Senior Data Analyst

We are currently seeking a Senior Data Analys<\/b><\/span><\/span> to join our team. The ideal candidate will have a strong background in data analytics \u2014 ranging from data mining and generation to visualization. In this role, you will be instrumental in transforming complex data into meaningful insights that inform strategic business decisions. You\u2019ll work closely with cross\-functional teams, contribute to the development of analytical frameworks, and support the growth of junior analysts by nurturing a culture of curiosity, excellence, and continuous improvement. <\/span><\/span><\/span><\/span>
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YOUR MAIN DUTIES: <\/b><\/span><\/span><\/span><\/span>
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Support Strategic Decision\-Making:<\/b><\/span><\/span><\/span><\/span>
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Collaborate closely with internal stakeholders to facilitate data\-driven business decisions<\/span><\/span><\/span><\/span><\/span>
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Analyze and interpret data to provide actionable insights that align with the company's strategic goals<\/span><\/span><\/span><\/span>
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Reporting and Metric Maintenance:<\/b><\/span><\/span><\/span><\/span>
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Maintain and enhance reporting systems, dashboards, and performance metrics crucial for informed decision\-making<\/span><\/span><\/span><\/span><\/span>
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Ensure the accuracy and relevance of key performance indicators (KPIs) and metrics<\/span><\/span><\/span><\/span>
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Digital Marketing Analysis:<\/b><\/span><\/span><\/span><\/span>
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Execute in\-depth analysis of conversion\-oriented digital marketing initiatives<\/span><\/span><\/span><\/span><\/span>
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Identify areas for improvement and make data\-backed recommendations to enhance marketing effectiveness<\/span><\/span><\/span><\/span>
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Insights Communications: <\/b><\/span><\/span><\/span><\/span>
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Effectively communicate insights and recommendations derived from data and observed trends to both business and management teams<\/span><\/span><\/span><\/span><\/span>
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Collaborate to develop strategies for driving sales and profitability growth across various products and markets<\/span><\/span><\/span><\/span>
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Data Visualization:<\/b><\/span><\/span><\/span><\/span>
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Transform data and insights into compelling narratives using clear, insightful, and scalable visualizations<\/span><\/span><\/span><\/span>
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Create visually appealing dashboards and reports to convey complex information concisely<\/span><\/span><\/span><\/span>
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Monitoring and Metrics Management:<\/span><\/span><\/b><\/span><\/span>
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Develop and maintain insights dashboards sourced from various data streams<\/span><\/span><\/span><\/span>
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Monitor and report on critical metrics essential for optimizing business operations<\/span><\/span><\/span><\/span>
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Data Integration and Exploration:<\/span><\/span><\/b><\/span><\/span>
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Proactively identify new data sources and under\-leveraged datasets for integration into analysis<\/span><\/span><\/span><\/span><\/span>
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Enhance the understanding of business dynamics by exploring comprehensive data sources<\/span><\/span><\/span><\/span>
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Reporting and Documentation:<\/b><\/span><\/span><\/span><\/span>
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Prepare and deliver daily, weekly, and monthly reports, as well as presentation materials, as required by stakeholders<\/span><\/span><\/span><\/span><\/span>
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Maintain clear and organized documentation of data analysis processes and findings<\/span><\/span><\/span><\/span>
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Requirements<\/h3>
English fluency is a must. Exceptional communication and storytelling skills \u2014 both written and verbal. Ability to communicate insights clearly to both technical and non\-technical stakeholders<\/span><\/span><\/span><\/span>
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5+ years<\/span><\/span><\/b> of hands\-on experience in data analysis, preferably in performance marketing, ad tech, or affiliate marketing<\/span><\/span><\/span><\/span>
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Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Data Science, Economics, Business, Engineering, or a related quantitative field<\/span><\/span><\/span><\/span>
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Familiarity with Tableau is a must<\/span><\/span><\/span><\/span>
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High level of competencies in Microsoft Excel and Powerpoint<\/span><\/span><\/span><\/span>
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Knowledge of programming (Python) and query language (SQL)<\/span><\/span><\/span><\/span>
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Database knowledge of AWS RDS (MySQL) is a must<\/span><\/span><\/span><\/span>
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Strong statistical knowledge (hypothesis testing, A/B testing, regression analysis)<\/span><\/span><\/span><\/span>
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Excellent problem\-solving skills and ability to turn business questions into data queries and insights<\/span><\/span><\/span><\/span>
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Industry\-specific KPIs (marketing and subscription businesses)<\/span><\/span><\/span><\/span>
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Professional, detail\-oriented, and a strong sense of ownership and mentorship<\/span><\/span><\/span><\/span>
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Nice to have:<\/span><\/span><\/i><\/b><\/span><\/span>
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Experience with CLV, predictive CLV, etc.<\/span><\/span><\/span><\/span>
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Knowledge of AWS Glue, Athena, S3, Lambda, AWS CLI<\/span><\/span><\/span><\/span>
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Benefits<\/h3>
An environment with high energy, flat hierarchy, positive attitude, and growth you would expect from a startup coupled with all of the security and benefits of an established company<\/span><\/span><\/span><\/span>
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Competitive salary and flexible work life balance<\/span><\/span><\/span><\/span>
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Paid annual leave and sick leave<\/span><\/span><\/span><\/span>
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Fun team building activities including annual company trip, parties and other benefits<\/span><\/span><\/span><\/span>
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To work in a role that has a global scope for a company that has an international presence<\/span><\/span><\/span><\/span>
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An inclusive environment of friends who happen to work together<\/span><\/span><\/span><\/span>
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And much more<\/span><\/span><\/span><\/span>
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APPLICATION:<\/span><\/span><\/b><\/span><\/span> Interested candidates please send your CV via email: <\/span><\/span><\/span><\/span>careers@adstartmedia.com<\/a><\/u><\/span><\/span><\/b><\/span><\/span>
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We thank all candidates of interest. However, only the shortlisted will be contacted. For more information, please also find us on our <\/span><\/span><\/i><\/span><\/span>LinkedIn<\/u><\/span><\/span><\/i><\/span><\/span><\/a> and <\/span><\/span><\/i><\/span><\/span>Fanpage<\/u><\/span><\/span><\/i><\/span><\/span><\/a>
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