Campaign manager / Data Analyst Roles and Responsibilities:

• Devise B2C (business to consumer) or B2B (business to business) integrated marketing campaigns with the aim of acquiring and retaining customers.
• Manage the procedure, implementation, tracking and measurement of marketing campaigns.
• Brief and oversee the work of internal and external agencies, such as designers, animators and printers, who will deliver much of the campaign activity.
• Work within a budget and report any overspend.
• Data analysis and deriving insights and then act accordingly to help in achieving business results / objectives on a regular basis
• Deliver regular reports of campaign results, including web analysis and evaluation of KPIs.
• Maintain regular measurement of the ROI of campaigns.
• Ensure accuracy of marketing materials and provide formal sign off if necessary.
• Collect and use data to inform new campaigns and the evaluation of existing campaigns.
• Keep abreast of current trends in marketing.
• Using automated tools to extract data from primary and secondary sources
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter Data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
• Analyzing local, national, and global trends that impact both the organization and the industry
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Key Skills 

• Strong mathematical skills to help collect, measure, organize and analyze data
• Knowledge of programming languages like SQL, , R and Python
• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing
• Adept at using data processing platforms like Hadoop and Apache Spark
• Knowledge of data visualization software like Tableau, Qlik, Holistic or something similar
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Problem-solving skills
• Accuracy and attention to detail
• Adept at queries, writing reports, and making presentations
• Team-working skills
• Verbal and Written communication skills
• Proven working experience in data analysis