Assistant Manager, Business Analytics (Bengaluru)

Reporting and Analytics: - Dashboard Report Design: Develop and maintain comprehensive dashboards and reports to monitor KPIs and provide actionable insights to stakeholders. - Ad Hoc Analysis: Perform analyses to address specific business questions, support decision-making, and identify improvement opportunities within the renewable energy sector. - Trend Identification: Analyze large datasets to uncover trends, patterns, and anomalies, enabling proactive resolution of potential business challenges. Financial Data Management: - Accounts Receivable Payable: Manage and analyze AR/AP processes, ensuring timely reporting and resolution of past due accounts. - Receivables Optimization: Implement strategies to enhance cash flow efficiency and reduce outstanding debts. - Accounting Reconciliation: Conduct detailed reconciliation reporting, resolve variances, and ensure financial data accuracy. Data Analysis and Interpretation: - Data Processing: Collect, process, and analyze large datasets related to sales, operations, and financial performance. - Insight Generation: Translate complex data findings into actionable insights for technical and non-technical stakeholders. Model Development: - Data Models Algorithms: Develop and implement models and algorithms to support data analysis and predictive analytics. - Predictive Analytics: Utilize statistical methods and machine learning techniques to create models that anticipate business trends and enhance operational efficiency. Data Visualization: - Visual Communication: Create compelling visualizations and reports using tools like Tableau or Power BI to effectively communicate data findings. - Stakeholder Engagement: Present data insights clearly to facilitate decision-making among diverse audiences, including executive leadership. Collaboration: - Cross-Functional Teams: Partner with finance, operations, marketing, and IT to understand data needs and gather requirements. - Scalable Solutions: Deliver scalable data solutions that support strategic initiatives and business growth. Data Quality Assurance: - Data Validation: Develop and implement processes to ensure data quality and integrity. - Data Governance: Maintain data governance standards, ensuring compliance with organizational policies and industry regulations. Business Reporting Support: - Comprehensive Reporting: Provide financial, operational, and strategic reporting tailored to Enphase s needs. - Variance Analysis: Identify discrepancies between actual and projected performance and recommend corrective actions. Driving Business Outcomes: - Strategic Insights: Use data analytics to inform strategic initiatives, optimize product lines, and enhance operational efficiency. - Outcome Measurement: Track and measure the impact of data-driven initiatives to ensure alignment with organizational goals. Who You Are and What You Bring Educational Background: - Bachelor s Degree in Engineering : A solid engineering foundation is required to understand technical aspects of data and operations. - MBA Preferred: An MBA is preferred to demonstrate advanced business acumen, strategic thinking, and leadership capabilities. - Academic Performance: Must have scored 60% or above in all major academic examinations, reflecting consistent academic performance and dedication. Professional Experience: - Overall Experience: Minimum of 5+ years of relevant work experience in data analytics, reporting, and dashboard creation. - Specialized Experience: At least 2 years in financial data management, including Accounts Receivable, Accounts Payable, and reconciliation reporting. Technical and Analytical Skills: - Data-Driven Mindset: Strong proficiency in data analytics tools such as SQL, Python, Tableau/Power BI, and Excel. - Technical Expertise: Hands-on experience with relational databases (e.g., MySQL, PostgreSQL) and data warehousing solutions. - Quick Learner: Ability to rapidly understand and utilize recent data analysis and reporting tools effectively. Project Management: - Proven Track Record: Successful experience managing priorities, risks, and deadlines across multiple parallel workflows, schedules, and deliverables. - Launch Coordination: Ability to manage and coordinate data-driven projects, ensuring cross-functional alignment and timely execution. Analytical and Problem-Solving Skills: - Process-Focused: Excellent analytical and problem-solving abilities with a keen attention to detail. - Business Judgment: Strong business acumen and comfort with making data-driven decisions and insights. Communication and Interpersonal Skills: - Effective Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. - Collaboration: Proven ability to collaborate effectively with cross-functional teams, including Engineering, Accounting, and Operations. .