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4 Weeks ago

Data Analyst - GCSS

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Hyderabad, Telangana, India
Social Good & Community Development
Full-Time
Whatfix

Overview

Who are we?

Whatfix is a leading global B2B SaaS organization and the largest pure-play enterprise digital adoption platform solution provider.

Utilizing GenAI technology, Whatfix enhances all stages of software deployment with application simulation, product analytics, and digital adoption, driving business outcomes such as increased revenue win rates, cost reduction, risk compliance, enhanced productivity, and improved user experience.

We have seven offices in the US, India, UK, Germany, Singapore, and Australia, supporting 700+ global customers, including 80+ Fortune 500 companies. Whatfix has raised $265 million to date and is backed by marquee investors, including Softbank, PeakXV, Dragoneer, and Cisco Investments.

With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards.

      • Recognized as a “Leader” in the digital adoption platforms (DAP) category for the past 4+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group.
      • The sole vendor named as Customers’ Choice: 2024 Gartner® Voice of the Customer for Digital Adoption Platform Report. We also boast a star rating of 4.6 on G2 Crowd 4.5 on Gartner Peer Insights and a high CSAT of 99.8%
      • Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Third Consecutive Year
      • Won the Silver for Stevie's Employer of the Year 2023 – Computer Software category and also recognized as Great Place to Work 2022-2023
      • Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal
In this role you will

  • Data Analysis and Insights:
    • Collect, Organise, and Clean data for further processing and analysis.
    • Analyze and identify patterns in key business metrics and KPIs.
    • Conduct in-depth data analysis to uncover trends, patterns, and insights.
    • Use statistical techniques and data mining tools to identify critical metrics and KPIs.
    • Develop and maintain dashboards to track key metrics and KPIs.
    • Conduct ad-hoc data investigations and provide data-driven insights.
    • Develop data visualizations (using tools like Looker Studio, Looker, and Matplotlib) to effectively communicate insights.
  • ETL and Data Engineering:
    • Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
    • Establish data lineage to track data flow and transformations.
    • Ensure data quality, consistency, and security.
  • Presentation and Communication:
    • Lead presentation of derived data insights for peers and leadership.
    • Capture the pulse of the audience and convert them into data analysis requirements.
    • Data-Driven Tool Development:
      • Design, develop, and maintain data-driven internal tools using no-code/low-code platforms like Retool.
    • Cloud and Database Technologies:
      • Design and implement data solutions on AWS or other cloud platforms.
      • Collaborate with database administrators to ensure optimal database performance and security.
      • Migrate data from legacy systems to cloud-based data platforms.
    Perks & Benefits (India)

    • Best-in-class medical insurance coverage
    • Free lunch & dinner buffet
    • Doorstep cab drop facility
    • Education sponsorship
    • Internal job transfer & global mobility programs

    Please Note:

    • We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values like - Customer First; Empathy; Transparency; Fail Fast & Scale Fast; No Hierarchies for Communication; Deep Dive & Innovate; Trust, Do it as you own it;
    • We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status.
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