Strategic Data Analyst Consultant: Reporting & Visuals

North Highland

Greater London

On-site

GBP 70,000 - 95,000

Full time

8 days ago

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Job summary

North Highland seeks a Consultant - Data Analyst (Reporting & Visualisation) to join the Technology & Data Practice in the United Kingdom. The role focuses on reporting, data visualisation and data modelling, bridging modern data architectures and guiding stakeholders across the data lifecycle.

You will leverage Power BI as a core tool, work with Tableau/Looker, and partner with Data Engineers, Architects and Product Owners to deliver client-ready solutions and insights that support executive

Qualifications

Bachelor's degree in computer science, information systems or a relevant field.
3 years of work experience in a consulting or client-facing environment.
Have worked closely with Data Engineers, Architects and Product Owners to support end-to-end data solutions.
Created high-quality client deliverables and recommendations.
Has supported client adoption of reporting solutions through training and enablement.
Working exposure to at least one of AWS, GCP or AWS.
Strong SQL skills for data extraction, transformation and analysis.
Experience working with dimensional modelling concepts (e.g. Star Schema, Kimball principles).
Understanding of Data Warehousing, Lakehouse and Medallion architectures.

Responsibilities

Have expertise in Power BI given Microsoft stack preference across our client base.
Data modelling: build and maintain semantic models, work upstream (engineering) as well as downstream (dashboard & reports).
Experienced with Tableau, Looker and Fabric is a plus.
Comfortable engaging directly with clients to translate requirements into clear, action-driven outputs.
Have the ability to operate independently on reporting workstreams within a larger engagement.
Go beyond report production to identify trends, risks and opportunities within datasets.
Support executive-level decision-making through clear storytelling and visual communication.
Identify, analyse and resolve data quality issues affecting reporting outcomes.
Support implementation of data governance standards, metric definitions and data ownership models.
Contribute to data cataloguing, metadata and business glossary activities where required.