Assistant Manager, Business Analytics

Job Description

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.

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