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.
