quality insight AnalystMagic

Goals:
Help the team define outcomes based on data. This isn't a shot in the dark but will be based on analysis and quantitative research. They will help track progress against outcomes.
Example: Increase client retention by making it super fast for them to get to the right assistant. We will measure this by the time it takes to for clients to accept a new assistant.
Clarify input metrics. Many teams focus on outputs like churn or revenue. We will need help to figure out the inputs. What causes churn? What maximizes revenue? Analysts will help the product team understand the levers to move the outputs.
Example: The main drivers of client happiness are assistant attendance, consistent progress reports, and faster than expected results.
Help enable hypothesis-driven development. As we are a new product, we may rely on intuition, market standards, and other qualitative measures - but the analyst will help prove our product ideas based on data. The analyst should help us build the system to run and create experiments.
Example: If we enabled clients to see assistant utilization, they will optimize for better delegation.
Help conduct qualitative user research to better understand our data.
You will produce:
Data reports for specific product features, for a suite of products, and for tests
User research summaries, including insights from user interviews, user journey and pain points maps, and product maps
Presentations for the key team and company quarterly metrics
Ad hoc spreadsheets and reports for stakeholders
Analytic dashboards (e.g. Google Analytics, Hubspot) for the team to track progress
Requirements
Minimum Qualifications
Requirements:
2+ years of experience in a quantitative analysis role (e.g. finance, research)
Experience with working with databases and spreadsheets
Excellent communication skills: written and speaking
Biased towards action, results - constantly pushing for greater clarity and simplicity; self-motivated
Ability to identify root causes for changes in key metrics and be able to validate your hypothesis with data
Experience with speaking and asking questions from people, via phone, email, or video calls
Ability to learn fast, proven by tangible job roles
Bonus Experience
Experience with SQL and other analytical tools
Comfortable speaking in public and being in front of the camera for video calls
Experience in consulting, strategy, product operations management, data science, or research roles
Ability to coalesce data from a wide variety of sources
Knowledge of Magic Dedicated product
Experience synthesizing complex data ideas into a narrative for senior leadership
Experience influencing stakeholders with data
Experience with user research for startups or technology products
Benefits
Full-time work-from-home arrangement
Opportunities for career growth and internal mobility
Enjoy employee benefits upon regularization (HMO, VLs, SLs, etc.)
Government contributions (SSS, Pag-IBIG, Philhealth)
Magic

Philippines
Permanent
Full-time