Job Description

About the company:

Cotan Energy is a photovoltaic (PV) systems integrator and developer based in Singapore, providing PV engineering, supply, installation, and supporting services to the private and government sectors.

Cotan runs works from energy generation to storage and versatile expenditure, enabling homeowners, businesses, and utilities to manage sustainable energy generation, storage, and consumption. Combining safety, performance, and efficiency, beginning with solar to bridge the gap between the new age of energy advancements and anyone who wants to get onboard to a better, brighter future. to reset the world\xe2\x80\x99s expectations of sustainable energy.



About the role:

Data Analysis: Collect and analyze marketing data from various sources, including digital marketing platforms, website analytics, CRM systems, and social media. Clean, preprocess, and manipulate data to ensure accuracy and reliability. Use statistical techniques and data visualization tools to uncover insights and trends.

Campaign Performance Analysis: Evaluate the effectiveness of marketing campaigns, including online advertising, email marketing, social media, and content marketing.

Monitor key performance indicators (KPIs) such as conversion rates, click-through rates, and return on investment (ROI). Identify areas for improvement and provide recommendations to optimize campaigns.

Market Research: Conduct market research to understand customer behavior, preferences, and trends. Analyze competitor data and market conditions to identify opportunities and threats. Assist in the development of customer personas and target audience segmentation.

Reporting and Dashboards: Create and maintain marketing dashboards and reports using tools like Google Analytics, Tableau, or Power BI. Generate regular reports for marketing teams and stakeholders, summarizing key findings and actionable insights.

A/B Testing: Collaborate in designing and executing A/B tests to assess the impact of marketing changes. Analyze test results and provide recommendations for optimizing marketing strategies.

Customer Journey Analysis: Map and analyze the customer journey to understand touchpoints and conversion pathways. Identify areas where the customer experience can be improved.

Predictive Modeling: Assist in developing predictive models to forecast future marketing trends and customer behavior. Use machine learning algorithms to segment customers and personalize marketing efforts.

Marketing Strategy Support: Collaborate with marketing managers and teams to develop data-driven marketing strategies. Help in setting marketing goals and objectives based on data insights.

Tools and Technology: Familiarize yourself with marketing analytics tools, CRM systems, and data analytics software. Stay updated on industry trends and emerging technologies in marketing analytics.

Documentation: Document analysis methodologies, findings, and insights for future reference and knowledge sharing.

Students we are looking for:

Willingness to learn

Initiative-driven to get tasks done effectively and efficiently

Creative problem-solving skills

Eager and passionate to learn more about the industry and develop their understanding of different fields

Bold and willing to take initiative to think outside of the box to ideate

Good time management and organisational habits

Requirements:

Previous internship experience in Data Analytics, Computer Science or other related field is an advantage

Experience in data analysis, visualisation and reporting \xe2\x80\xa2 Basic competency in PowerBI for data visualisation and reporting

Basic competency in one or more additional scripting or statistical programming languages (e.g. SQL, Python, Pandas, R, etc.) for data manipulation

A highly effective communicator with the ability to influence outcomes and convey complicated analytical conclusions to technical and non-technical audiences

Candidates who are available for an internship of minimum 6 months

Local and International students are welcome to apply!

Part-time interns during the school semester are also accepted.

Work Week:

Working Hours: 40 hours a week

Location: 33 Ubi Ave 3 #06-71 Vertex (Tower A) S (408868)

Application Instructions

Please apply for this position by submitting your text CV using InternSG.
Kindly note that only shortlisted candidates will be notified.

InternSG