almabetter

Product Operations Data Analyst

Poppulo, Bengaluru, Karnataka

Onsite4 years expData SciencePermanent

30 Oct, 2024

Skills:

ExcelSQLPendoSegmentJellyfishTableauPower BILookerPythonR

Product Operations Data Analyst

Introduction

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company?

At Poppulo, we’re pioneering the next wave of communications and workplace technology. We understand the challenges of reaching every employee, managing office space in a hybrid world, and improving the customer and guest experience. We exist to make these things easier and bring harmony to our customers.

Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 50M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive.

The Opportunity

We are seeking a highly analytical and detail-oriented Product Operations Data Analyst to join our Product Enablement team. This role is vital for driving operational excellence and enabling a product-led approach by leveraging data to inform decisions and optimize processes.

Key Responsibilities

  • Data Analysis & Reporting:

    • Collect, analyze, and interpret data across the product lifecycle to identify trends, opportunities, and areas for improvement.
    • Develop and maintain dashboards and reports that provide visibility into key metrics such as product adoption, customer satisfaction, and operational efficiency.
    • Present insights and actionable recommendations to stakeholders, ensuring that data-driven decisions are made at every level of the product organization.
  • Process Optimization:

    • Collaborate with product managers, engineers, and operations teams to identify bottlenecks and inefficiencies in the product development process.
    • Use data to drive continuous improvement initiatives, implementing best practices to streamline processes and reduce time-to-market.
    • Support the establishment of scalable, repeatable processes that improve the overall efficiency and effectiveness of the product operations function.
  • Cross-Functional Collaboration:

    • Partner closely with product managers to translate strategic goals into measurable KPIs that align with both customer needs and business objectives.
    • Work with engineering and operations teams to ensure data collection processes are robust and aligned with the product roadmap.
    • Facilitate cross-functional alignment by providing clear, data-driven insights that help teams understand the impact of their work on overall product success.
  • Data Management & Integrity:

    • Ensure data accuracy and integrity by implementing strong data governance practices and conducting regular audits.
    • Collaborate with engineering to enhance data collection methods and ensure that the right data is captured for meaningful analysis.
    • Establish and maintain data documentation to support transparency and consistency across the organization.
  • Ad-hoc Analysis & Strategic Support:

    • Conduct deep-dive analyses on specific product features, customer segments, or operational challenges as needed.
    • Provide strategic support for product launches, customer research, and other key initiatives by delivering data-driven insights that guide decision-making.
    • Leverage analysis to inform the development of metrics that monitor the effectiveness of product processes and outcomes.

Skills & Experience Required

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Business Analytics, or a related field. Advanced degree preferred
  • 4+ years of experience in data analysis, preferably within Product Operations or Product Management environment.
  • Proficiency with data analysis tools such as Excel & SQL
  • Familiarity with product platforms such as Pendo, Segment and Jellyfish.
  • Experience with data visualization tools like Tableau, Power BI or Looker.
  • Familiarity with product management processes, KPIs, and the role of product operations in driving product success.
  • Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
  • Experience with A/B testing and experimentation methodologies.
  • Knowledge of agile product development processes.
  • Understanding of product-led growth strategies and the role of product operations in enabling them.
  • Experience with process optimization and the implementation of operational best practices.
  • Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
  • Excellent communication and presentation skills, with the ability to convey data-driven insights to both technical and non-technical stakeholders.
  • Strong attention to detail and a commitment to data accuracy.

Optional Skills

  • Experience with Python, R, or similar
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