Data Analytics Project Manager

Match Point SolutionsPlano, TX
Remote

About The Position

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Requirements

  • Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science, or related field OR equivalent work experience
  • 7-8 years of experience in data wrangling, profiling, testing tools.
  • 7-8 years of experience in some of these technologies: Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME
  • 5-6 years of experience in Cloud platforms: AWS and/or Azure
  • Proficient in complex SQL and Excel
  • 7-8 years of experience in researching new data sources and build insightful dashboards.
  • Understanding of data security, privacy, and cloud-based storage
  • Strong communication and presentation skills, able to translate technical data into business insights
  • Curiosity, adaptability, and eagerness to learn in a collaborative environment

Nice To Haves

  • Experience in Data Democratization project
  • Data Analysis/Analytics certifications.
  • Experience in the automotive industry.
  • AWS or Azure Data certifications.
  • Exposure to Python or R

Responsibilities

  • Data wrangling, profiling, testing tools
  • Utilizing technologies such as Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME
  • Working with Cloud platforms: AWS and/or Azure
  • Complex SQL and Excel
  • Researching new data sources and building insightful dashboards
  • Ensuring understanding of data security, privacy, and cloud-based storage
  • Translating technical data into business insights
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