Analytics Engineer

We are looking for an experienced Analytics Engineer. The candidate will be responsible for working with large-scale datasets, developing analytical solutions, identifying trends and insights, and building dashboards and reporting solutions that help stakeholders make data-driven decisions. The ideal candidate should have strong hands-on experience with RDBMS, NoSQL databases, analytical data stores, data processing technologies, and visualisation/reporting tools, along with the ability to quickly learn and deploy new analytics technologies.

Responsibilities

• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
• Design, develop, and maintain analytical datasets, reports, dashboards, and data products.
• Work with RDBMS, NoSQL databases, and analytical data stores to extract, transform, validate, and analyse data.
• Develop efficient data queries and data-processing solutions for analytical and reporting requirements.
• Work closely with data engineers, developers, architects, business teams, and project stakeholders to understand reporting and analytics requirements.
• Develop dashboards and reports that make raw data meaningful and useful for enterprise decision-making.
• Support data quality checks, data validation, reconciliation, and troubleshooting of data-related issues.
• Identify opportunities for improving data pipelines, analytical processes, reporting performance, and data usability.
• Work with large-scale datasets and optimise queries and analytical workloads for performance.
• Evaluate, learn, and implement new reporting, analytics, and data-processing tools as required.
• Contribute to documentation of data models, reports, dashboards, analytical processes, and technical solutions.
• Support ad-hoc data analysis and reporting requirements from project stakeholders.
• Can lead a team of analytics team members when needed.

Required Technical Skills

Databases Data Stores

• Strong experience working with RDBMS, NoSQL, and analytical databases/data stores.
• Hands-on experience with one or more of: MySQL, Cassandra, Postgress, MongoDB, Druid.
• Good understanding of data modelling, querying, aggregation, indexing, and performance optimisation.

Programming Data Processing

• Strong hands-on knowledge of Python.
• Good knowledge of Apache Spark and distributed data processing.
• Ability to develop scripts/programs for data extraction, transformation, validation, and analysis.

Analytics Reporting

• Experience developing dashboards, reports, KPIs, and analytical views.
• Ability to identify trends and patterns from large datasets and translate them into meaningful insights.
• Experience with reporting and visualisation tools.
• Ability to quickly learn, understand, and deploy new reporting and analysis tools.
• Strong understanding of data aggregation, filtering, drill-downs, and analytical reporting requirements.

Experience Qualifications

• Minimum 5 years of relevant professional experience in data analytics, data engineering, analytics engineering, business intelligence, or a related field.
• Experience working as part of a data/analytics team, preferably in a Data Analyst, Data Engineer, Analytics Engineer, or similar role.
• Experience working with large-scale datasets and enterprise-level reporting environments.
• Experience in developing dashboards and analytical solutions for business/project stakeholders.
• Bachelors degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Preferred Skills

• Experience working on large-scale government, education, e-governance, or enterprise data platforms.
• Experience with high-volume transactional and analytical datasets.
• Knowledge of data warehousing and ETL concepts.
• Understanding of distributed systems and big-data technologies.
• Experience with cloud-based data platforms and analytical environments.
• Good understanding of data quality, governance, security, and access-control concepts.
• Experience working in Agile/Scrum-based project environments.

Key Competencies

• Strong analytical and problem-solving skills.
• Ability to work with large and complex datasets.
• Good understanding of business and technical reporting requirements.
• Strong attention to data accuracy and quality.
• Ability to independently investigate data issues and identify root causes.
• Strong communication and stakeholder-management skills.
• Ability to learn new technologies and tools quickly.
• Ability to work effectively in a collaborative, cross-functional team.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.