At a Glance
- Tasks: Transform messy data into reliable insights and impactful stories for decision-making.
- Company: Join a dynamic Intelligence and Reporting team in a growing tech environment.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a collaborative team that values your contributions and growth.
- Why this job: Make a real difference by turning complex data into clear, actionable insights.
- Qualifications: Strong SQL skills and experience with cloud data platforms like Snowflake.
The predicted salary is between 45000 - 55000 £ per year.
We’re looking for a talented Data Analyst / Analytics Engineer to join a growing Intelligence and Reporting team. This role is ideal for someone who enjoys turning complex, messy data into reliable pipelines, meaningful analysis and clear stories that help senior stakeholders make better decisions.
What you’ll be doing:
- Writing production-quality SQL and building maintainable data transformation workflows
- Working with cloud data warehouses and data lakes, ideally Snowflake
- Developing and improving reliable data pipelines
- Using dbt and GitHub within a structured development-to-production workflow
- Analysing data, identifying meaningful insights and communicating what the findings actually mean
- Implementing data validation and quality-testing processes
- Using Python for data manipulation and analysis
- Creating clear and compelling visualisations using tools such as ThoughtSpot, Tableau or Power BI
- Supporting colleagues across the wider Intelligence and Reporting team
What we’re looking for:
- Strong SQL skills, including CTEs, joins, window functions and aggregations
- Experience working with semi-structured data such as JSON, VARIANT or ARRAY
- Practical experience with a cloud data platform such as Snowflake, BigQuery, Redshift or Databricks
- Working knowledge of dbt, or the ability to learn it quickly
- Confidence using GitHub and version-control workflows
- An understanding of data pipelines, quality controls and common failure points
- Basic Python skills, ideally using pandas or a similar library
- Experience with data visualisation and presenting insights
- Strong Excel and presentation skills
- Excellent written and spoken English
Just as importantly, you’ll be proactive, highly responsive and a genuine team player who takes pride in helping the whole team succeed.
Interested, or know someone who could be a great fit? Please send in your resume for more information.
Senior Analytics Engineer employer: TDA
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