Marsh

SupportDataEngineer

$0–0k Romania FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Support Data Engineer at Marsh. Skills: Data modeling, SQL, ETL processes, Root cause analysis. Support analytics solutions. Ensure product operational”

What You'll Achieve.

Drive forward analytics proposition; Provide competitive advantage

Industry & Context.

Problems you'll solve

Root cause analysis; Troubleshooting; Logical reasoning

What They're Looking For.

Must Have

Solid understanding and hands-on experience with data modeling concepts and techniques, Proven ability to write efficient queries and analyze data within relational databases, Demonstrated experience in performing root cause analysis and troubleshooting data pipeline issues, Practical experience with relational database management systems, foundational knowledge of ETL processes, Familiarity with basic data analytics methods, practices, and logical reasoning, written and verbal communication skills in English, ability to clearly document findings, communicate technical information, Comfortable collaborating and communicating effectively with non-technical business stakeholders

Nice to Have

Any experience working with Databricks or AWS, Skilled in troubleshooting and resolving production issues, Familiarity with DevOps methodologies and tools, Proven ability to work effectively within Agile teams, Basic scripting or programming skills for automation and debugging, Familiarity with monitoring and alerting tools for data pipelines, Experience with version control systems such as Git

What You'll Do.

Support analytics solutions

Ensure product operational

Act as Front Line support

Raise issues and bugs

Dive deeper into data

Find issues within pipeline

Support resolution of bugs

Complete release tasks

Document technical release notes

How You'll Work.

Team & Collaboration

Collaborate with enablement specialist; Work with development team; Collaborate with release manager; Collaborate with business stakeholders; Work effectively within Agile teams

Communication Scope

Written communication; Verbal communication; Communicate technical information; Communicate with non-technical stakeholders

Full Job Description

## Company: Marsh ## ## Description: The MMB Analytics team are key to driving forward the analytics proposition internally within the organisation and to Clients, operating as experts within the business in order to help the organisation provide a competitive advantage through analytics. Having grown in size and remit in recent years, the team are looking to continue this trend going forward and hence will be looking to you to embrace this challenge. We are looking for someone to support one of our existing analytics solutions. You will be involved in ensuring the product is operational and acting as part of our Front Line support group. **We will count on you to:** * Working with our enablement specialist to triage product bugs and identify the root cause of issues * Monitoring the daily jobs and data loads to the product to ensure they have worked * Checking the data output on the Front End of our products * Raising issues and bugs found in the product * Diving deeper into the data to find where issues exist within the pipeline or at source * Supporting on resolution of bugs alongside the development team * Completing release tasks assigned to you by the release manager * Updating configuration within the BE * Documenting technical release notes **What you need to have:** * Solid understanding and hands-on experience with data modeling concepts and techniques * Proven ability to write efficient queries and analyze data within relational databases (e.g., SQL) * Demonstrated experience in performing root cause analysis and troubleshooting data pipeline issues * Practical experience with relational database management systems and foundational knowledge of ETL processes, including their role in analytics and dashboarding environments * Familiarity with basic data analytics methods, practices, and logical reasoning to support data quality and integrity * Strong written and verbal communication skills in English, with the ability to clearly document findings and commun

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