Job Description:

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.

Key Responsibilities
• Analyse 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:
o MySQL
o Cassandra
o Postgress
o MongoDB
o 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.
• Bachelor's 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
• Solid 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.

📌 Analytics Engineer (India)
🏢 Trigyn Technologies
📍 India