As Global BP&A Assistant Manager - Data Solutions for our newly created Ice Cream business, you will play a pivotal role in design and delivering Data and Analytical solutions that empower business decision making and drive efficiency through automations and process re-engineering.
We are seeking a dynamic talent with strong leading-edge data & analytics skills to join the team. The successful candidate will be one who has a proven record within UniOps and/or finance and has a passion for Data modelling, simplification, data & analytics, communication, and a desire to make a meaningful impact.
KEY RESPONSIBILITIES:
This role will be instrumental in shaping a future-ready, data-driven organization by leading the technical enablement of scalable analytics and data solutions. This role will be part of high-performing, cross-functional team, working closely with Finance Business Analytics team, stakeholders, and senior leadership to establish best-in-class practices across data solutions, BI, and driving digital adoption in Finance.
- Design and implement scalable data and business intelligence solutions
- Develop and maintain robust data models to support analytics and reporting needs across organization.
- Create wireframes and prototypes for reports, dashboards, and data-driven applications to validate design concepts and gather stakeholder feedback early in the development cycle.
- Collaborate with business users and UI/UX teams to ensure visualizations and interfaces are intuitive, actionable, and aligned with user needs.
- Lead development and delivery of Analytical solutions
- Establish and enforce best practices for data governance, security, and lifecycle management
- Own end-to-end delivery of projects, ensuring timelines, quality standards, and stakeholder expectations are met
- Coordinate cross-functional teams to align on business goals, dependencies, and deliverables.
- Track and report delivery metrics, proactively identifying risks and mitigation strategies.
- Manage delivery-related financials, including effort estimation, resource planning, and budget adherence.
- Collaborate with business stakeholders to gather requirements, translate them into technical specifications, and ensure alignment with business goals.
- Mentor and guide junior engineers, fostering a culture of learning, accountability, and technical excellence.
- Facilitate communication between technical and non-technical teams, ensuring transparency and shared understanding.
- Drive continuous improvement initiatives, including automation, documentation, and process optimization.
- Champion Agile or hybrid delivery methodologies, adapting them to suit project and team needs.
- Identify opportunities to embed and leverage AI capabilities into Data solutions to improve efficiency and insight generation.
- Stay current with emerging AI trends and evaluate their applicability to ongoing projects, fostering a culture of innovation and continuous improvement.
Experiences & Qualifications
The preferred candidate would have 5-7 years in Data & Analytics with experience in Data Engineering, Business Intelligence, Data Visualization and following key skills:
Technical Skills:
- Hands-on with Azure ecosystem like Data Factory, Synapse, Databricks, and Data Lake.
- Good understanding of data modelling and building clean, scalable pipelines.
- Experience with ETL tools and integrating data from multiple sources.
- Strong knowledge of data management, data warehousing, and big data technologies.
- Proficiency in data analytics tools and programming languages such as Python, R & SQL
- Strong knowledge of data visualization tools such as Power BI, Figma, Paginated Reports or similar.
- Familiar with data security, governance, and compliance standards.
- Experience in performance tuning and cost optimization
- Proven ability to establish, lead and develop high-performing teams.
- Familiar with Agile methods , project planning, and managing timelines.
- Experience in developing Web applications will be an added advantage
Must have competencies
- Can work well with stakeholders and business teams.
- Leads and mentors team members effectively.
- Strong in communication and solving real-world problems.
- Passion for high performance
- High level of integrity and professionalism.
- Strategic thinker with a proactive approach.
- Ability to work collaboratively with cross-functional teams.
- Excellent organizational and time management skills.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Strong problem-solving and analytical skills.
Educational Qualification:
Engineering or an equivalent degree from a reputed university with proven track record.
REPORTING STRUCTURE The role will report to Global BP&A Data Solutions Manager.