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Fractional & Commercial Analytics Lead

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Krotos
Part Time position
Listed on 2026-09-17
Job specializations:
  • Business
    Data Analyst
Job Description & How to Apply Below
Position: Fractional Growth & Commercial Analytics Lead

Location: Remote Europe, ideally UK / Greece

Job Type: Freelance agreement: 2 days per week initially, reducing to approximately 1 day per week once the core analytics system is established.

Reports to: CEO

About Krotos

Krotos builds creative audio software used by sound designers, filmmakers, video editors and content creators worldwide.

Our products have been used on major productions including Game of Thrones , Avengers and The Lord of the Rings . We are now building the next generation of AI-powered sound creation tools while growing our subscription and enterprise businesses.

We have plenty of data. Our challenge is turning it into clear, reliable commercial decisions.

That is where you come in.

Your Mission

Give Krotos one reliable commercial truth, explain why the numbers move, and identify where we should focus to grow recurring revenue.

This is not primarily a dashboard or reporting role.

We want someone who can answer questions such as:

  • Why did MRR increase or decrease?
  • What is actually driving churn?
  • Which acquisition channels create customers who activate and retain?
  • Which product behaviours predict long-term retention?
  • Where is the biggest constraint in our growth funnel?
  • Is an experiment actually working?
  • What should we stop, scale or investigate next?
The Kind of Problems You'll Solve

You might discover that three systems report different MRR numbers.

We expect you to investigate the underlying data, determine why they disagree and establish which number the company should trust.

You might find that a paid acquisition channel looks efficient at signup but produces customers with poor activation or retention.

We expect you to identify that before we scale it.

You might find that users who perform a particular action during their first week retain significantly better.

We expect you to quantify the opportunity and recommend what Product or Growth should do about it.

The output we value is:

Insight → recommendation → action

not simply analysis.

Your First 45 Days
1. Establish One Commercial Truth

Audit our key commercial data sources, including:

  • Chart Mogul
  • Chargebee
  • Big Query / our data warehouse
  • Mixpanel
  • website analytics
  • advertising platforms
  • Xero
  • enterprise sales data

Define the authoritative source and metric definition for each key company number.

Resolve important discrepancies or clearly explain why they exist.

2. Build a Simple Commercial Scoreboard

Create a trusted view of the growth journey:

Acquisition → Activation → Retention → Revenue

Covering the handful of metrics leadership actually needs to run the company.

The goal is not another large dashboard.

The goal is that leadership can quickly understand:

Are we growing? Why? What is stopping us growing faster?

3. Identify the Biggest Opportunities

Identify and prioritise the 3–5 most important commercial opportunities or problems you find.

For each one tell us:

  • What is happening?
  • Why do you believe it is happening?
  • What is the commercial impact?
  • How confident are you?
  • What should we do next?
Ongoing Responsibilities

You will:

  • analyse acquisition, activation, retention, expansion and revenue
  • connect product behaviour to commercial outcomes
  • analyse cohorts and customer segments
  • evaluate channel performance based on customer quality, not vanity metrics
  • help Product and Growth design measurable experiments
  • validate whether experiments actually worked
  • identify instrumentation and tracking gaps
  • work with Engineering when data pipelines need fixing
  • translate complex analysis into simple commercial recommendations

not a reporting service
.

We expect you to proactively identify things leadership has missed.

Technical Expectations

Strong SQL is mandatory.

You should be comfortable independently querying and validating raw data rather than relying entirely on dashboards.

You do not need to…

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