Senior Analyst

OneMagnify•Dearborn, MI

About The Position

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company’s core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion. OneMagnify’s commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India. In this role, you will work to provide data driven insight that will drive better and faster decision making with respect to Customer Experience initiatives. You will create, manage, and implement data visualizations and AI/ML end to end solutions that will have wide-ranging influence, including customer experience and digital platform development. You will creatively use a broad range of statistical techniques and advanced analytical tools in a continual learning environment. While your focus will be on providing analysis and data visualization, you will also perform some data engineering tasks.

Requirements

Bachelor's Degree in a quantitative field such as Statistics, Biostatistics, Mathematics, Computer Science, Econometrics, Physics, Industrial Engineering, Data Science.
Experience with data visualization tools (e.g. Power BI)
Experience in at least two of the following languages/tools: Google Cloud Platform (GCP), Non-GCP Cloud Experience, Python, SAS, and/or SQL
Experience and robust knowledge of AI/ML and statistical methods
Exploratory data analysis, feature engineering, and training machine learning models.
Interest in learning new technologies

Nice To Haves

Master's or PhD
Experience with Power BI to create dashboards.
Experience with GCP services such as BigQuery, Cloud Storage, Cloud Functions, and AI Platform, Vertex AI
Strong Python, SAS, SQL skills
Experience with using AI/ML and/or statistics in an applied/industry environment
Experience extracting, transforming, and loading (ETL) data, setting up databases, and creating data pipelines.
Experience with manipulating large scale data
Strong oral and written communication skills
Ability to translate complex quantitative methods into business insights and present to a non-technical audience
Ability to prioritize efforts, work independently, and progress multiple initiatives concurrently

Responsibilities

Create business-critical data visualizations and compelling stories and presentations from data.
Leverage a wide range of statistical techniques (e.g. regression, clustering, segmentation, experimental design, data mining, etc.) and tools (e.g., Google Cloud Platform (GCP), Python, SAS, etc).
Create, validate, deploy, and monitor performance of AI/ML and statistical models based on large datasets.
Ensure overall quality of the data and solutions throughout the analytical development process.
Collaborate with cross-functional teams and develop a strong understanding of Ford Credit business to provide the best analytical solutions.