Business Analyst
The ideal candidate will play a role in the development of multiple parts of the business by analyzing past, current, and future business trends. This individual will establish strategies to achieve desired outcomes and implement these strategies. They will often work cross-functionally with internal business units in order to understand the challenges that these teams are face and provide solutions to these groups.
Department: Operations
Project Location(s): Remote
Education: Bachelor’s/Master’s Degree
Responsibilities
- Identify business challenges & opportunities for product/service improvements and solve them using analysis to make strategic or tactical recommendations
- Experience in data cleaning & wrangling, quantitative analysis, data mining, and the presentation of data to see beyond the numbers
- Partner with product, operation, and engineering teams to solve problems and identify trends and opportunities
- Inform, influence, support, and execute product decisions and product launches
- Forecast and set product team goals, designing and evaluating experiments
- Monitor key product metrics, and understand the root causes of changes in metrics
- Conceptualize dashboards/reports basis business requirements
- Build and analyze dashboards and reports, build key data sets to empower operational and exploratory analysis, and evaluate and define metrics
- Propose what to build in the next roadmap, understand ecosystems, user behaviors, and long-term trends
- Identify new levers to move key metrics and build models of user behaviors for analysis or to power production systems
- Influence product teams through the presentation of data-based recommendations
- Communicate the state of business, experiment results, etc., to product teams, and spread best practices to analytics and product teams
Skills/Experience
- Bachelor’s/Master’s Degree/MA in business, computer science, information technology, or a related field
- 3-8 years of experience working as a business analyst
- Ability to structure business requirements into a series of analyses and perform quantitative data analysis, write reports, and present findings
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
- Applied statistics or experimentation (i.e. A/B testing) in an industry setting
- Knowledge of business analysis techniques such as data analysis, gap analysis, process mapping, and requirements definition
- Communicate the results of analyses to product or leadership teams to influence the strategy
- Ability to work full-time (40 hours/week) concurrently with US time zones for a minimum of 4 hours/day
- Fluency in English to effortlessly collaborate with engineering managers at U.S. companies