Data Analyst

We are on a mission to rid the world of bad customer service by "mobilizing" the way help is delivered. Today's consumers want an always-available customer service experience that leaves them feeling valued and respected. Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach that changes how conversations occur, moving the conversation away from slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with Brands on their own time. Through our market-leading chatbots and automation, we help brands deliver instant and rapid resolutions. Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works. Companies such as Scopely, Supercell, EA, Square, and hundreds of other leading brands use the Helpshift platform to mobilize customer service delivery. Over 900 million active monthly consumers are enabled on 2B+ devices around the world with Helpshift.
Some numbers which illustrate our scale:

• 85k/rps
• 30ms response time
• 300 GB data transfer/hour
• 1000 VMs deployed at peak
  

About Role

We are looking for curious individuals to analyse and generate insights for Helpshift engagement and performance. You will be working with cross-functional teams to understand requirements, analyse the data and deliver insights to enable business decisions. As a data analyst, you will need to define & monitor key performance indicators for the product and expedite product diagnostics using data. You will be shaping the future of the product at Helpshift.

Requirements

• 2+ years of experience as a Data Analyst or in a similar analytical role
• Proficient in SQL and Python
• Experienced in presenting insights using visualisations with tools such as Metabase, Power BI, Sigma or equivalent
• Develop and maintain dashboards and reports to track key business metrics and support strategic decisions
• Experienced in data modelling and enjoys uncovering trends in the data
• Support ETL/ELT processes and ensure data accuracy, integrity, and reliability
• Utilize Python and AWS cloud tools to automate data workflows and analysis tasks
• Self-motivated, Curious & detail-oriented
• Enjoy working in fast-paced environments and can adapt to shifting conditions, priorities, or deadlines
  

Benefits

• Hybrid setup
• Worker's insurance
• Paid Time Offs
• Other employee benefits to be discussed by our Talent Acquisition team in India
  

Helpshift embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability statusPrivacy Notice
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