Data Analyst - USA
Chicago, United States
SDG Group
Unlock your organization's potential with tailored Data, Analytics & AI solutions. Partner with us for insights and industry-leading expertise.SDG Group is a rapidly growing global management consulting firm that specializes in Data Analytics. We have practices across Business Analytics, Data Management, Advanced and Predictive Analytics, and Business Insights. We partner with leading technology companies and collaborate with SDG offices globally to drive innovative solutions that enable some of the world’s largest companies to improve decision-making processes and performance based on data.
Who we are looking for:
If you have 0-2 years of experience utilizing data analytics solutions and would like to take your career to the next level within a rapidly growing and dynamic organization, join the SDG family! SDG is a company full of opportunities and committed to the success of our customers and the development of our employees.
We are looking for smart, hardworking candidates who excel in fast-paced, results-oriented environments. We look for candidates that take initiative and have a strong sense of responsibility. The candidate must be able to work within a team, communicate openly and honestly, and be comfortable building relationships with internal team members and our clients.
Responsibilities:
In collaboration with the other members of your team and your supervisor you will be in charge or participate in the following activities:
- Business requirements mapping to functional and technical design
- Data structure analysis and data model design
- Development of data transformation processes
- Implementation of metrics and visualizations
- Front-end and user interface development
- Working with team members by converting business requirements to achieve functional and technical design
Qualifications:
- Relevant Bachelor’s Degree (Data Science, Analytics, Computer Science, Engineering, Mathematics, Physics, Business Technology, STEM, etc.)
- Strong passion for data and technology with the aspiration to work in management consulting
- Demonstrated experience using SQL, Python or related languages
- Knowledge of BI technologies, data modeling, data management
- 0 to 2 years of work/internship/academic experience in data analysis, data technology, business intelligence, analytics
- Experience working with modern Business Intelligence, Analytics, or Data Management technologies
- Outstanding oral and written communication skills
- Ability and willingness to digest technical business information and present that with sensitivity to business stakeholders
- Ability to build strong relationship with internal team members and client team
- Team Environment Orientation
- Productivity and autonomy, eager to accept challenges
Desired:
- Experience working in the Pharmaceuticals, Manufacturing, Consumer Products, or Retail industry
- Possesses qualities such as entrepreneurial, ambition, proactive, detail-oriented, collaborative
- Experience with SQL, Qlik Sense, or Tableau
What do we offer?
- Full-time employment in an exciting and growing high-tech industry with a competitive salary
- A professional career with opportunities for personal and professional growth and rapid career advancement based on meritocracy
- A creative and innovative work environment with Smart working options (flexible working hours, good mix of on-site and remote)
- Robust Healthcare and Benefits package including Medical, Dental, Vision, Disability coverage, and various other benefit options
- 401k Retirement plan with Employer match
- 3+ weeks paid vacation and flexible holiday schedule
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Analytics Business Intelligence Computer Science Consulting Consulting firm Data analysis Data Analytics Data management Engineering Excel Mathematics Model design Pharma Physics Python Qlik SQL STEM Tableau
Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Startup environment Team events
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