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Gather, clean, validate, and collate data sets derived from laboratory tests, including concrete cube testing, slump tests, plate bearing tests, and pile integrity testing. Develop and enforce data management policies and procedures to ensure high data quality and regulatory compliance. Analyse test data to identify patterns, trends, and anomalies relevant to materials performance, operational efficiency, and client-specific outcomes. Create visual dashboards, reports, and graphs to support internal decision-making and provide clear data interpretation for both technical and non-technical stakeholders. Collaborate with laboratory and field teams to streamline data entry processes and ensure consistency in data capture and formatting. Present findings and recommendations to senior management and external clients to inform quality assurance, project planning, and service development. Support quality audits by maintaining accurate, well-documented records of test data and analytical processes.

Test Analyst (Salesforce/ GDPR) Role: Test Analyst - GDPR and Salesforce Experience Job Type: (Hybrid) 4 days at home, 1 day in the office. Job Location: London Rate: £200-£300 Per/Day (Depending on experience) Duration: 3 Months (with likelihood of extension) **Key Responsibilities:** Test Planning & Execution: - Develop, execute, and maintain comprehensive test plans, test cases, and test scripts for Salesforce applications and related systems. - Perform functional, regression, performance, and usability testing to identify defects and ensure quality. GDPR Compliance Testing: - Validate that systems correctly capture, store, and manage user consents in line with GDPR requirements. - Ensure mechanisms are in place for users to easily opt-in/opt-out, request data access, or invoke the right to be forgotten. - Test the implementation of lawful bases for data processing, such as consent and legitimate interest, within the CRM. Salesforce-Specific Testing: - Verify the correct functioning of Salesforce's 'Individual' object and related consent fields (e.g., 'Don’t Market', 'Don’t Track') . - Test integrations between Salesforce and marketing platforms like Marketing Cloud or Pardot, focusing on consent and preference data flow . Collaboration & Reporting: - Work closely with developers, business analysts, and stakeholders to understand requirements and resolve issues. - Document test results, report defects, and track defect resolution throughout the development lifecycle. Required Qualifications: - Proven experience as a Test Analyst or in a similar role, with a focus on CRM systems. - In-depth understanding of GDPR, especially concerning marketing preferences and consent management. - Hands-on experience with Salesforce, including knowledge of objects related to data privacy and consent. - Familiarity with Salesforce's Preference Manager and Consent Templates . - Proficiency in manual and automated testing tools relevant to Salesforce applications. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. Preferred Qualifications: - Experience with Salesforce Marketing Cloud, Pardot, or similar marketing automation platforms. - Understanding of data processing agreements and third-party data integrations. - Knowledge of data anonymization and encryption techniques in line with GDPR . - Familiarity with data subject rights management processes, such as data access requests and data portability . What We Offer: - Competitive day rate of £200-£300/ per day - Opportunities for professional development and certifications. - A collaborative and inclusive work environment. - Flexible working arrangements to support work-life balance. Application Process: Interested candidates are invited to submit their CV and a cover letter detailing their relevant experience and motivations for applying. Shortlisted candidates will be contacted for an interview. ​ Schedule: Monday to Friday Experience: Salesforce: 3 years (required) GDPR - Marketing Preference: 3 years (required) Agile: 2 years (required) Work Location: Hybrid remote in London EC1V 7RQ Reference ID: Test Analyst (Salesforce/ GDPR) Expected start date: 09/06/2025

Job Title: Research Assistant (Remote) Company: Valutrades Location: Remote Job Type: [Full-time/Part-time/Contract] Department: Research & Strategy About Valutrades: Valutrades is a global financial services provider committed to empowering traders with the tools, knowledge, and insights they need to succeed. Our mission is to deliver a premium trading experience rooted in transparency, reliability, and continuous innovation. We're looking for a Research Assistant with hands-on trading experience through Valutrades to support our research and strategy team remotely. Position Overview: We are seeking a detail-oriented and analytical Research Assistant who has an active or past trading history with Valutrades. This remote role involves supporting the research team with market analysis, data collection, and strategic insights that help enhance trading strategies and inform business decisions. Key Responsibilities: - Conduct research and analysis on financial markets, trading instruments, and macroeconomic trends. - Analyze past and current trading data, particularly your own trading experience with Valutrades, to support strategy development. - Create and maintain research reports, dashboards, and internal documentation. - Support the development and testing of new trading strategies based on market trends and performance metrics. - Assist in preparing presentations and reports for internal and external stakeholders. - Monitor financial news and events that may impact markets and summarize key insights. - Collaborate remotely with analysts, traders, and management on research initiatives. - Requirements: - Proven trading history with Valutrades (account history will be used to confirm). - Solid understanding of trading platforms, instruments, and technical/fundamental analysis. - Excellent research and analytical skills with a keen attention to detail. - Ability to interpret and work with large sets of data. - Strong communication skills, both written and verbal. - Self-motivated and able to work independently in a remote setting. - Proficiency in Microsoft Excel, Google Sheets, or similar tools; knowledge of trading platforms and indicators is a plus. - Experience with data analysis tools or programming languages (Python, R, etc.) is advantageous but not required. - Preferred Qualifications: - Background in Finance, Economics, Mathematics, or a related field. - Familiarity with economic indicators, risk management principles, and backtesting methods. - Previous experience in a research or trading support role. - What We Offer: - Flexible remote working arrangement. - Competitive compensation based on experience and contribution. - Opportunity to influence research directions and contribute to strategic trading decisions. - Access to ongoing professional development and market education resources.

Analysing the structure of a business to determine how it operates and determine its objectives Identifying any problems with the current business model Designing potential solutions to any problems identified during the research phase Preparing and delivering a report of their findings to leadership with comprehensive risk and impact assessment Developing comprehensive end-to-end (E2E) test cases at the application and multi-application levels Overseeing the implementation of approved process improvements Hiring, monitoring and overseeing the IT team members Carrying out training sessions and workshops to guide relevant teams Carrying out periodic quality checks

Job Description: Ready to kickstart your career in tech? Join our Data Analytics Job Placement Programme at Ad Astra Network — designed for beginners and career changers looking to enter the world of data. Learn job-ready skills from industry experts, work on real business projects, and get full career support to land your first role as a data analyst. What You’ll Do: - Excel for data handling - SQL for querying databases - Power BI for dashboards and reporting - Real-world business projects - CV, interview & job support ** What You Get:** - Structured, hands-on training - Work experience on real client projects - Professional certification - 1-to-1 career support - Job placement assistance ** Requirements:** - Strong interest in data and technology - Good written and spoken English - Basic computer literacy - Motivation to start a new career - No experience needed. Full training provided. This is the perfect opportunity to gain in-demand skills and get hired quickly in a growing industry. Apply today and take the first step toward your new data career!

Summary: Are you passionate about uncovering insights hidden within data? We're looking for a Data Analyst to join our team and play a key role in driving data-driven decisions. You'll be responsible for collecting, processing, and analyzing complex datasets to identify trends, patterns, and opportunities that will help our organization achieve its strategic goals. Your work will directly influence business outcomes by providing actionable intelligence to stakeholders across the company. Responsibilities: Collect data from various sources, including databases, APIs, and other systems. Clean and prepare data for analysis, ensuring accuracy and consistency. Analyze data using statistical methods and tools (e.g., SQL, Excel, Python, R) to identify key trends, patterns, and anomalies. Develop and maintain reports, dashboards, and data visualizations to communicate findings to technical and non-technical audiences. Collaborate with cross-functional teams (e.g., marketing, sales, operations) to understand their data needs and provide analytical support. Identify opportunities to improve data collection, processing, and analysis methodologies. Document data analysis processes and findings to ensure reproducibility and knowledge sharing. Stay up-to-date with the latest trends and technologies in data analysis. Qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL for data extraction and manipulation. Excellent skills in Excel for data analysis and reporting. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. Familiarity with programming languages such as Python or R for statistical analysis is a plus. Solid understanding of statistical concepts and methods. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced environment.