We are currently seeking an Data Business Analyst in Ultimate Guitar Monetization Team to play a pivotal role in supporting our team in running a large number of experiments. This role involves contributing ideas, conducting research, process and data modeling, pre-evaluating ideas, detailing logic, validating results, and guiding the team towards next steps.
KEY RESPONSIBILITIES:
As a Data Analyst, you will:
- Perform comprehensive data analysis and develop insightful dashboards summarizing data related to https://www.ultimate-guitar.com, Ultimate Guitar Apps, and their monetization.
- Develop tools and analyses to aid decision-making regarding product initiative prioritization.
- Construct batch and real-time data pipelines using data processing frameworks, demonstrating competency with existing data pipelines.
- Deliver scalable, testable, maintainable, and high-quality code.
- Drive optimization, testing, and tooling initiatives to enhance data quality.
- Engage in regular synchronization meetings with the existing analytics team.
As a Business Analyst, you will:
- Collaborate with the backlog, prioritizing hypotheses based on predicted impact.
- Actively participate in project work by helping to formulate hypotheses and detailing logic and events to provide insights and new knowledge.
- Work closely with team members to implement and launch experiments successfully.
- Foster collaboration with engineers, product managers, and partners to address user-centric data problems effectively.
- Share knowledge and promote standard methodologies, fostering team improvement through mentorship and constructive accountability.
REQUIRED EXPERIENCE:
- Minimum 4 years of experience as a Data/Product Analyst.
- At least 1 year of experience as a Business Analyst / Product Manager / Project Manager.
- Proficiency in SQL (any dialect), with familiarity with Clickhouse being advantageous.
- Proficiency in Python/R, including basic statistical, data engineering, and visualization libraries (or experience with other programming languages).
- Strong grasp of math, probability theory, and mathematical statistics, including practical experience conducting A/B tests and hypothesis testing.
- Experience with BI tools and ETL tools (e.g., Airflow, Astromer).
- Exceptional analytical skills, with the ability to synthesize information across a broad ecosystem to diagnose problems and devise solutions.
- Excellent communication skills, capable of collaborating and maintaining relationships with both business and technical teams.
- Product-oriented mindset with strong task-setting, planning, hypothesis generation, and project management abilities.
- Fluent in written and spoken English (B2 level or higher).
- Understanding of music notation and production processes is a plus.
