Sr Product Analyst – Data Solutions
| Company | Visa |
|---|---|
| Location | Mentor, OH, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, MBA, Associate’s, MD |
| Experience Level | Senior |
Requirements
- 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
- A Bachelor’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Engineering, or a related technical field.
- Experience with reporting and generating insights and dashboards using tools such as Tableau, Kibana, Power BI or Databricks.
- Experience working in Generative AI, and Machine Learning projects ground up in enterprise environment.
- Experience with programming and building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS.
- Proficient in communicating data-driven insights and conveying actionable recommendations.
- Skilled in analyzing large datasets using programming languages such as Python, R, SQL, and/or Spark.
Responsibilities
- Perform advanced data analyses, including the use of AI/ML models, to identify trends, patterns, and insights from large, complex datasets.
- Build and maintain reporting dashboards and visualizations using tools like Tableau, Power BI, and Kibana to provide stakeholders with self-service access to key metrics and KPIs.
- Collaborate cross-functionally with business teams to understand their data needs and translate them into actionable analytical projects.
- Develop and automate data pipelines and ETL processes to ensure timely and reliable data delivery.
- Design and implement experiments, A/B tests, and other research initiatives to evaluate the impact of new products, features, and business strategies.
- Identify opportunities to enhance and fast-track AI adoption within the company, leveraging your understanding of AI applications.
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners, prepare reports, updates, and/or presentations to drive alignment and implementation.
- Stay up-to-date with the latest data science and analytics technologies, and identify opportunities to leverage them within the organization.
- Leverage extensive business knowledge into solution approach, Effectively develop trust and collaboration with internal customers and cross-functional teams, Provide general education on advanced analytics to technical and non-technical business partners.
- Apply various Machine Learning (ML) and analytics techniques to develop classification and prediction models and leverage foundation models to develop generative AI capabilities, integrate client, domain (e.g., payments, product management) and industry knowledge into the solution.
- Conduct exploratory analysis to identify gaps, provide feedback, and innovate solutions to address them.
Preferred Qualifications
- 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
- Product management experience is a plus.
- Experience working with cross-functional teams, including engineering, data science, design, and product.
- Experience with a range of advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, Dask, etc), extensive experience with SAS/SQL/Hive for extracting and aggregating data.