Sr. Data Analyst/BIE

US Tech Solutions; Seattle (WA); On-site; USD 80,000 - 100,000; Full time

Job summary

A global staffing firm is seeking a data analyst to track metrics and report trends essential for business operations. Key responsibilities include utilizing data to identify opportunities, influencing product design decisions, and defining success metrics that drive innovation. The ideal candidate should have a strong analytical background, proficiency in SQL, and experience with large data sets. A BS, MS, or PhD in a quantitative field is required, along with excellent communication skills. This role offers an opportunity to collaborate in a dynamic team focused on impactful results.

Qualifications

• Track record delivering impactful results in a consumer-oriented industry.
• Experience working with large data sets.
• Excellent SQL query skills.

Responsibilities

• Track and report on the metrics and trends.
• Use data to identify opportunities.
• Define product requirements and success metrics.

Skills

Attention to detail

Analytical skills

Communication

Influencing stakeholders

Teamwork

Education

BS or MS or PhD in Applied Mathematics, Statistics, Economics, Computer Science or other quantitative disciplines

Tools

Excel

SQL

Job description

US Tech Solutions is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website www.ustechsolutions.com.

We are constantly on the lookout for professionals to fulfill the staffing needs of our clients, sets the correct expectation and thus becomes an accelerator in the mutual growth of the individual and the organization as well.

Keeping the same intent in mind, we would like you to consider the job opening with US Tech Solutions that fits your expertise and skillset.

Job Description

Key Responsibilities

• Track and report on the metrics and trends we rely upon to run our business.
• Answer ad hoc questions that help inform our product design decisions.
• Use data to identify opportunities and then use spoken and written words to influence stakeholders and tech teams to respond to them.
• Architect the right data ecosystem to efficiently supply the answers we need.
• Define product requirements, success metrics, and A/B testing schemes that accelerate our pace of innovation.
• Audit launched products and recommend iterative steps based on measurable results.
• Uphold the highest standards of data collection, reporting, and analysis across our team through all phases of software development.

Qualifications

• The successful candidate will demonstrate:
  • A track record delivering impactful results in a consumer oriented industry.
  • High attention to detail and precision in all forms of communication.
  • Proven ability to influence everyone from executives to teammates.
  • A composed, poised and professional demeanor.
  • A history of teamwork and willingness to roll up one’s sleeves to get the job done.
  • Strong analytical and quantitative skills (including the ability to effectively use tools such as Excel and SQL on large data sets) and an ability to use hard data and metrics to back up assumptions and develop project business cases.
• Basic Qualifications
  • BS or MS or PHD in Applied Mathematics, Statistics, Economics, Computer Science or other quantitative disciplines.
  • Experience working with large data sets.
  • Excellent SQL query skills.
  • Strong problem solving skills, and an ability to apply them in the context of a fast-paced business environment.
  • Good written and oral communication skills to translate complex models and analysis results into layman terms.
  • Capable and motivated to collaboratively work with a diverse and innovative team of engineers, analysts, operations personnel and business management to deliver results.
  • Familiarity with statistical methodologies.
• Preferred Qualifications
  • Previous product or program management experience.
  • Thrives in agile environments.
  • Comfortable working in a Unix/Linux environment.
  • Experience with web analytics.
  • Experience in experimental design.
  • Preference for consumer/ecommerce domains.
  • Personal interest in fashion.
  • Can't live without their mobile devices.