This is a remote position.
Data BI Analyst (Entry Level) - US Residents Only, 1 year experience, remote
Team Remotely Inc. is a staffing and recruitment agency that offers a comprehensive solution for talent acquisition, including sourcing, vetting, pay rolling, and managing talent. Our model can support your hiring strategy.
Hiring Type: Full-Time
Base Salary: $60K-$65K Per Annum.
How to Apply: Please visit teamremotely.com to learn more & apply.
Mandatory Skills Description
- Bachelor's Degree required with an emphasis in business, economics, math, engineering, or analytics preferred (or relevant work experience). Advanced degree or certification preferred.
- 1+ years, with at least 1 year of analytic experience.
- Proficiency in interacting with various database and file storage systems (Examples: Oracle, Hadoop, NoSQL). Understanding of join types.
- Experience with data manipulation languages, such as SQL, required.
- Knowledge of statistical concepts and analytic techniques, including descriptive statistics, forecasting, economic modeling, exploratory analysis, and variance analysis required.
- Ability to perform univariate analytic techniques.
- Experience using Microsoft Excel, including the use of pivot tables, formulas, macros, VBA, charts/graphs.
- Experience with visualization tools such as Tableau, PowerBi, or QlikView.
- Strong analytical, critical, and systems thinking required.
Nice-to-Have Skills
- Good understanding of Agile framework (SCRUM).
- Familiarity with Salesforce is a plus.
Why work with Team Remotely?
Team Remotely Inc. is a staffing platform offering a seamless experience for employers and candidates. Employers can post job openings and specify their requirements, while candidates can create profiles and upload resumes.
The team continuously learns and adapts based on previous successful placements, improving its matching capabilities. This ensures that the recommendations provided are tailored and accurate, increasing the likelihood of a successful match between employers and candidates. By providing intelligent and data-driven solutions, they strive to enhance the efficiency and effectiveness of the hiring process.
#J-18808-Ljbffr