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Über
Overview Ericsson Business Enterprise Wireless Solutions (BEWS) is the division behind Cradlepoint, the global leader in cloud‑delivered LTE and 5G wireless network edge solutions for enterprises. BEWS serves customers across industries including retail, transportation, government, and healthcare, delivering the connectivity infrastructure that keeps businesses running.
Within BEWS, the Finance AI & Analytics team is a newly formed, high‑impact group driving AI transformation across the finance organization. We build the data infrastructure, AI agents, and analytics capabilities that power financial decision‑making at Ericsson, including Crystal, our internal Finance AI Agent built on Snowflake Intelligence.
What You Will Do
Design, build, and maintain ELT pipelines that move data from finance source systems into Snowflake.
Develop and own dbt models that transform raw data into clean, reliable, business‑ready datasets.
Integrate new finance data sources.
Ensure data quality, reliability, and governance across the finance data layer.
Support and expand Crystal, our Finance AI Agent, by building the data foundation it depends on.
Collaborate with the Analytics Engineer to align on data modeling standards and best practices.
Identify data pipeline gaps and proactively resolve them.
Contribute to the team’s data infrastructure roadmap and technical decision‑making.
The Skills You Bring Required skills:
Advanced SQL and Python – comfortable writing complex queries and scripts from scratch.
Hands‑on experience building and owning ELT/ETL pipelines end‑to‑end.
dbt (data build tool) for data transformation and modeling.
Fivetran or equivalent ELT platform.
Snowflake or a comparable cloud data warehouse.
Proven ability to work autonomously with minimal technical oversight.
Self‑starter mentality – identify problems and solve them without waiting to be asked.
Preferred Skills
Finance domain knowledge – FP&A, billing, revenue, or OPEX data.
Experience supporting AI or ML data pipelines.
VBA coding experience.
Claude code or equivalent AI coding tools.
Building ML models.
Background on a small data team where you wore multiple hats.
Familiarity with Salesforce data structures and data quality challenges.
What We Offer
Ground floor of a high‑visibility AI and finance transformation initiative.
Direct exposure to the CFO and senior finance leadership.
Small team with outsized ownership – your work is seen and felt immediately.
Modern data stack with room to help shape it.
Clear growth path into Staff Data Engineering, Data Architecture, or AI/ML Engineering.
Ericsson is proud to be an Equal Opportunity employer.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.
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Sprachkenntnisse
- English
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