Assistant Manager, Business Analytics

Reporting and Analytics:

• Dashboard Report Design:

  Develop andmaintaincomprehensive dashboards and reports to monitor KPIs andprovideactionable insights to stakeholders.

• Ad Hoc Analysis:

  Perform analyses to address specific business questions, support decision-making, andidentifyimprovement 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, ensuringtimelyreporting 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:

  Utilizestatistical methods and machine learning techniques to create models thatanticipatebusiness 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 tofacilitatedecision-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:

  Maintaindata 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

  :Identifydiscrepancies between actual and projected performance and recommend corrective actions.

Driving Business Outcomes:

• Strategic Insights:

  Use data analytics to inform strategic initiatives,optimizeproduct 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 isrequiredto understand technical aspects of data and operations.

• MBA Preferred:

  An MBA is preferred todemonstrateadvanced 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:

  Strongproficiencyin 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 andutilizenew 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 andtimelyexecution.

Analytical and Problem-Solving Skills:

• Process-Focused:

  Excellent analytical and problem-solving abilities witha keenattention 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.