Data Analyst

Job Description:
Scheduling: Hybrid (travel to EH office as needed), 8-5 EST hours, maybe once annual conference travel

Must have:
QlikSense & PowerBI mandatory
Proactive in identifying what needs to be measured, metrics, and "so what "

Background:
product company like Google, Netflix, companies with known good products
Ideally 7-10+ years of experience, would accept less if a superstar candidate
Operations, strategy, and product experience

Team composition:
8 internal, 50 overall including vendors
20 on a regular basis (product owners, Client)
Team is hybrid, Teams calls, online model for collaboration
Casual vibe, informal
Will not be managing people, will be an individual contributor at senior level

Other helpful info:
Products analytics
Oversee 3 products for marketing - managing/creating/approving content
Heavy dataset available and want to leverage it fully, automate and data-driven decision making is the goal
Want to have concrete data on how things are performing
Need someone strong and senior in the field, can work autonomously, driving the thinking and strategy, not just building dashboards, identifying what could be measured based on the roadmap

Official job description: Job Purpose
The Content Enablement Team vision is to enable, by 2025, a seamless ecosystem which makes finding, creating, managing, and publishing content a competitive advantage for Client.
This is to be achieved via three core objectives:
Building the Next Generation FUSE by creating an efficient content journey with a simplified process and improving speed to market.
Enabling reusability of content across Client.
Empowering Client associates and partners to focus on innovating impactful experiences for external customers. The Senior Data Analyst works with Content Enablement business & IT stakeholders and play a critical role in driving data-driven decision-making and improving the overall product performance. The primary responsibility will be to identify and analyze large datasets, extract valuable insights, and provide actionable recommendations to optimize the product's features, functionalities, and user experience.

Major Activities
Collaborate with cross-functional teams, including product owners, IT, and Product success, to identify key metrics and define data requirements for product develop-ment and enhancement.
Analyze complex datasets to identify trends, patterns, and correlations that provide valuable insights into user behavior, product usage and adoption, and overall prod-uct performance.
Develop and maintain key performance indicators (KPIs), dashboards, and reports to track the product's performance and identify areas for improvement.
Support experiments to measure the impact of product changes and guide decision-making.
Utilize statistical techniques and predictive modeling to forecast user behavior and make data-driven recommendations for product improvements.
Present findings and recommendations to stakeholders in a clear and concise man-ner, enabling them to make informed decisions about product strategy.
Stay up-to-date with industry trends and best practices in data analysis, product ana-lytics, and data visualization, and apply them to enhance the product team's capabili-ties.

Education and experience Education (minimum/desirable):
Minimum: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline preferred

Experience/skills required:
1. 10+ year of proven experience as a Data Analyst or similar role, preferably in a product-focused environment.
2. Strong analytical skills, with the ability to analyze complex datasets using statistical techniques and data visualization tools.
3. Experience with Power BI and Qlik sense (additional similar tools are a plus) to create interactive dashboards and reports.
4. Familiarity with prototyping and experimentation frameworks.
5. Excellent communication and presentation skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
6. Strong problem-solving skills and the ability to think critically to identify actionable insights from data.
7. Attention to detail and the ability to work independently, manage multiple priorities, and meet deadlines.
8. Have a discovery and growth mindset.
9. Commitment to lead on Client defined values & behaviors.