Data Analytics Strategist
3 weeks ago
Unlock Business Potential with Data-Driven Insights
About myGwork and Amazon PartnershipAs an inclusive employer, Amazon collaborates with myGwork – the largest global platform for the LGBTQ+ business community. This strategic partnership fosters a culture of diversity, equity, and inclusion.
Salary:$144,000 - $170,000 per year, based on experience and location. Please note that salary may vary depending on your background and qualifications.
About the JobWe're seeking a skilled Data Analytics Strategist to join our team at Amazon. As a key member of our analytics community, you will play a vital role in extracting meaningful insights from large volumes of data to inform business decisions.
The ideal candidate possesses strong analytical skills, excellent communication abilities, and a passion for working with diverse stakeholders across the organization. If you're a creative problem solver who thrives in a fast-paced environment, we encourage you to apply.
Key Responsibilities:
- Partner with leadership and customer groups to understand needs and recommend business intelligence solutions.
- Collaborate with data engineering teams to define data elements and structure for analytical capabilities.
- Design, implement, and support platforms providing ad-hoc access to large datasets for non-technical business users.
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Owning the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc., to drive key business decisions.
- Participate in strategic and tactical planning discussions.
- Standardize data and report consumption across all customer groups.
- Making recommendations for new metrics, techniques, and strategies to improve operational and quality metrics.
BASIC QUALIFICATIONS:
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc., experience.
- Experience with data visualization using Tableau, Quicksight, or similar tools.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience in Statistical Analysis packages such as R, SAS, and Matlab.
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling.
PREFERRED QUALIFICATIONS:
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
- Experience in data mining, ETL, etc., and using databases in a business environment with large-scale, complex datasets.
Ambition Meets Opportunity
This is an exceptional opportunity for a motivated individual to join Amazon's analytics community and make a meaningful impact on the company's success. If you're ready to take your career to the next level, please submit your application today
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