientist, Business Data Analyst, Data Specialist
