Data Analyst

Job description

Job responsibilities

The primary purpose of the role is to manage, review, validate, analyse and interpret a variety of datasets, with a core focus on extracting meaningful insights that inform service improvement and strategic decision-making. Data Collection and Acquisition

Gather data from primary (internal systems, surveys) and secondary (public datasets, APIs) sources.

Collaborate with IT and data engineers to access relevant data.

Automate data collection and reporting processes using Python, R, or SQL.

Data Cleaning and Preparation; Analytics Processes

Handle missing or inconsistent data.

Format and structure data for analysis.

Use tools like SQL, Excel, R, Python for wrangling.

Provide support for analytics processes, methods and tools to ensure maximum efficiency, accuracy, and security.

Create processes to validate data across several datasets.

Manipulate and move data in various formats and from/to different systems.

Ensure data stored in various systems is correct, accurate and reliable.

Data Analysis and Interpretation

Analyse raw data, perform exploratory data analysis (EDA) to find trends, patterns, or anomalies.

Use statistical techniques to test hypotheses or model relationships. Should be comfortable with analysis methods such as correlation, regression and hypothesis testing, in both parametric and non-parametric forms.

Interpret trends and deliver actionable insights to clients.

Reporting and Data Visualisation

Provide support to operational work - regular reporting projects. Maintain tools and dashboards and update data regularly.

Build recurring reports and automate them when possible.

Design and create visual representations of data: dashboards, charts, and reports using tools like Power BI.

Present data in a clear, understandable way to clients.

Reporting, Storytelling with Data, and Communication

Translate technical findings into data insights. Explain analytical findings in a compelling, digestible format to non-technical audiences.

Bridge the gap between data and decision-makers.

Communicate results through presentations, reports, and briefings.

Ensure developed products are delivered to set timescales.

Cross-team Collaboration

Work with all teams: programme teams, product team, dev hub, network development and others.

Collaborate with and understand programme team's requirements.

Benefits

Annual bonus scheme (subject to personal and business performance)

25 days holiday increasing to 28 after 18 months service, plus statutory bank holidays

Flexible 8-hour shift around 6 core working hours

Contributory pension

Wellbeing programme, including EAP

Life Assurance

Person Specification

Qualifications

• University Degree or equivalent.

Experience

• At least 2 years' industry experience.
• Strong background in technology, mathematics, or another related field
• Knowledge of mathematical concepts such as correlation analysis, hypothesis testing, and regression, and being able to carry out this analysis in both parametric and non-parametric forms
• Excellent IT skills including fluency with all Microsoft packages, particularly Excel, Word, PowerPoint, PowerBi.
• Experience in R programming language, including RShiny and/o RMarkdown.
• Knowledge and proficiency in working with database systems (SQL/PostgreSQL) and writing performant SQL queries.
• Experience in data manipulation, data cleaning and preparation.
• Experience in data analysis and interpretation, data modelling.
• Experience in data visualisation.
• Ability to meet project deadlines.
• Strong track record of problem-solving ability and troubleshooting skills.
• Evidence of excellent communication and interpersonal skills. Clearly communicate technical concepts to both technical and non-technical audiences.
• Self-motivated and capable of working independently, while also enjoying collaboration and contributing as a team player.
• Adaptability and willingness to learn new technologies.
• Willingness to work flexibly and adaptably.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Employer details

Employer name

Mountain Healthcare Ltd

Address

Manchester

City Of Manchester

M4 7DB

Employer's website

https://www.mountainhealthcare.co.uk/