Data Analyst
4 weeks ago
About the Role
We are seeking a highly motivated Data Analyst to join our central product performance team at HRS Group. As a Data Analyst, you will be responsible for leading the setup and measurement of key performance metrics across all platforms within HRS. You will work closely with the product management, engineering teams, application support, and central data teams to build the foundations of product analytics framework and own the end-to-end creation of analytics pipeline across key user-facing products at HRS.
Key Responsibilities
- Create a framework for defining, measuring, and monitoring product metrics across all HRS platforms.
- Create a user interaction and engagement tracking framework for each platform and across the HRS value proposition and platforms, targeting key customer personas, product opportunities derived from persona needs, and HRS' business objectives.
- Perform detailed analyses of product metrics and user feedback across in-session, post-session, and omni-channel engagements to uncover actionable insights.
- Embed the measurement framework into an Augmented Analytics stack supporting problem identification, idea validation, usability testing, advanced user behavior insights, measuring product progress, and informing future decisions.
- Condition the Augmented Analytics stack to support Augmented Intelligence in the HRS platforms to leverage machine intelligence in the automation of user processes and decisions.
- Oversee the product metrics processes on a weekly, monthly, and quarterly basis through structured reports and insights as well as well-defined ceremonies involving key stakeholders.
- Collaborate with Product Managers and the Product Leadership team to help define the process to make data-driven product decisions, including opportunity sizing and measuring value delivered.
- Identify insights and opportunities through exploratory analysis, including trend assessment, cohort analysis, funnel analysis, user flow evaluation, and user feedback.
- Develop persona profiles, identify predictive product demand and inventory intents, and create actionable recommendations to the product experience.
- Ensure consistency in internal instrumentation and taxonomy to maintain robust data foundations and accurate tracking. Utilize data management tools within HRS to develop and enforce best-in-class standards and governance plans for the long-term maintenance of internal product taxonomy.
- Ensure Data Security and adequate Cost-Benefit in the systems and processes owned and supported by the team.
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