Data Analytics Engineer

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner with engineers on data architecture, investigate metric changes, and explore trends for opportunities. Additionally, you'll collaborate with stakeholders, foster data-driven decision-making, and promote scalable, self-service data solutions.

Responsibilities:

• Develop and

maintain data pipelines, tooling, and visualizations that make insights
widely available across the organization

• Identify,

compute, and validate the appropriate data sources and metrics to create
KPI reports

• Partner with

data engineers to design and implement a data architecture that bridges
across data sources, analytics, and operational reporting

• Partner with stakeholders

and engineering to conduct investigations into changes in business metrics

• Proactively

explore trends in different business KPIs to surface future opportunities
to enhance

• Cultivate strong

partnerships with cross-functional stakeholders

• Coach partners

to self-serve with existing tools, and evangelize for scaled approaches to
expand data access and insights across the organization

Requirements

• Master's degree

in Computer Science, Statistics, Mathematics, or related field

• 5+ years of

experience in data analytics, Business intelligence, data science, or
related fields

• Proficiency in

programming languages such as Python, R, or SQL

• Experience with

machine learning concepts and experience working with machine learning
libraries and frameworks (e.g. scikit-learn, TensorFlow)

• Experience

creating interactive dashboards with Tableau, Power BI, and others, with
proven communication and presentation skills to deliver actionable
insights

• Experience

managing time-sensitive projects through to completion while balancing
evolving priorities and a diverse range of stakeholders

• Experience