Marketing Analytics Specialist
Mumbai, India
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Corsearch
Combining AI-fueled technology and decades of expertise, Corsearch is revolutionizing how companies establish and protect their brands.
At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.
As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.
Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.
Why Choose Corsearch?
- Innovative Solutions: We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
- Global Impact: Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
- Collaborative Culture: With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive.
- Mission-Driven Purpose: Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.
✅The Role
Corsearch is seeking a highly analytical and data-driven Marketing Analytics Specialist to join our growing marketing team. In this pivotal role, you will be responsible for measuring, analysing, and reporting on the effectiveness of our marketing initiatives. You will translate complex data into actionable insights, helping us optimize our strategies, improve ROI, and drive pipeline growth.
This is an exciting opportunity for someone passionate about data and its power to inform strategic decisions within a dynamic and fast-paced environment. You will work closely with marketing, sales, and product teams to ensure our efforts are aligned with business objectives and delivering maximum impact.
✅Responsibilities and Duties
Data Collection & Management:
- Collect, clean, and integrate marketing data from various sources including CRM (Salesforce), marketing automation platforms (Pardot), Google Analytics, social media platforms, advertising platforms (Google Ads, LinkedIn Ads), and other relevant tools.
- Ensure data accuracy, consistency, and integrity across all reporting systems.
Performance Analysis & Reporting:
- Develop and maintain with marketing operations a comprehensive marketing dashboards and reports to track key performance indicators (KPIs) such as website traffic, lead generation, conversion rates (MQL to SAL, SAL to Opportunity, etc.), campaign ROI, customer acquisition cost (CAC), and customer lifetime value (CLTV).
- Analyse marketing campaign performance, identifying trends, opportunities, and areas for improvement.
- Provide regular, actionable insights and recommendations to optimize marketing spend and improve overall effectiveness.
Attribution Modeling:
- Work with marketing operations and regional marketing on developing and refining marketing attribution models to accurately measure the impact of different marketing touchpoints on pipeline and revenue.
Forecasting & Budgeting Support:
- Assist marketing operations in developing marketing forecasts and budget allocations based on historical data and projected performance.
Collaboration & Communication:
- Collaborate closely with marketing team members (content creators, demand generation specialists, marketing operations, and product marketing) to understand their data needs and provide relevant insights.
- Present findings and recommendations clearly and concisely to various stakeholders, including non-technical audiences.
Tool Management & Innovation:
- Stay up to date with the latest marketing analytics tools, technologies, and best practices.
- Identify and recommend new tools or processes to enhance our analytics capabilities.
✅Essential
- Bachelor's degree in marketing, Business, Statistics, Economics, Computer Science, or a related quantitative field.
- 2+ years of experience in a marketing analytics or similar data analysis role, preferably within a B2B SaaS or technology environment.
- Proficiency with marketing analytics platforms (e.g., Google Analytics 4, Adobe Analytics).
- Strong experience with CRM systems (Salesforce preferred) and marketing automation platforms (Pardot strongly preferred).
- Demonstrable experience with data visualisation tools (e.g., Google Looker Studio).
- Advanced Excel/Google Sheets skills (pivot tables, VLOOKUPs, formulas, data modeling).
- Solid understanding of digital marketing channels (SEO, SEM, social media, email marketing, content marketing) and their respective metrics.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Ability to translate complex data into clear, concise, and actionable insights for various audiences.
- Strong communication and presentation skills.
- Self-motivated, proactive, and able to manage multiple projects simultaneously in a fast-paced environment.
✅Desirable skills/experience
- Experience with SQL for data extraction and manipulation.
- Familiarity with Python or R for statistical analysis.
- Experience with multi-touch attribution models.
- Knowledge of the intellectual property or legal tech industry.
Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported.
We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, criminal histories consistent with legal requirements or any other protected characteristic.
Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Economics Excel KPIs Looker Python R Salesforce SQL Statistics
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