Data Analyst - Team Coke
Do you thrive on turning raw data into actionable insights? Are you passionate about leveraging data to drive strategic decisions and optimize performance?
Team Coke is seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. In this role, you will play a crucial part in transforming data into valuable information that fuels our marketing and sales strategies. You will be responsible for collecting, cleaning, analyzing, and visualizing data from various sources to identify trends, patterns, and opportunities for growth.
Responsibilities:
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Data Collection & Processing:
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Collect data from diverse sources, including internal databases, CRM systems, market research, and web scraping.
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Cleanse, validate, and transform raw data into usable formats for analysis.
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Data Analysis & Visualization:
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Conduct exploratory data analysis to identify trends, patterns, and anomalies.
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Develop and implement statistical models to analyze data and generate insights.
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Create compelling data visualizations (e.g., dashboards, reports, presentations) to communicate findings to stakeholders.
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Insight Generation & Reporting:
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Translate complex data analyses into clear, concise, and actionable insights.
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Prepare and present data-driven reports to internal teams and clients, highlighting key findings and recommendations.
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Collaboration & Communication:
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Collaborate effectively with cross-functional teams, including marketing, sales, and IT.
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Communicate technical information to both technical and non-technical audiences.
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Continuous Improvement:
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Stay abreast of industry best practices and emerging data analysis techniques.
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Proactively identify opportunities to improve data quality, analysis processes, and reporting.
Desired Skills and Experiences:
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Essential:
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Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
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2+ years of proven experience as a Data Analyst or in a similar role.
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Strong proficiency in SQL for data extraction and manipulation.
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Expertise in data visualization tools such as Tableau or Power BI.
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Experience with data scraping techniques and tools.
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Excellent analytical and problem-solving skills.
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Strong communication (written and verbal) and presentation skills.
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Ability to work independently and as part of a team.
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Desirable:
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Experience with Python or R for data analysis and automation.
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Familiarity with cloud computing platforms (e.g., AWS, Azure).
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Knowledge of marketing and sales principles.
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Experience working with large datasets.
Benefits:
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Competitive salary and benefits package.
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Opportunity to work with a global brand and make a real impact.
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Collaborative and supportive work environment.
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Opportunities for professional development and growth.
