Website:
genrec.ai
Job details:
Job Description: Data Analytics & Application Manager
Genrec.AI is hiring for its client which is a dynamic and growth-oriented organization operating in the real estate and technology sectors, committed to leveraging data-driven insights to enhance business performance and operational efficiency.
Position Summary
Job Title: Data Analytics & Application Manager
Department: Technology & Business Intelligence
Location: Gurugram, Haryana (On-site/Hybrid)
Experience Level: 4–8 years
Employment Type: Full-time
Reports To: Chief Technology Officer / Head of Operations
Job Overview
We are seeking a highly skilled Data Analytics & Application Manager to lead our data infrastructure, manage in-house business applications, and collaborate closely with development teams to drive innovation and efficiency. The ideal candidate will have a strong analytical mindset, deep expertise in data modeling and technology platforms, and proven experience in translating business requirements into technical solutions while managing system performance and cost optimization.
Key Responsibilities
Data Analytics & Modeling
• Design, develop, and maintain various data models (relational, dimensional, NoSQL) to support business intelligence and reporting requirements
• Build and optimize data pipelines for extraction, transformation, and loading (ETL/ELT) processes
• Develop advanced analytics frameworks to deliver actionable insights for strategic decision-making
• Create interactive dashboards and visualization tools using Power BI, Tableau, or similar platforms
• Establish and enforce data governance practices including data quality, validation, and security protocols
• Conduct predictive and prescriptive analytics to support forecasting and optimization initiatives
Business Requirements & Documentation
• Collaborate with business stakeholders across departments to understand operational needs and pain points
• Prepare comprehensive Business Requirement Documents (BRDs) with functional and non-functional specifications
• Translate business requirements into technical specifications for development teams
• Conduct feasibility analysis and impact assessments for proposed solutions
• Facilitate requirement validation workshops with stakeholders and obtain formal sign-offs
• Maintain documentation of system architecture, data flows, and application functionalities
Application Management
• Oversee the development, deployment, and maintenance of in-house business applications
• Ensure application performance, reliability, scalability, and security standards are met
• Coordinate user acceptance testing (UAT) and quality assurance processes
• Monitor application health, troubleshoot issues, and implement corrective measures
• Manage application integrations with third-party systems and legacy platforms
• Drive continuous improvement initiatives based on user feedback and system performance metrics
Development Team Coordination
• Act as the primary liaison between business units and the development team
• Participate in sprint planning, stand-ups, and retrospectives using Agile/Scrum methodologies
• Prioritize development backlog items based on business value and technical dependencies
• Review and validate deliverables to ensure alignment with business requirements
• Coordinate new feature development, enhancements, and bug fixes
• Facilitate knowledge transfer sessions and technical documentation reviews
Server & Cost Management
• Administer and optimize server infrastructure (on-premises and cloud environments)
• Monitor server performance, storage utilization, and resource allocation
• Implement cost optimization strategies for cloud resources (AWS, Azure, GCP)
• Manage database administration tasks including backup, recovery, and performance tuning
• Evaluate and implement monitoring tools for proactive system management
• Conduct capacity planning and scalability assessments
• Oversee vendor relationships and license management for technology platforms
Required Qualifications
Education
• Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or related field
• Master's degree in Data Analytics, Business Intelligence, or MCA preferred
Experience
• 4–8 years of progressive experience in data analytics, application management, or IT systems operations
• Proven track record of managing business applications from conception to deployment
• Experience working with cross-functional teams and managing stakeholder expectations
• Demonstrated experience in requirement gathering and BRD documentation
• Prior experience in server administration and cloud infrastructure management
Technical Skills
• Strong proficiency in SQL and database management (MySQL, PostgreSQL, SQL Server)
• Advanced knowledge of data modeling techniques (Star Schema, Snowflake, Data Vault)
• Expertise in at least one programming language (Python, R) for data analysis and automation
• Experience with Business Intelligence tools (Power BI, Tableau, Looker, or equivalent)
• Familiarity with ETL/ELT tools (Talend, Informatica, Apache NiFi, or custom solutions)
• Knowledge of server administration (Linux/Windows environments)
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform)
• Understanding of API development and integration patterns (REST, GraphQL)
• Proficiency in version control systems (Git) and CI/CD pipelines
• Experience with containerization and orchestration (Docker, Kubernetes) is a plus
Business & Analytical Skills
• Strong business acumen with ability to understand complex business processes
• Excellent analytical and problem-solving capabilities
• Experience with Agile/Scrum methodologies and project management frameworks
• Ability to translate technical concepts for non-technical stakeholders
• Strong documentation skills and attention to detail
• Understanding of data privacy regulations and compliance requirements (GDPR, data protection)
Soft Skills
• Excellent verbal and written communication skills
• Strong stakeholder management and interpersonal abilities
• Leadership qualities with experience mentoring junior team members
• Ability to work independently and manage multiple priorities
• Collaborative mindset with cross-functional team orientation
• Adaptability to changing business needs and technology landscapes
Preferred Qualifications
• Experience in real estate, mobility, agritech, or technology-enabled service sectors
• Knowledge of machine learning concepts and predictive modeling
• Familiarity with data warehousing architectures and dimensional modeling
• Experience with microservices architecture and event-driven systems
• Certifications in cloud platforms (AWS Certified Solutions Architect, Azure Data Engineer)
• Certifications in analytics (Google Data Analytics, Microsoft Certified: Data Analyst Associate)
• Understanding of DevOps practices and infrastructure as code (Terraform, CloudFormation)
• Experience with real-time data processing frameworks (Apache Kafka, Spark Streaming)
Key Performance Indicators
• Application uptime and system reliability metrics (99.5%+ availability target)
• Data quality and accuracy scores
• Timeliness of report delivery and insights generation
• Cost optimization achievements (cloud spend reduction, resource efficiency)
• Stakeholder satisfaction scores
• On-time delivery of development projects within budget
• Reduction in manual processes through automation
Application Process - namrata.a@genrec.ai
Interested candidates should submit:
1. Updated resume/CV highlighting relevant experience
2. Cover letter describing fit for the role
3. Portfolio or case studies demonstrating analytics projects (if available)
4. Expected salary and notice period
Click on Apply to know more.