This is a remote position.
Data BI Analyst (1 year experience, remote)
About us: Be part of our future! This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.
Hiring Type: Full-Time
Base Salary: $59K-$69K Per Annum.
Candidates must be authorized to work in the United States full-time. We are not able to sponsor applicants for work visas at this time.
Benefits:
- We offer health benefits and generous PTO packages.
- Our office is dog friendly, has unlimited snacks & drinks, flexible working hours (get out for the pow day!), and lots of rock climbing & skateboarding.
- We offer competitive healthcare benefits and a 401k program.
- we are committed to being a fun, groundbreaking, and inclusive place to work. We strongly encourage engineers from all community and traditionally underrepresented backgrounds to apply
Responsibilities:
- Analyze large datasets to identify trends, patterns, and insights.
- Develop and maintain data models, dashboards, and reports to support business decision-making.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Conduct ad-hoc analysis to answer specific business questions and provide actionable recommendations.
- Stay up-to-date with industry trends and best practices in data analysis and business intelligence.
Requirements:
- Bachelor's Degree required with an emphasis in business, economics, math, engineering, or analytics preferred. Advanced degree or certification preferred.
- 1+ years of experience, 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 analytical 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.
Skills:
- Good understanding of Agile framework (SCRUM).
- Familiarity with Salesforce is a plus.
- Comprehensive health, dental, and vision insurance plans.
- Retirement program with lifetime pension benefits.
