Data Engineer II

Partner with business stakeholders and application and data teams to define reporting requirements, KPIs, and performance metrics.

Coordinate with relevant teams to implement, maintain, and enforce consistent reporting standards across the organization.

Analyze business processes and lead the development and maintenance of semantic models, data marts, and catalogs of certified reports and datasets.

Monitor industry trends and emerging technologies in analytics and business intelligence, identifying opportunities to introduce relevant improvements.

Serve as a key point of contact for questions relating to reports, metric definitions, data interpretation, and business processes.

Lead data analysis and reporting development activities, including designing and building dashboards and self-service reporting solutions.

Translate business needs into effective analytical solutions that support operational and strategic decision-making.

Continuously improve reporting and analytics strategies by enhancing report performance, usability, accessibility, and adoption.

At least 2 years of overall experience leading or delivering reporting, dashboarding, and analytics projects.

Good understanding of data modeling concepts and business processes within ERP and enterprise platforms.

Experience working with enterprise systems such as Salesforce, Oracle, and Workday.

Strong experience with relational database management systems (RDBMS), particularly Oracle.

Advanced SQL skills, including the ability to analyze, manipulate, and structure data for reporting purposes.

Hands-on experience developing reports and dashboards using business intelligence tools such as Tableau and Power BI.

Strong analytical and problem-solving abilities, with the capacity to turn business requirements into actionable insights.

Excellent communication and interpersonal skills, with the ability to collaborate effectively with technical teams and business stakeholders.

Adaptability and flexibility when working in a changing enterprise environment.

A naturally curious mindset, with a strong interest in continuous learning and emerging analytics technologies.

A proactive, self-starting attitude and the ability to take initiative in identifying and resolving problems.

Remote working arrangement in India.

Flexible working options, with arrangements that can be discussed during the recruitment process.

Comprehensive benefits designed to support physical and overall well-being.

Financial benefits and resources tailored to individual needs.

Family-oriented benefits and support.

Flexible options supporting work-life balance and personal commitments.

Opportunities for professional development, continuous learning, and career growth.

Collaborative and inclusive working environment that values diverse perspectives and innovation.

Opportunity to work with global teams and contribute to impactful data and analytics solutions.