Analytics

job summary:

Responsibilities:

Work closely with business partners to develop data-driven insights and recommendations to improve the client experience.

Develop and maintain dashboards and reports to track and monitor key performance indicators.

Collaborate with cross-functional teams to develop and implement solutions to improve the client experience.

Use statistical techniques to analyze large and complex datasets.

Analyze customer data to uncover trends and patterns that impact the client experience.

Collaborate with cross-functional teams to design and execute experiments that test hypotheses and measure the impact of new initiatives on customer experience and business performance.

Communicate insights and recommendations to stakeholders across the organization, including senior management, to inform decision-making.

Stay current with industry trends and emerging technologies related to data analytics, customer experience, and financial services.

Qualifications:

Undergraduate degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics, or related quantitative field of study or equivalent combination of training and experience.

5 years of relevant work experience

Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.

Demonstrated track record of building robust relationships across technical and non-technical crew.

robust command of advanced data analysis tools and software (Python, Tableau preferred), and querying languages (SQL)

Experience working within a cloud-based, big data environment (AWS preferred)

Highest standards of accuracy and precision; highly organized

Preferred Qualifications:

A graduate level degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics, or related quantitative field of study

Experience with advanced statistical and machine-learning methods such as: regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis, etc.

location: Malvern, Pennsylvania

job type: Contract

salary: $51 - 56 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

• Core Responsibilities:
• Work closely with business partners to develop data-driven insights and recommendations to improve the client experience.
• Develop and maintain dashboards and reports to track and monitor key performance indicators.
• Collaborate with cross-functional teams to develop and implement solutions to improve the client experience.
• Use statistical techniques to analyze large and complex datasets.
• Analyze customer data to uncover trends and patterns that impact the client experience.
• Collaborate with cross-functional teams to design and execute experiments that test hypotheses and measure the impact of new initiatives on customer experience and business performance.
• Communicate insights and recommendations to stakeholders across the organization, including senior management, to inform decision-making.
• Stay current with industry trends and emerging technologies related to data analytics, customer experience, and financial services.
• 
  
• Qualifications:
• Undergraduate degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics, or related quantitative field of study or equivalent combination of training and experience.
• 5 years of relevant work experience
• Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.
• Demonstrated track record of building robust relationships across technical and non-technical crew.
• Robust command of advanced data analysis tools and software (Python, Tableau preferred), and querying languages (SQL)
• Experience working within a cloud-based, big data environment (AWS preferred)
• Highest standards of accuracy and precision; highly organized
• 
  
• Preferred Qualifications:
• A graduate level degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics, or related quantitative field of study
• Experience with advanced statistical and machine-learning methods such as: regression models, propensity models, segmentation, optimization, experimental test design, time series analysis, cohort analysis, Bayesian methods, decision trees, text analysis, etc.

qualifications:

Qualifications:

Undergraduate degree in an analytic/quantitative field such as: Data Science, Business Analytics, Applied Mathematics, Statistics, Economics, or related quantitative field of study or equivalent combination of training and experience.

5 years of relevant work experience

Extraordinary analytical skills, coupled with the ability to form hypotheses and draw meaningful insights from disparate data sources. The ability to understand data, process it, extract value from it, visualize it and communicate insights to audiences of various backgrounds, including senior management.

Demonstrated track record of building robust relationships across technical and non-technical crew.

robust command of advanced data analysis tools and software (Python, Tableau preferred), and querying languages (SQL)

Experience working within a cloud-based, big data environment (AWS preferred)

Highest standards of accuracy and precision; highly organized

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

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.