Data Analyst II Job in Bangalore at LexisNexis

LexisNexis is hiring for the role of Data Analyst II!

Responsibilities of the Candidate:

• Define the Right Metrics: Use your deep knowledge of user behaviour to define performance metrics with your stakeholders that align with user success and satisfaction. For new features apply your customer-centricity and business knowledge to identify and define the key metrics to evaluate product success. Collaborate with business stakeholders to define product OKRs to ensure we focus our efforts effectively.
• Measure Performance: Set up dashboards and reports to track performance. Build models to understand product performance and user behaviour - ultimately quantifying and communicating these insights through product metrics.  Review user experience to ensure that the appropriate tagging and tracking are in place to improve our products. Create product/user funnels to understand and represent user behaviour and engagement with our products. Uncovering opportunities for new features, and collaborating with the Product Manager to define, prototype (& evaluate experiment results) and scale features & solutions. 
• Identify and Test Opportunities for Improvements: Grounded in deep analysis of our datasets, generate hypotheses and validate them through online experimentation and AB testing. Then deliver these together with product managers, designers and engineers. 
• Advocate Data-Driven Culture: Communicate insights and information effectively and engagingly, through presentations, reporting and dashboards to all levels of the organization. Advocate for a data-driven culture and help your stakeholders how interpret results. Empowering and enabling stakeholders across the business to embrace the power of data and drive data-informed decision-making.

Requirements:

• Growth Mindset:  The right mix of passion, humility, positivity and desire to grow.
• Experience: Experience solving problems with data, and collaborating with stakeholders as a data-driven thought partner. 
• Preferred:
  • Experience in product analytics, digital product optimisation, A/B testing, and web analytics.
  • Demonstrable experience in data analysis and insight generation with business impact, incl. building predictive models.
  • Ability to initiate and drive projects to completion with minimal guidance. 
  • Degree with a quantitative focus (Statistics, Mathematics, Physics, Computer Science, or Economics with a strong analytical/statistical foundation).
• Technical Skills: Proficiency with SQL, Adobe Analytics and a strong understanding of using data to solve problems. . 
• Communication & Stakeholder management:
  • Strong communicator and fluent in English (speaking and writing).
  • Ability to communicate the findings and recommendations of analysis clearly and effectively at all levels, including.
  • Experience with visual reporting and dashboarding tools (e.g., Tableau). Ability to engage with multiple stakeholders across the wider business.