NetElixir - Principal Data Consultant

Principal Data Consultant

NetElixir Hyderabad, Telangana, India (On-site)

About NetElixir:

NetElixir is a global digital marketing firm headquartered in Princeton, NJ. With a common goal of helping our customers and challenging ourselves to think differently, we face challenges and tackle them together as a team. We are a close-knit group of imaginative and friendly industry experts who bring our unique passions and personalities together to find creative solutions that drive results.

With offices in the US and India, NetElixir works persistently gathering, evaluating, computing, and formulating raw data and turning it into actionable insights for our customers. We work consistently to develop new technology that will improve and facilitate digital marketing efforts across the globe.

Role Overview:

- As a Principal Data Consultant at Netelixir, you will play a key role in leveraging data-driven insights to enhance our clients' digital marketing strategies.

- You will be responsible for analyzing large datasets, implementing advanced analytics techniques, and providing actionable recommendations to optimize digital marketing campaigns.

- Your expertise will be instrumental in shaping data-driven decision- making processes and driving the success of our clients' digital marketing initiatives.

Key Responsibilities:

- Data Analysis and Interpretation: Analyze large and complex datasets to extract meaningful insights related to consumer behavior, market trends, and digital marketing performance.

- Interpret data and provide clear, concise, and actionable recommendations to optimize digital marketing strategies.

- Advanced Analytics: Utilize statistical and machine learning techniques to develop predictive models and customer segmentation strategies.

- Apply data mining methods to discover patterns and trends that can inform marketing strategies and enhance campaign performance.

- Data Visualization: Create visually appealing and easy-to-understand dashboards and reports to communicate data insights effectively to clients and internal stakeholders.

- Use tools like Tableau, Power BI, or other visualization tools to present data-driven stories.

- Client Collaboration: Work closely with clients to understand their business objectives, challenges, and key performance indicators (KPIs).

- Collaborate with cross-functional teams to align data analysis with the client's digital marketing goals.

- Technical Proficiency: Stay updated with the latest tools, technologies, and trends in data analysis, machine learning, and digital marketing.

- Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling tasks.

- Strategy Development: Contribute to the development of data-driven digital marketing strategies, encompassing SEO, SEM, social media, email marketing, and other online channels. Provide strategic recommendations to improve campaign performance, user experience, and overall online presence.

- Performance Monitoring: Implement tracking mechanisms and analyze key metrics to monitor the performance of digital marketing campaigns.

- Conduct A/B testing and other experiments to evaluate the effectiveness of various marketing strategies and tactics.

- Documentation and Reporting: Document data analysis methodologies, findings, and recommendations for internal knowledge sharing and future reference.

- Prepare detailed reports and presentations to update clients on the progress of their digital marketing initiatives.

Qualifications:

- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Marketing, or a related field.

- Proven experience in data analysis, statistical modeling, and machine learning techniques.

- Strong proficiency in programming languages such as Python, R, or SQL.

- Experience with data visualization tools like Tableau or Power BI.

- Knowledge of digital marketing concepts and strategies.

- Excellent communication skills and ability to convey complex data insights to non-technical stakeholders.

- Strong problem-solving skills and attention to detail.

- Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Experience:

- 5+ years of experience in data analysis and modeling, preferably in the digital marketing industry.

- Demonstrated success in applying data-driven insights to improve digital marketing campaign performance.