Data Analyst -- Entry Level

$61,200 - $100,900/Yr

CGI - Dallas, TX

posted 2 months ago

Full-time - Entry Level
Hybrid - Dallas, TX
10,001+ employees
Professional, Scientific, and Technical Services

About the position

Launch a world-class career with CGI as a Data Analyst, where you will be at the forefront of transforming complex data into actionable insights. In a rapidly evolving landscape, businesses are increasingly adopting business intelligence tools to derive meaningful information from their data. As a Data Analyst, you will play a crucial role in this transformation, leveraging artificial intelligence alongside business intelligence tools to uncover deeper insights efficiently. This position is ideal for individuals who are passionate about utilizing data to drive business value and make informed decisions. You will join a collaborative team environment in Dallas, TX, working in a hybrid model that allows for flexibility. Your responsibilities will include becoming a subject matter expert on various Business Intelligence tools such as Tableau, Microsoft Power BI, ArcGIS, Looker, and MicroStrategy. You will learn about different technology stacks and their connections to BI tools, design and build scalable data pipelines and models using Python or SQL, and prepare data for various analytics use cases, including business intelligence and machine learning. In this role, you will develop and test dashboards, reports, and visualizations that address business questions, collaborate with clients and colleagues across projects, and continuously upskill on new technologies and tools. You will also have the opportunity to participate in business development and proposals on an ad hoc basis, making a significant impact on the projects you work on.

Responsibilities

  • Become a subject matter expert on Business Intelligence tools (such as Tableau, Microsoft Power BI, ArcGIS, Looker and MicroStrategy)
  • Learn about various technology stacks and how they connect to and impact BI tools
  • Design and build scalable data pipelines and models using Python or SQL
  • Prepare data for various data and analytics use cases, including business intelligence and machine learning
  • Develop and test dashboards, reports, and visualizations that answer business questions
  • Collaborate with clients, colleagues, and other stakeholders across projects and work assignments
  • Upskill on new technologies and tools by earning certifications
  • Educate and learn from other team members about various technologies and industries
  • Participate in business development and proposals on an ad hoc basis

Requirements

  • Bachelor's degree in a relevant field that focuses on Management Information Systems, Data Science, Computer Science, Information Technology, Information Systems, or related field
  • Understanding of emerging technologies and the role they play in transforming businesses for the digital era
  • Knowledge of data warehouse concepts, business intelligence tools, cloud computing, and artificial intelligence/machine learning
  • Thorough understanding of database concepts and relational database design
  • Experience with SQL and Python
  • Passion for continuously learning new technologies and developing own knowledge and expertise
  • Experience working in a fast-paced team environment
  • Data-driven approach towards solving complex problems
  • Strong written and verbal communication and presentation skills
  • Ability to explain technical problems or concepts to non-technical users

Benefits

  • Competitive base salary
  • Comprehensive insurance options
  • 401(k) with company match
  • Share purchase plan with a company match
  • Paid vacation, holidays, and sick leave
  • Up to 14 weeks of Maternity Leave with full pay
  • 4-week Parental Leave for all non-birth parents
  • Attorney-assisted will preparation
  • Health savings account
  • Disability, life, and accidental death insurance
  • Pet insurance
  • Work-life balance and flexibility
  • Tuition assistance continuous learning opportunities
  • Training, mentoring, and career development
  • Member assistance program
  • Wellness program
  • Member resource groups that provide community
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