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Company: Radiant
Location: Plano, TX
Career Level: Associate
Industries: Not specified

Description

At [Radiant], we're proud to stand at the forefront of the Big Data revolution. Using the latest analytics tools and processes, we're able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we're searching for an experienced data analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth.

Responsibilities

    Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
    Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
    Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
    Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
    Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets
  Objectives of this role

  • Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
  • Identify trends and opportunities for growth through analysis of complex datasets
  • Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
  • Create best-practice reports based on data mining, analysis, and visualization
  • Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
  • Work directly with managers and users to gather requirements, provide status updates, and build relationships


Required skills and qualifications

    Three or more years of experience mining data as a data analyst
    Proven analytics skills, including mining, evaluation, and visualization
    Technical writing experience in relevant areas, including queries, reports, and presentations
    Strong SQL or Excel skills, with aptitude for learning other analytics tools

About Radiant: Founded in 1995, Radiant Systems, Inc. is a global provider of technology to the hospitality and retail industries. Radiant's point of sale hardware and software solutions was created for the consumer experience in restaurants, retail stores, stadiums, parks, arenas, cinemas, convenience stores, fuel centers and other customer-service venues. Radiant has offices in North America, Europe, Asia and Australia..

We work through various selection modules and recruit only the best minds for organizations that associate with us. We believe in creating a network that can help companies find the smartest minds and enable them to reach their highest potential. Our services include a streamlined approach to find the perfect staff and create a community of like-minded people in an office space.

We are Radiant, a Global Consulting Company that came to light in 1995. We are humbled to claim that our services are being availed by 50 of the Top Fortune 500 Global Corporations. At present, we are running our radar proactively with 1300+ employees and serving for over 2 decades now. We have 10 offices in the USA and a presence in Canada, UK, Netherlands, Switzerland, and India.

[Radiant] benefits include [health, dental, life].

Employees can also take advantage of [AD&D insurance, employee wellness and 401k plans].


 Apply on company website