At a Glance
- Tasks: Analyse priority datasets and produce decision-focused insights in a secure environment.
- Company: Goaco, a global digital consultancy specialising in secure solutions.
- Benefits: Competitive pay, flexible work, and potential for permanent role.
- Why this job: Make an impact by delivering analytical insights in a high-stakes environment.
- Qualifications: Strong analytical skills and experience in secure environments required.
- Other info: Opportunity for career growth and working on complex projects across the UK, UAE, and KSA.
The predicted salary is between 36000 - 60000 Β£ per year.
This role is for a Data Analyst with an ACTIVE SC required, offering a contract until the end of March, with a pay rate of "TBD". Key skills include ETL, data quality, and compliance in secure environments. Expected duration exceeds 6 months.
Company Description: Goaco is a global digital consultancy delivering secure, scalable solutions for government, enterprise and fast-growing tech companies. We specialise in software engineering, cyber security, digital identity, and cloud transformation. Our projects span across the UK, UAE and KSA with a proven record of delivery in complex regulated environments. We invest in our people and support flexible, high-performance work.
Role Purpose: The Data Analyst delivers analytical insight and proof-of-concept outputs within a security-cleared environment. The role focuses on producing decision-aligned analysis while ensuring that all work complies with security, classification and data-handling requirements.
Key Responsibilities:
- Conduct analysis of priority datasets within an SC-cleared environment.
- Assess data quality, completeness and analytical fitness in line with security constraints.
- Develop secure proof-of-concept insights and visualisations to support defined decision questions.
- Ensure analytical outputs are appropriate for use in secure senior decision-making forums.
- Clearly articulate assumptions, limitations and confidence levels associated with analytical outputs.
- Support MVP planning through secure analytical documentation and input to backlogs.
Skills and Experience:
- Strong analytical experience in secure or classified environments.
- Proven ability to produce clear, decision-focused insights from complex datasets.
- Experience working under strict information security and access controls.
- Ability to communicate analytical findings effectively to senior stakeholders.
- Familiarity with assurance-driven and evidence-based decision support.
Clearance Requirement: Security Clearance (SC) required. All work conducted in compliance with security and information assurance policies.
Data Analyst employer: Data Freelance Hub
Contact Detail:
Data Freelance Hub Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Analyst
β¨Tip Number 1
Network like a pro! Reach out to your connections in the data analysis field, especially those who have experience in secure environments. A friendly chat can lead to insider info about job openings or even referrals.
β¨Tip Number 2
Prepare for interviews by brushing up on your ETL and data quality skills. Be ready to discuss how you've handled compliance in previous roles. We want you to shine when it comes to showcasing your analytical prowess!
β¨Tip Number 3
Donβt forget to tailor your approach! When applying through our website, highlight your experience with security clearance and how it aligns with the role. Make it clear that you understand the importance of data handling in secure environments.
β¨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind. Use this opportunity to reiterate your enthusiasm for the role and how your skills can contribute to their projects in a secure setting.
We think you need these skills to ace Data Analyst
Some tips for your application π«‘
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with ETL, data quality, and compliance. We want to see how your skills align with the role, so donβt hold back on showcasing your relevant projects!
Showcase Your Analytical Skills: In your application, emphasise your ability to produce clear insights from complex datasets. Weβre looking for someone who can communicate findings effectively, so include examples of how you've done this in the past.
Highlight Security Experience: Since this role requires working in a security-cleared environment, make sure to mention any previous experience you have in secure or classified settings. We need to know you understand the importance of compliance and data handling!
Apply Through Our Website: We encourage you to submit your application through our website. Itβs the best way for us to receive your details and ensures youβre considered for the role. Plus, itβs super easy to do!
How to prepare for a job interview at Data Freelance Hub
β¨Know Your Data Inside Out
Make sure youβre well-versed in the datasets relevant to the role. Brush up on your ETL processes and be ready to discuss how you ensure data quality and compliance in secure environments. This will show that you understand the core responsibilities of a Data Analyst at Goaco.
β¨Understand Security Clearance Requirements
Since an ACTIVE SC is required, itβs crucial to demonstrate your familiarity with working in secure environments. Be prepared to talk about your previous experiences with security protocols and how youβve navigated compliance issues in past roles.
β¨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where youβve had to produce decision-aligned analysis or visualisations under strict security constraints. This will help you showcase your analytical prowess effectively.
β¨Communicate Clearly and Confidently
Youβll need to articulate your findings to senior stakeholders, so practice explaining complex concepts in simple terms. Highlight your ability to communicate assumptions and limitations clearly, as this is key in a decision-making context.