Data Analytics

Codetech • Malvern, PA

1d

About The Position

The role works closely with business partners and cross-functional teams to generate data-driven insights and recommendations that improve the client experience. It involves analyzing customer data and large, complex datasets, building and maintaining dashboards and reports to monitor key performance indicators, and designing and executing experiments to evaluate hypotheses and measure the effects of initiatives on customer experience and business performance. The role communicates findings and recommendations to stakeholders, including senior management, to support decision-making, and stays current with industry trends and emerging technologies in data analytics, customer experience, and financial services.

Requirements

• Undergraduate degree in an analytic or quantitative field, such as Data Science, Business Analytics, Applied Mathematics, Statistics, or Economics, or a related quantitative field of study; equivalent training and experience may also qualify.
• 5 years of relevant work experience.
• Extraordinary analytical skills, including the ability to form hypotheses and draw meaningful insights from disparate data sources.
• Ability to understand, process, extract value from, and visualize data, and communicate insights to audiences with varied backgrounds, including senior management.
• Demonstrated track record of building strong relationships across technical and non-technical teams.
• Strong command of advanced data analysis tools and software; Python and Tableau are preferred, and SQL querying language skills are required.
• Experience working in a cloud-based, big data environment; AWS is preferred.
• Highest standards of accuracy and precision, and strong organizational skills.
• Tableau.

Nice To Haves

• Graduate-level degree in an analytic or quantitative field, such as Data Science, Business Analytics, Applied Mathematics, Statistics, Economics, or a related quantitative field.
• 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, and text analysis.
• Python, Tableau, and AWS experience.

Responsibilities

• Work 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 that improve the client experience.
• Use statistical techniques to analyze large and complex datasets.
• Analyze customer data to uncover trends and patterns affecting the client experience.
• Collaborate with cross-functional teams to design and execute experiments that test hypotheses and measure the impact of 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior