Marketing Data and Insights Specialist

1 month ago

pune, India DNV Full time

DNV's Maritime Communications and Marketing team reinforces DNV's thought leadership and accelerates revenue generation within a maritime industry that shift towards a digital, efficient, and eco-friendly future. Comprising over 20 international professionals, our team handles strategy, marketing communication, digital communications and employee communications.

The Digital Marketing & Sales Enablement team leads DNV Maritime's digital marketing initiatives, focusing on generating valuable digital leads and revenue through a digital commerce approach. We collaborate with our global sales and business development organization to optimize the end-to-end lead and digital commerce process.

We are seeking an ambitious, digitally-savvy Global Marketing Data and Insights Specialist located in Pune, India, and reporting to the Head of Marketing Technology and Insights. 

The global digital marketing and sales enablement team is spread across four locations – Oslo, Hamburg, Singapore and Pune. As part of the professionalization and scaling efforts we are looking to build a team as part of the existing global digital marketing and sales enablement team driving our operational proficiency, develop our technology landscape and drive our data-driven marketing ambitions.

Main responsibilities:

Acts as a champion for a consistent data strategy across multiple technologies, building a robust data lake on the basis for holistic reporting and analytics. Work with data analysis tools and build reporting dashboards to gather insights informing outreach strategies, aimed at increasing customer conversions. Analyze, and interpret marketing data from various sources such as CRM, Web analytics, social media platforms and marketing automation. Share recommendations to optimize marketing campaigns, including digital advertising, email marketing, SEO/SEM, and social media, to improve ROI and performance measurement. Track KPIs and build performance metrics to evaluate the campaign effectiveness by developing and implementing a clear data harvesting, aggregation and analytics strategy. Utilize statistical models and forecasting techniques to predict market trends, customer behavior, and potential outcomes of digital marketing performance. Collaboration across the teams and hierarchies to enable the diverse insights and reporting needs with standard reports and dashboards. Develop and maintain marketing analytics dashboard for building the DNV business segments data model in different platforms like Azure data factory, Tableau, Power BI. Flexible work arrangements for better work-life balance.  Generous Paid Leaves (Annual, Sick, Compassionate, Local Public, Marriage, Maternity, Paternity, Medical leave). Medical benefits ( Insurance and Annual Health Check-up). Pension and Insurance Policies (Group Term Life Insurance, Group Personal Accident Insurance, Travel Insurance). Training and Development Assistance (Training Sponsorship, On-The-Job Training, Training Programme) . Additional Benefits (Long Service Awards, Mobile Phone Reimbursement). Company bonus/Profit share.

*Benefits may vary based on position, tenure/contract/grade level*

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity. 5-7 years of experience in marketing databases, analytics, insights & dashboards. Experience using data and metrics to measure impact and determine improvements. Experience with digital marketing tools, lead management and sales funnel. Expertise in data analysis tools (GA4, Power BI, Big Data, SQL, Excel, Python, R).  Experience in programming and programming language is a plus. Understanding of marketing principles, digital marketing channels, and campaign strategies. Ability to translate data insights into actionable marketing strategies and recommendations. Bachelor's or Graduate's Degree in business, computer science or engineering.

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