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. Funnel.io, 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

Practicals

• 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

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

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