Assistant Manager, Business Analytics

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 new 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.