Data Analyst
We are a dynamic marketing agency specializing in customer retention and customer analytics.
Our goal is to provide actionable insights that drive our clients' growth and success.
Join our team as a Data Analyst, where you'll harness the power of data to uncover actionable
insights and deliver exceptional results for our clients. You'll manage and analyze complex
datasets, using innovative tools and methods, all while collaborating with a passionate team
dedicated to excellence. If you're detail-oriented, love working with data, and are excited about
making a real impact, we want to hear from you!
Mission for Data Analyst
To transform raw data into actionable insights to drive strategic team decisions and
client success through:
1. Data Collection and Management
2. Understand and implement of TACT Data standards and SOPs
3. Insight Generation
4. Advanced Analysis and Reporting
5. Innovation in Data Practices
6. Accuracy and Detail
Data Collection and Management:
- Gather, clean, and maintain comprehensive databases from various sources to ensure
accurate and organized data for analysis.
Data management standards:
- Follow current data documentation and SOPs, guarantee data presentation standards.
Find and implement improvement opportunities in SOP and data documentation.
Insight Generation:
- Analyze data to uncover actionable insights and trends that drive strategic decisions and
enhance marketing strategies for client success.
Advanced Analysis and Reporting:

- Utilize complex formulas and advanced analytical methods to create detailed reports and
visualizations that communicate findings effectively to stakeholders.
Innovation in Data Practices:
- Implement new tools and methodologies to improve data organization, efficiency, and
depth of analysis, staying ahead of industry trends.
Ensure Report Consistency:
- Perform essential repetitive monthly tasks such as verifying and duplicating templates to
maintain data integrity and streamline reporting processes.
Accuracy and Detail:
- Ensure the precision and reliability of data through meticulous attention to detail,
maintaining high standards of accuracy and consistency in all analyses.
Apply DOD TACT Philosophy:
- Understand and actively implement the "Definition of Done" (DOD) and TACT principles
to ensure clarity and quality in project deliverables.
Key Responsibilities:
● Data Gathering: Collect and compile data from various sources on our marketing
platform.
● Database Management and presentation: Create and maintain comprehensive
spreadsheet databases, ensuring data is organized and easily accessible.
● Data Organization: Sort and structure data in an efficient manner to facilitate analysis.
● Accuracy Assurance: Regularly review data for accuracy and completeness, correcting
any inconsistencies.
● Insights and Opportunities: Analyze data to identify trends, opportunities, and
actionable insights that can improve our marketing strategies.
● Spreadsheet Proficiency: Work extensively in Google Sheets and Excel, managing
complex spreadsheets and creating new ones as needed. Reference several sheets to
main templates.
● Advanced Formulas: Utilize and develop complex formulas to support data analysis
and reporting.
● Communication: Clearly communicate findings and insights to both technical and
non-technical stakeholders.
● Innovation: Propose and implement new methods of data organization and analysis to
enhance efficiency and insight generation.
● AI Tools: (Preferred) Use AI tools to derive deeper insights from data and to generate
new data sets.

Qualifications:

● Experience: Proven experience in data analysis, preferably within a marketing or
customer analytics context.
● Attention to Detail: exceptional attention to detail and a meticulous approach to data
management.
● Technical Skills:
● Proficiency in Google Sheets and Excel and familiarity with complex spreadsheet
functions.
● Ability to handle and interpret large datasets.
● AWS, JSON, SQL Server not necessary but a plus
● Communication: Excellent written and verbal communication skills in English.
● Innovation: Ability to suggest and implement new data organization methods and tools.
● AI Tools: Experience with AI tools for data analysis and insight generation.