Data Solutions Analyst - c£75k

Data Solutions Analyst - c£75k

  • Location

    South London, London

  • Sector:

    Data Science & Engineering

  • Job type:


  • Salary:

    £65000 - £80000 per annum + bonus + bens

  • Contact:

    Richard Drew

  • Contact email:


  • Job ref:


  • Startdate:


The North Starr recruitment team are looking to make 2 strategic hires into our clients Data Solution team.

This role will see the successful candidate combine their talents for best practice Data Analytics with cutting edge future state Data technologies.

As part of a dedicated team of Data Scientist, Architects and Analyst, you will be tasked with helping to shape the future state of this division. We are looking for 2 Data professionals who are at the top of their game and looking to join a highly motivated team to improve the clients data experience.

This is a key role that will be accountable for the development and operations of the clients Data Solution to drive maximum value from data for users and in line with company best practices. You will work as part of a cross-functional agile delivery team, including big data engineers, data scientists, analysts, DevOps, and QA.

You will have the opportunity to work on complex problems, designing high performance solutions that will run on top of our cloud based big data platform.

The key Accountabilities for this role are as follows:

  • Data Solution Development and Delivery
    • Own the roadmap for the development of the Rescue data solution, working closely with the Rescue business and data scientist teams to support the creation of innovative advance data analytics solutions.
    • Lead solution design, development and support for the Rescue data solution across analytics and BI use cases.
    • Select, pilot, and integrate open source and third party tools, frameworks, and applications for data transformation, analysis, machine learning and other data processes.
    • Develop data as a service capability, driving more self-service by data consumers, enabled by automated data quality controls and clear data lineage in line with our platform standards.
    • Lead agile working and project delivery managing budget, scope, risks and issues.
    • Lead the development team to work to common standards and best practices, including meeting all regulatory requirements.
    • Work as part of the Data Solution Owners team to uphold and evolve common standards.

To qualify for an immediate telephone interview on this role we require the following technical skill set.

    • Proficiency in one of the programming languages like Java, Python, R.
    • Understanding and experience of AWS cloud storage and computing platform (especially S3, Athena, Redshift, Glacier, EMR, EC2).
    • Hands-on experience with stream data processing framework like Apache Spark or Flink.
    • Demonstrated experience of working on various data integration tools like Talend, Pentho, Informatica for both ETL as well as ELT processing.
    • Working experience of data preparation tools like SAS, Alteryx.
    • Experience on any one of BI tools such as Tableau, Qlik, Looker.
    • Solid understanding of Enterprise patterns and applying best practices when integrating various inputs and outputs together at scale.
    • Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)
    • Understanding of DevOps principles, tools, and the intersection with cloud architecture.
    • Experienced delivering projects in an Agile Environment, familiarity with Jira, Git, and Stash.
    • Solid background in mathematics, including statistics, time series analysis, optimization, etc
    • Must have familiarity with Machine Learning techniques such as Regression, Logistic Regression, Support Vector Machines.

Our client can wait a reasonable timescale for the right candidate so please apply if you are on a notice or more immediately available.

The business promotes a strong work to home life balance and fully embraces the benefits this brings to the teams.

The North Starr recruitment team look forward to hearing from you.