Senior Data Analyst

OneMagnify
Dearborn, MI Full Time
POSTED ON 10/10/2024 CLOSED ON 11/9/2024

What are the responsibilities and job description for the Senior Data Analyst position at OneMagnify?

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.

About You:

The Senior Data Analyst uses their technical expertise to provide data and analytics support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering, and assembly of data products for downstream applications.

What you’ll do:

Research and apply quantitative techniques from fields such as statistics, econometrics, optimization, and machine / deep learning toward the solution of important business problems from many areas of the automotive and mobility industry:

  • Enable evidence-based decision-making by extracting insights from structured and unstructured data sets that are often large and high-dimensional
  • Collaborate with SEO Management workstreams to identify data needs and draw insights from findings
  • Build data models that allow the business teams to see the information and make decisions about the actions required
  • Identify new and novel data sources and explore their potential use in developing actionable business insights
  • Help maintain and improve existing models


What you’ll need:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Physics, Mathematics or Engineering degree or a related field of study
  • 2 years experience in a data analytics role including running queries, compiling data, and manipulating data from separate sources to form unified sets for analysis
  • 2 years experience in predictive analytics including machine learning and experience writing algorithms in Python, Scala, or similar languages.
  • 2 years experience in at least one of the following languages: Python, PySpark, SQL, or similar languages
  • MS or PhD in Computer Science, Electrical Engineering, or a related field preferred
  • 3 years of experience with Python, SQL, or Google Cloud Platform
  • 3 years of experience with Machine Learning methods and tools, including but not limited to regression, classification, and clustering
  • 1 year of experience with implementing time-series analysis, reinforcement learning, and deep learning techniques
  • 1 year of work experience (in an industry setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
  • Proven record in the application of Machine Learning to real-world industrial settings with large-scale data
  • Proficient with version control systems such as Git, as well as agile software development and DevOps tools
  • Excellent programming skills, particularly interface development to generate data visualizations and extract insights from large sophisticated data sets preferred
  • Strong interpersonal and leadership skills, with confirmed abilities to communicate complex topics to leaders and peers in a simple, clear, plan-oriented manner
  • Comfortable working in a fast-paced and innovative environment
  • Well-organized, a self-starter, independent, and ready to work with minimal direction
  • Ability to work in an environment where problems are not always well-define


Benefits

We offer a comprehensive benefits package including medical, dental, 401(k), paid holidays, vacations, and more.

About Us

Whether it’s awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.
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