Hybrid Data Analyst: Forecasting & Data Quality

Harnham - Data & Analytics Recruitment; Windsor; Hybrid; GBP 55,000 - 65,000; Full time

Benefits offered by this job

Hybrid work

Job summary

Harnham is seeking a hands-on Data Analyst to join a growing care provider in Windsor. You will work with complex datasets, cleanse and model data, and build analytical solutions that inform operational decisions.

The role offers a hybrid pattern (3 days in the office) and exposure to Snowflake, Power BI and predictive analytics as the data platform evolves. You’ll collaborate with a small analytics team, take ownership of projects, and contribute to forecasting occupancy and resource planning

Qualifications

• Hands-on data analyst with strong SQL and Python skills.
• Experience cleaning, reconciling and standardising data.
• Familiar with data modelling concepts like star schemas and dim modelling.

Responsibilities

• Data Quality & Remediation: clean, standardise and validate data from multiple sources.
• Data Modelling: develop robust models, star schemas for reporting.
• Identity Resolution: reconcile duplicates using fuzzy matching.
• Data Warehousing: support Snowflake data environment readiness.
• Reporting & BI: build Power BI dashboards for stakeholders.
• Forecasting & Predictive Analytics: contribute to occupancy and operations models.
• Advanced Analytics: support resident risk modelling and AI-driven data extraction.

Skills

SQL

Python

Data cleansing

Data modelling

Power BI

Snowflake/Databricks

Forecasting

STEM degree

Education

STEM degree

Job description

Harnham is seeking a hands-on Data Analyst to join a growing care provider in Windsor. You will work with complex datasets, cleanse and model data, and build analytical solutions that inform operational decisions.

The role offers a hybrid pattern (3 days in the office) and exposure to Snowflake, Power BI and predictive analytics as the data platform evolves. You’ll collaborate with a small analytics team, take ownership of projects, and contribute to forecasting occupancy and resource planning