Collaborate with product development teams to identify areas of opportunity and drive value for our customers by using multiple data sources and analytical techniques.
Collaborate with developers and data engineers in building stable consumable data products.
Act as a data and insights consultant throughout the product development lifecycle in areas such as product discovery, solution design, and release. Help product teams in reporting and monitoring of their metrics.
Partner with business stakeholders to understand their questions, translate it into key metrics and enable self-service decisioning through building dashboards.
Analyse data from various sources to generate comprehensive reports identifying performance trends and improvement opportunities.
Through ad-hoc questions, identify trends and drivers, perform exploratory data analyses and present views that will provide visibility into our performance. Deliver high-quality analytics solutions and foster a culture of continuous learning and improvement.
Collaborating in a fast paced, agile environment that focuses on delivering customer value early and often.
Your Qualifications:
6-9 years of experience in analytics, preferably in an e-commerce environment.
Bachelors degree in either Business, Mathematics, Statistics, Computer Science, Engineering, Economics, or a related field from a reputable university.
Expert technical skills in SQL (Snowflake) and visualization tools (Domo/Looker/Power BI/ Tableau).
Good understanding of exploratory analysis and statistical techniques and skilled in finding important patterns and trends in the data; Strong problem-solving skills (ability to translate a business ask into a very concrete question and then breakdown it down into important analysis).
Good communication skills (able to articulate your point clearly based on your audience)
Good organizational skills, good attention to detail and consistent record of effectively delivering on projects supporting multiple business partners to make decisions.
Experience with programming languages (eg, Python, R) is a plus.
Experience with any web-analytics and product analytics tools is a plus.
