Job Overview At iCIMS, we're redefining how people connect with opportunity through intelligent, human-centred technology.

We're seeking a mid-level Analytics Engineer to design and deliver the data models, pipelines, and reporting solutions that power our Data & Analytics Products and enable customers to make data-driven talent acquisition decisions.

As an Analytics Engineer, you'll transform cross-product iCIMS data into accessible, reliable datasets and build the reporting infrastructure that brings our unified reporting vision to life.

You'll work closely with data engineers and the analytics team in a culture that values engineering excellence, clear communication, and continuous improvement.

About Us When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent.

Our customers do amazing things:

design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile.

As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent.

We’re passionate about helping companies build a diverse, winning workforce and about building our home team.

We're dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs.

Responsibilities Design and implement scalable data models optimised for reporting and analytics, ensuring data quality, consistency, and integrity across all reporting layers.

Apply software engineering best practices—such as version control, automated testing, and CI/CD—to design, build, and maintain data transformation workflows that convert raw ingested data into clean, structured, analytics-ready datasets Develop and maintain ELT pipelines to transform raw data into clean, structured datasets Build and maintain dashboards and reports that deliver actionable insights to customers and internal stakeholders Write and optimise SQL queries against data warehouses for performance and usability Collaborate with data engineers and product teams to understand requirements and align on data architecture and reporting needs Partner with business stakeholders to define KPIs, metrics, and reporting standards that drive decision-making Document data definitions, lineage, and transformation logic to ensure transparency, governance, and self-service analytics capabilities Implement data governance practices including security, compliance, and access controls Continuously improve data quality, pipeline efficiency, and reporting performance through monitoring, testing, and best practices Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, or related field (or equivalent professional experience) 3+ years of experience in analytics engineering, BI development, or data modelling roles Strong SQL skills and experience with data warehouses (e.g., Redshift, Snowflake, Big Query) Demonstrated experience building and maintaining data transformation pipelines using modern frameworks (e.g., DBT, Airflow, Databricks) Proven experience developing dashboards and reports using BI tools (e.g., Looker) Understanding of data architecture concepts including dimensional modelling, star schemas, and data warehouse design patterns Ability to translate business requirements into technical solutions and data models

Experience: with version control (e.g., Git) and software engineering best practices for analytics workflows Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services Knowledge of Python or R for data transformation and advanced analytics is a plus Strong analytical and problem-solving skills with intellectual curiosity Strong communication and collaboration skills across both technical and non-technical teams EEO Statement iCIMS is a place where everyone belongs.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities.

So, regardless of how your diversity expresses itself, you can find a home here at iCIMS.

We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.

If you’d like to request an accommodation due to a disability, please contact us at careers@icims.com.

Compensation and Benefits Competitive health and wellness benefits include medical insurance (employee and dependent family members), personal accident and group term life insurance, bonding and parental leave, lifestyle spending account reimbursements, wellness services offerings, sick and casual/emergency days, paid holidays, tuition reimbursement, retirals (PF - employer contribution) and gratuity.

Benefits and eligibility may vary by location, role, and tenure.

Learn more here:
https://careers.icims.com/benefits
Design and implement scalable data models optimised for reporting and analytics, ensuring data quality, consistency, and integrity across all reporting layers.

Apply software engineering best practices—such as version control, automated testing, and CI/CD—to design, build, and maintain data transformation workflows that convert raw ingested data into clean, structured, analytics-ready datasets Develop and maintain ELT pipelines to transform raw data into clean, structured datasets Build and maintain dashboards and reports that deliver actionable insights to customers and internal stakeholders Write and optimise SQL queries against data warehouses for performance and usability Collaborate with data engineers and product teams to understand requirements and align on data architecture and reporting needs Partner with business stakeholders to define KPIs, metrics, and reporting standards that drive decision-making Document data definitions, lineage, and transformation logic to ensure transparency, governance, and self-service analytics capabilities Implement data governance practices including security, compliance, and access controls Continuously improve data quality, pipeline efficiency, and reporting performance through monitoring, testing, and best practices
Bachelor's degree in Computer Science, Data Science, Information Systems, or related field (or equivalent professional experience) 3+ years of experience in analytics engineering, BI development, or data modelling roles Strong SQL skills and experience with data warehouses (e.g., Redshift, Snowflake, Big Query) Demonstrated experience building and maintaining data transformation pipelines using modern frameworks (e.g., DBT, Airflow, Databricks) Proven experience developing dashboards and reports using BI tools (e.g., Looker) Understanding of data architecture concepts including dimensional modelling, star schemas, and data warehouse design patterns Ability to translate business requirements into technical solutions and data models

Experience: with version control (e.g., Git) and software engineering best practices for analytics workflows Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services Knowledge of Python or R for data transformation and advanced analytics is a plus Strong analytical and problem-solving skills with intellectual curiosity Strong communication and collaboration skills across both technical and non-technical teams