Data Analyst (Python/Pyspark, Snowflake, SQL)
Posted Today by Digital Skills Ltd
£70 Per hour
Inside
Hybrid
Manchester/Remote, UK
Summary: This role is for a senior Data Analyst specializing in Python/Pyspark, Snowflake, and SQL, who will join a high-performing Data Science and Analytics team. The position involves designing and delivering end-to-end analytics solutions to transform complex datasets into actionable insights. The candidate will work in a hybrid environment, spending two days a week in the office in Manchester. The contract is initially for six months, with a focus on data-driven decision-making in a global technology business.
Key Responsibilities:
- Analyse and prepare large datasets for analytical use across multiple business domains
- Translate business problems into clear, data-driven insights and narratives
- Design and deliver scalable analytics and reporting solutions
- Apply statistical methods and experimentation techniques, including A/B testing
- Collaborate with cross-functional teams including Product, Engineering and Data
- Ensure data quality through validation, testing and peer review
- Create visualisations and dashboards to communicate insights effectively
- Identify opportunities to improve analytics approaches and tools
- Support and mentor junior team members, promoting best practice
Key Skills:
- Strong commercial experience in data analytics within complex environments
- Advanced proficiency in Python/Pyspark, SQL and Snowflake
- Proven experience with end-to-end data lifecycle, from data collection through to reporting
- Strong knowledge of experimentation, A/B testing and statistical analysis
- Experience with data visualisation tools such as Tableau or Power BI
- Background in customer behavioural analytics or event tracking is advantageous
- Ability to communicate complex technical concepts to non-technical stakeholders
- Strong problem-solving, stakeholder management and prioritisation skills
- Experience working in cross-functional teams is highly desirable
- Exposure to AI tools or machine learning concepts is beneficial but not essential
Salary (Rate): £70 hourly
City: Manchester
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Data Analyst (Python/Pyspark, Snowflake, SQL)
Up to £70 per hour (based on 37.5 hours per week)
Manchester/Remote - 2 days per week in the office
Initial 6-month contract
About the Client
Digital Skills are working with a global technology business operating at scale, delivering data-driven solutions across a complex and customer-focused environment. The organisation is investing heavily in its data capabilities, with a strong focus on analytics, experimentation and insight-led decision making.
About the Role
This is an exciting opportunity for a senior Data Analyst to join a high-performing Data Science and Analytics team. The role centres on designing and delivering end-to-end analytics solutions, transforming complex datasets into meaningful insights that drive product and business decisions.
Responsibilities
- Analyse and prepare large datasets for analytical use across multiple business domains
- Translate business problems into clear, data-driven insights and narratives
- Design and deliver scalable analytics and reporting solutions
- Apply statistical methods and experimentation techniques, including A/B testing
- Collaborate with cross-functional teams including Product, Engineering and Data
- Ensure data quality through validation, testing and peer review
- Create visualisations and dashboards to communicate insights effectively
- Identify opportunities to improve analytics approaches and tools
- Support and mentor junior team members, promoting best practice
Desired Skills and Experience
- Strong commercial experience in data analytics within complex environments
- Advanced proficiency in Python/Pyspark, SQL and Snowflake
- Proven experience with end-to-end data lifecycle, from data collection through to reporting
- Strong knowledge of experimentation, A/B testing and statistical analysis
- Experience with data visualisation tools such as Tableau or Power BI
- Background in customer behavioural analytics or event tracking is advantageous
- Ability to communicate complex technical concepts to non-technical stakeholders
- Strong problem-solving, stakeholder management and prioritisation skills
- Experience working in cross-functional teams is highly desirable
- Exposure to AI tools or machine learning concepts is beneficial but not essential
Summary of the Best Candidate
The ideal candidate is a senior Data Analyst with a strong technical background and proven experience delivering data-driven insights in a fast-paced environment. You will be confident working independently, collaborating with a wide range of stakeholders, and translating complex data into actionable business outcomes.
This role suits someone with deep expertise in Python/Pyspark, SQL and Snowflake, alongside a strong understanding of experimentation and data visualisation. You will be proactive, detail-oriented and capable of influencing decision-making through high-quality, scalable analytics solutions.