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Analytics Engineer

Remote: 
Full Remote
Contract: 
Full time
Work from: 
Philippines

Offer summary

Key responsabilities:

  • Collaborate with team to collect business requirements, design data models
  • Provide clean data views, apply statistical models, optimize data pipelines
nXscale logo
nXscale Startup https://www.nXscale.com
11 - 50 Employees
About nXscale
Start Fast, Scale Smart: The nXscale AdvantageStartups are only as good as the people who work in them. nXscale firmly believes that the Philippines possesses a talent pool that’s big enough and more than capable to fill talent gaps in startups around the globe.Recruitment & talent experts work with you to determine the people you need to scale your business. Through personalized human resource planning, we match your role requirements with the right talent, skills, and culture aligned with your organization.Dedicated & managed teams are provided as an option so you can focus on the bigger things. Our business management specialists will work with you to identify areas within your organization that need to be augmented for peak performance. We provide flexible and scalable solutions tailored to your needs to give you more value for your money.Built for startups & scaleups, nXscale provides services and solutions designed for fast-moving and constantly evolving companies. We combine years of startup and outsourcing experience to help make your operations sustainable and scalable.
See more nXscale offers

Job description

nXscale provides flexible outsourcing solutions for startups and scaleups. We partner with global companies to help them build teams and scale operations.

Whether you're at home or on your way to work, you're probably reading this because you're looking for a new experience or a new challenge. Our client has assembled a group of seasoned superannuation and financial services professionals. Bringing together exceptional brains from Administration, Product, and Technology positions us to develop novel solutions to decades-old challenges.

What you will do:

● Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
● Provide clean and appropriate data sets/views for data and reporting requirements to be delivered
● Provide insights and workshop with Data Engineers the gaps of data in the data lake for data engineers to pipeline in
● Apply appropriate statistical calculations and models against data sets in GROW’s Data Lake
● Continuous improvement activities on performance optimisation of all data pipelines and data stores, applying engineering best practices to code ie Versioning, automated testing, CI/CD
● Provide input into the discovery and solution phase for Business/Client needs, assessing risk in exposing data and working inline with GROW’s risk framework
● Document changes, calculation methodologies and process of executing reports in GROW’s Wiki Appropriately
● Contribute to business cases the Head of Data Engineering will be putting forward to GROW’s Strategic Leadership Team
● Support the Product owner in communicating the delivery and handover of a report to the relevant internal/external stakeholders

Who you are:

● Data Engineering - owns the development and continuous improvement of our data platform capabilities including data pipelines, data lake & warehouse, ingestion and integration with reporting & operational systems
● Data Analytics - owns the delivery and improvement of our data analytics capabilities including data modeling and data analysis
● Data Architecture - partners with the architecture team to develop a cloud-first data architecture required to deliver the data platform
● Data Governance - owns the governance of our platform data, collaborating with Legal & Risk to ensure we appropriately catalog and manage our data
● Data Security - collaborates with Legal & Risk and DevOps to manage risk by building security into our software delivery practices
● Product Planning - collaborates with Product & Design on discovery to determine what will be delivered next
● People - collaborates with the People team on hiring & employee experience to build high performing data engineering teams
We are an equal opportunity recruiter and employer and value diversity most at nXscale. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The nXscale Referral Program is still open!
Give your friends the chance to work in a global startup. Refer friends here: https://nxscale.com/referral-program/#form

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Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Internal DocumentationStatistical AnalysisCI/CDRisk AnalysisBusiness Case AnalysisData LakesSoftware VersioningPerformance ImprovementData WarehousingData Modeling

Other Skills

  • Problem Solving
  • Communication
  • Collaboration
  • Detail Oriented
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