Data Analyst (B2B sales) ML&Analytics

Формат/локация: Remote, Worldwide 🌎 relocation to Cyprus ✈️

Компания: Muse Group ​

Зп: 6000–7000 евро gross в месяц

Muse Group empowers music makers. We create the world’s most popular apps for playing,

recording, and composing music. Through our innovative learning tools, expansive music catalogs, and free open-source

software, we make it easier for millions — from beginners to experienced musicians — to be

creative every day. Our talented team of music lovers collaborates all over the globe, from Limassol to Seoul,

Boston to Berlin. We’re an ambitious company with the drive and culture of a startup — with

many more exciting Muse Group developments to come.

We are seeking a Data Analyst to build and optimize the analytics infrastructure for our B2B

channel, driving data-driven decision-making and enhancing overall performance. In this role,

you will be responsible for automating PnL and forecasting models, analyzing revenue and

expenses, and designing key metrics to monitor the health of the B2B sales.

💻 Key Responsibilities:

• Build and automate PnL and forecasting models for the B2B channel.

• Analyze revenues and expenses, identifying key insights for strategic decisionmaking.

• Monitor and analyze trends in traffic and sales, identifying areas of improvement.

• Investigate anomalies, conduct root cause analysis, and implement data-driven

solutions.

• Design and maintain essential metrics to evaluate the health and efficiency of the

B2B channel.

• Build and integrate end-to-end analytics solutions with key business tools, including

CRM platforms.

• Develop metrics frameworks and a metrics tree to monitor the overall performance

and "health" of the B2B sales.

• Partner with stakeholders to deliver insights and recommendations that drive business results.

✔️ Required Experience:

• Experience in B2B sales analytics, with a strong understanding of metrics

frameworks for efficient business direction analytics.

• Proficiency in SQL (any dialect), with familiarity with Clickhouse being a plus.

• Hands-on experience with Python/R, including statistical, data engineering, and

visualization libraries (or proficiency in other programming languages).

• Strong mathematical foundation, including probability theory and statistics, with

practical experience conducting A/B testing and hypothesis validation.

• Proficiency in BI tools and ETL processes (e.g., Airflow).

• Proven ability to build and automate PnL and create end-to-end forecasting

solutions.

• Analytical mindset with a track record of identifying anomalies, determining root

causes, and implementing corrective actions.