Position: Data Analyst # JN -102019-49661 A compelling career opportunity exists for a skilled Data Analyst # JN -102019-49661 to drive meaningful impact. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Duties and Accountabilities: Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Present analytical findings to technical and non-technical stakeholders with clarity. Document data architecture, lineage, and metadata management practices comprehensively. Work with stakeholders to define data requirements and translate them into analytical solutions. Identify trends, anomalies, and patterns to generate actionable business intelligence. Apply predictive and prescriptive analytics to solve complex business challenges. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Maintain and optimise databases, data warehouses, and cloud-based data environments. Key Skills and Qualifications: 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Sound understanding of organisational dynamics and stakeholder management in complex environments. Critical and strategic thinking skills with the ability to translate insights into clear actions. Advanced competency in analytical tools, reporting platforms, and role-specific technology. Effective presentation skills with the ability to communicate complex ideas with clarity. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.

Position: Data Analyst Intern Our firm seeks a competent and professional Data Analyst Intern for a critical role in a high-performance environment. This is an excellent opportunity for professionals who value structured career advancement and meaningful impact. Main Accountabilities: Collaborate with engineering teams to embed analytics and AI into core product workflows. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Build self-service analytics capabilities that empower business teams to explore data. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Train, evaluate, and deploy machine learning models across classification and regression tasks. Ensure compliance with data governance, privacy regulations, and security standards. Publish insights, model performance reports, and data science findings to leadership. Optimise SQL queries, stored procedures, and database performance across environments. Essential Skills and Experience: Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. 4+ years of experience with a demonstrated track record of growth and professional impact. Collaborative, proactive, and able to operate effectively with minimal supervision. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We look forward to welcoming a driven professional who shares our commitment to excellence and sustained impact.

Position: Sr. Business Intelligence Analyst We seek a dedicated and solutions-focused Sr. Business Intelligence Analyst to join our cross-functional, high-performing team. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Key Responsibilities: Collaborate with data engineers and business teams to provide clean, reliable analytical data. Work with stakeholders to define data requirements and translate them into analytical solutions. Document data architecture, lineage, and metadata management practices comprehensively. Identify trends, anomalies, and patterns to generate actionable business intelligence. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Build interactive dashboards and reports that translate insights into business narratives. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Present analytical findings to technical and non-technical stakeholders with clarity. Qualifications and Requirements: Excellent verbal and written communication skills; fluency in English is essential. Strong analytical and problem-solving skills with the ability to navigate complex challenges. Experience collaborating within cross-functional teams and matrix organisational structures. A bachelor's degree or higher in a relevant field; postgraduate qualifications are an added advantage. Minimum 35 years of progressive professional experience in a comparable role. Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.

Position: Data Analyst A distinguished opportunity awaits a seasoned Data Analyst within our progressive, innovation-led organisation. This role sits within a fast-paced, innovation-driven organisation that values integrity and continuous improvement. Main Accountabilities: Publish insights, model performance reports, and data science findings to leadership. Implement data quality monitoring and automated alerting frameworks for pipelines. Design data models and schemas optimised for analytical and high-performance workloads. Build self-service analytics capabilities that empower business teams to explore data. Ensure compliance with data governance, privacy regulations, and security standards. Train, evaluate, and deploy machine learning models across classification and regression tasks. Collaborate with engineering teams to embed analytics and AI into core product workflows. Optimise SQL queries, stored procedures, and database performance across environments. Essential Skills and Experience: Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Superior writing and communication skills with experience preparing executive-level documents. 4+ years of experience with a demonstrated track record of growth and professional impact. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. The organisation provides a comprehensive benefits package and excellent career advancement opportunities for the right candidate.

Position: Sr. Data Analyst - Digital Marketing Analytics We are looking for a strategic and detail-oriented Sr. Data Analyst - Digital Marketing Analytics to deliver excellence across key functions. The organisation is committed to nurturing talent and providing a platform for exceptional career growth. Responsibilities Include: Ensure data quality, accuracy, and integrity through validation and governance frameworks. Apply predictive and prescriptive analytics to solve complex business challenges. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Present analytical findings to technical and non-technical stakeholders with clarity. Maintain and optimise databases, data warehouses, and cloud-based data environments. Document data architecture, lineage, and metadata management practices comprehensively. Build interactive dashboards and reports that translate insights into business narratives. Develop and validate machine learning models ensuring scalability and production readiness. Skills and Qualifications: A structured, results-driven approach with the ability to meet defined milestones consistently. Demonstrated teamwork skills and the ability to build trust and rapport across functions. 26 years of relevant industry experience with evidence of increasing responsibility. Strong communication, presentation, and interpersonal skills across all organisational levels. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. A competitive compensation structure along with performance incentives and growth opportunities awaits the right candidate.

Position: Wastewater Engineer/Data Analyst We are seeking a highly qualified and motivated Wastewater Engineer/Data Analyst to join our dynamic and growing team. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Duties and Accountabilities: Maintain and optimise databases, data warehouses, and cloud-based data environments. Build interactive dashboards and reports that translate insights into business narratives. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Present analytical findings to technical and non-technical stakeholders with clarity. Develop and validate machine learning models ensuring scalability and production readiness. Document data architecture, lineage, and metadata management practices comprehensively. Identify trends, anomalies, and patterns to generate actionable business intelligence. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Key Skills and Qualifications: Critical and strategic thinking skills with the ability to translate insights into clear actions. Recognised qualification in the relevant professional field at the undergraduate or graduate level. Commitment to professional ethics, confidentiality, and the highest standards of conduct. 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Effective presentation skills with the ability to communicate complex ideas with clarity. Sound understanding of organisational dynamics and stakeholder management in complex environments. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.

Position: Data Analyst Sr An exciting career opportunity exists for a motivated Data Analyst Sr to advance their professional journey. This position is embedded within a high-functioning team that prizes collaboration, innovation, and quality. Key Deliverables and Responsibilities: Collaborate with engineering teams to embed analytics and AI into core product workflows. Develop scalable data engineering pipelines to ingest, transform, and serve data. Build self-service analytics capabilities that empower business teams to explore data. Train, evaluate, and deploy machine learning models across classification and regression tasks. Build A/B testing frameworks and experimentation infrastructure for product teams. Optimise SQL queries, stored procedures, and database performance across environments. Design data models and schemas optimised for analytical and high-performance workloads. Publish insights, model performance reports, and data science findings to leadership. Professional Requirements: Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Hands-on experience with tools, software, and platforms standard to the profession. Strong communication, presentation, and interpersonal skills across all organisational levels. Willingness to travel, adapt, and take on additional responsibilities as the business demands. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Applications are reviewed on a rolling basis; suitably qualified individuals are encouraged to apply promptly.

Position: Data Analyst We are currently recruiting a results-oriented Data Analyst to strengthen our high-performing team. This is an excellent opportunity for professionals who value structured career advancement and meaningful impact. Principal Responsibilities: Collaborate with engineering teams to embed analytics and AI into core product workflows. Design data models and schemas optimised for analytical and high-performance workloads. Build self-service analytics capabilities that empower business teams to explore data. Build A/B testing frameworks and experimentation infrastructure for product teams. Implement data quality monitoring and automated alerting frameworks for pipelines. Ensure compliance with data governance, privacy regulations, and security standards. Develop scalable data engineering pipelines to ingest, transform, and serve data. Train, evaluate, and deploy machine learning models across classification and regression tasks. Candidate Requirements: Recognised qualification in the relevant professional field at the undergraduate or graduate level. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Leadership experience with a track record of guiding teams, projects, or cross-functional initiatives. Critical and strategic thinking skills with the ability to translate insights into clear actions. Sound understanding of organisational dynamics and stakeholder management in complex environments. Effective presentation skills with the ability to communicate complex ideas with clarity. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We look forward to welcoming a driven professional who shares our commitment to excellence and sustained impact.

Position: Business Intelligence Analyst (On-site/Remote-US) An exciting career opportunity exists for a motivated Business Intelligence Analyst (On-site/Remote-US) to advance their professional journey. This role sits within a fast-paced, innovation-driven organisation that values integrity and continuous improvement. Main Accountabilities: Collaborate with engineering teams to embed analytics and AI into core product workflows. Ensure compliance with data governance, privacy regulations, and security standards. Train, evaluate, and deploy machine learning models across classification and regression tasks. Develop scalable data engineering pipelines to ingest, transform, and serve data. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Implement data quality monitoring and automated alerting frameworks for pipelines. Build self-service analytics capabilities that empower business teams to explore data. Essential Skills and Experience: Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Strong project management capabilities with experience in agile or structured methodologies. 4+ years of experience with a demonstrated track record of growth and professional impact. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. The organisation provides a comprehensive benefits package and excellent career advancement opportunities for the right candidate.

Position: Data Analyst, Marketing An exceptional opportunity has arisen for a talented Data Analyst, Marketing to contribute to our mission. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Duties and Accountabilities: Work with stakeholders to define data requirements and translate them into analytical solutions. Identify trends, anomalies, and patterns to generate actionable business intelligence. Build interactive dashboards and reports that translate insights into business narratives. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Present analytical findings to technical and non-technical stakeholders with clarity. Apply predictive and prescriptive analytics to solve complex business challenges. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Maintain and optimise databases, data warehouses, and cloud-based data environments. Key Skills and Qualifications: Recognised qualification in the relevant professional field at the undergraduate or graduate level. Leadership experience with a track record of guiding teams, projects, or cross-functional initiatives. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Sound understanding of organisational dynamics and stakeholder management in complex environments. 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Critical and strategic thinking skills with the ability to translate insights into clear actions. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.