Data Analyst

We are looking for a motivated data analyst with sound experience in handling web/ digital analytics, to join us as part of the Kapiva D2C Business Team. This team is primarily responsible for driving sales and customer engagement on our website. This channel has grown 5x in revenue over the last 12 months and is poised to grow another 5x over the next six. It represents a high-growth, important part of our overall e-commerce growth strategy.

The mandate here is to run an end-to-end sustainable e-commerce business, boost sales through marketing campaigns, and build a cutting edge product (website) that optimizes the customer’s journey as well as increases customer lifetime value.

The Data Analyst will support the business heads by providing data-backed insights in order to drive customer growth, retention and engagement. They will be required to set-up and manage reports, test various hypotheses and coordinate with various stakeholders on a day-to-day basis.

Job Responsibilities

Strategy and planning:

• Work with the D2C functional leads and support analytics planning on a quarterly/ annual basis
• Identify reports and analytics needed to be conducted on a daily/ weekly/ monthly frequency
• Drive planning for hypothesis-led testing of key metrics across the customer funnel

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Analyze large amounts of information to discover trends and patterns
• Work with business teams to prioritize business and information needs
• Collaborate with engineering and product development teams to setup data infrastructure as needed

• Prepare reports / presentations to present actionable insights that can drive business objectives
• Setup live dashboards reporting key cross-functional metrics
• Coordinate with various stakeholders to collect useful and required data
• Present findings to business stakeholders to drive action across the organization
• Propose solutions and strategies to business challenges

Must haves:

• Bachelor’s/ Masters in Mathematics, Economics, Computer Science, Information Management, Statistics or related field
• High proficiency in MS Excel and SQL
• Knowledge of one or more programming languages like Python/ R. Adept at queries, report writing and presenting findings
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - working knowledge of statistics and statistical methods
• Ability to work in a highly dynamic environment across cross-functional teams; good at

coordinating with different departments and managing timelines

• Exceptional English written/verbal communication
• A penchant for understanding consumer traits and behavior and a keen eye to detail

• Hands-on experience with one or more web analytics tools like Google Analytics, Mixpanel, Kissmetrics, Heap, Adobe Analytics, etc.
• Experience in using business intelligence tools like Metabase, Tableau, Power BI is a plus
• Experience in developing predictive models and machine learning algorithms Skills:- MS-Excel, SQL, Python and R Language