Remote is hiring a

Senior Analytics Engineer I

Job Overview

  • Posted 1 month ago
  • Full Time
  • Emea, Morowali Regency, Central Sulawesi, Indonesia
  • 42000

Roles & Responsibilities

What this job can offer you
A chance to work on creating data models that guide incredibly important commercial initiatives
Opportunity to work on extremely cross-functional initiatives (incl. Sales, Marketing, Finance, Data Engineering & of course Analytics) to broaden big picture knowledge
A chance to set standards for high quality analytics engineering practices within the Revenue Analytics team
Vast autonomy around your schedule, influence on tooling and the crafting of technical solutions

What you bring
4+ years of experience in data/analytics/software engineering (Data Analysts or Scientists with demonstrated analytics engineering skills also welcome)
Top-Tier written & oral communication skills with the ability to adapt and explain complex technical topics for less technical audiences
Experience with SQL, ETL, data modelling, and at least one programming/scripting language (e.g. Python, C++, C#, Scala, etc.)
Proficient understanding of software engineering practices, including version control, CI/CD, testing and documentation
Working knowledge of dbt as well as a data pipeline orchestration tool
A pragmatic mindset with a focus on delivering practical solutions and rolling up the sleeves to make an impact, and a desire to collaborate with Data Engineers, Analysts & Business Users
Writes and speaks fluent English

Nice To Have:
Startup/Scaleup Experience, AWS Knowledge, Comfort with distributed & remote teams, EMEA Location, SalesForce Data Experience, Hands-On familiarity with a BI Tool such as Tableau/Looker
It’s not required to have experience working remotely, but considered a plus

Job Responsibilities
Design, build, and maintain databases and automated data processes, leveraging Python libraries, Scripting and SQL, with a focus on clarity, consistency, and accuracy of data across various platforms and systems
Merging, Cleaning & Aggregating data from different tools & platforms (e.g., SalesForce, HubSpot, Ad Platforms such as Meta) to create an end-to-end unified picture of Sales, Marketing & Revenue Analytics
Building & Maintaining internal tooling and data aggregations for effective reporting & visualizing of KPIs in dashboards, particularly around time-series metrics
Liaising productively with Data Analysts and business teams to ensure that data products & solutions built are not only technically sound but highly effective and widely useful
Bring polished data to Data Analysts and eventually to decision-makers, building pipelines, automations, aggregations and transformations that enable useful insights into Sales, Marketing & Revenue Performance
Collaborate closely with our data engineering and analytics teams to ensure data reliability, scalability, and accuracy

You’ll report to: Director Of Revenue Analytics
Direct reports: None
Team: Go-To-Market
Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify;
Start date: As soon as possible

Remote Compensation Philosophy
Remote’s Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide – here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $42,750 USD to $96,200 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process
Roughly 6 hours across 6 weeks

Interview with recruiter
Interview with future manager
Technical interview with a data/analytics engineer (and maybe manager)
Interview with team members (no managers present)
Prior employment verification check



Our full benefits & perks are explained in our handbook at As a global company, each country works differently, but some benefits/perks are for all Remoters:work from anywhere
unlimited personal time off (minimum 4 weeks)
quarterly company-wide day off for self care
flexible working hours (we are async)
16 weeks paid parental leave
mental health support services
stock options
learning budget
home office budget & IT equipment
budget for local in-person social events or co-working spaces

How you’ll plan your day (and life)
We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at

You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

If that sounds like something you want, apply now!

How to apply
Please fill out the form below and upload your CV with a PDF format.
We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote.
If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.
We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below. As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable. We thank you for providing this data, if you chose to.

Skills Required

  • Machine Learning
  • Python

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