Full Stack Analytics

job summary: Heavy stakeholder management with Product teams.

Defining and understanding business metrics.

Providing transformation logic/requirements to the Data Engineering team.

Building end-to-end analytics solutions (from S3/Redshift to Tableau).

location: Malvern, Pennsylvania job type: Contract salary: $58.33 - 63.33 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Key Responsibilities

• Heavy stakeholder management with Product teams.
• Defining and understanding business metrics.
• Providing transformation logic/requirements to the Data Engineering team.
• Building end-to-end analytics solutions (from S3/Redshift to Tableau).

qualifications: Heavy stakeholder management with Product teams.

Defining and understanding business metrics.

Providing transformation logic/requirements to the Data Engineering team.

Building end-to-end analytics solutions (from S3/Redshift to Tableau).

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Any consideration of a background check would be an individualized assessment based on the applicant or employee's specific record and the duties and requirements of the specific job.

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Key Responsibilities

• Heavy stakeholder management with Product teams.
• Defining and understanding business metrics.
• Providing transformation logic/requirements to the Data Engineering team.
• Building end-to-end analytics solutions (from S3/Redshift to Tableau).

Heavy stakeholder management with Product teams. Defining and understanding business metrics. Providing transformation logic/requirements to the Data Engineering team. Building end-to-end analytics solutions (from S3/Redshift to Tableau).