Marketing Intelligence & Data Analytics Specialist

Marketing Intelligence and Data Analytics Specialist helps decision-making, enhances customer experiences, and targets marketing and sales efficiency and business growth by interpreting complex data sets.

1. Strategic Decision-Making: Specialist provides the groundwork for strategic decision-making by uncovering trends and insights that can guide business strategies and improve outcomes.
2. Improving Efficiency: By identifying areas of inefficiency within operations, data analysts help organizations streamline processes, reduce costs, and increase productivity.
3. Enhancing Customer Experiences: Analyzing customer data allows businesses to understand customer behaviors and preferences, leading to improved products and services.
4. Risk Management: Data analysis helps identify potential risks and challenges, enabling businesses to devise strategies to mitigate these risks.
5. Execution: Perform necessary actions based on results from data analytics and decisions made with teams (using CRM tool), feed related department with decisions and analytics.

Role and Responsibilities:

1. Data Quality and Integrity

• Ensure that data is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
• Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors

2. Collecting Data from Various Sources

• Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.

3. Developing and Supporting Reporting Processes

• Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
• Identify opportunities for process enhancements
• Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes

4. Developing Automated Processes for Data Scraping

• Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability.

5. Interpret Data

• Detect, examine, and decode trends or patterns within intricate datasets
• Employ statistical techniques to scrutinize data and produce actionable business insights
• Your analyses will help extract meaningful insights and trends, which can then inform business decisions and strategies
• Develop data dashboards, charts, and visual aids to support decision-making across departments

6. Performs Complex Analyses

• Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights

7. Maintaining Databases

• You will be entrusted with the responsibility of managing and updating databases to ensure they are secure, accessible, and functioning properly. Your role is crucial in supporting ongoing data storage and retrieval needs.

8. Collaboration

• Coordinate with management to align business and informational priorities
• Collaborate with the management team to determine and rank the needs of different business units

Requirements:

1. Three or more years of experience mining data as a data analyst
2. Possess a solid foundation in data analysis and practical experience with statistical software (such as Excel, SPSS, SAS) and strong skills in data analysis languages including SQL, Python.
3. Experience with database and model design and segmentation techniques (especially RFM)
4. Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics or a comparable discipline or background is required, with prior experience in data analysis or a related field being advantageous.
5. Capable of critically evaluating data to derive meaningful, actionable insights for marketing and sales growth. A marketing background is plus.
6. Experience in a CRM tool is plus, such as Salesforce.
7. Knowledge of financial markets, trading, Forex, CFD, etc. is a plus.