[Hiring] Data Analyst @Ascendion

Role Description

• Integrating raw sources of data from multiple sources and transforming it into exportable files for data pipeline consumption.
• Ensure digital campaigns (Google, Meta, TikTok, Twitter, etc.) are set up correctly with proper tracking and tagging (UTMs, pixels).
• Identifying issues or inconsistencies across marketing platforms and fixing tracking or attribution problems.
• Ensuring clean, consistent, and trustworthy data across platforms and reports.
• Analyzing campaign performance (CTR, CPC, ROAS, CPA, etc.) to help identify trends and improvement areas.
• Supporting A/B testing and experimentation with data-driven insights.
• Recommending optimizations to targeting, spend, and creatives based on real-time performance.
• Develop, maintain, and scale reporting dashboards and data pipelines to monitor performance of global paid media campaigns across channels (e.g., display, video, search, and affiliate).
• Partner with stakeholders across marketing, analytics, and product teams to define KPIs and develop metrics frameworks that support customer acquisition goals.
• Perform deep-dive analysis on paid media effectiveness and customer behavior to identify growth opportunities and present actionable insights.
• Ensure data accuracy, integrity, and governance across multiple sources including campaign management tools, internal data lakes, and third-party platforms.

Qualifications

• Deep understanding of data validation techniques and discrepancy reconciliation.
• Proficient in SQL, data modeling, and querying large-scale datasets.
• 3–5+ years of experience in data analysis, marketing analytics, or data engineering, preferably in a digital media or e-commerce environment.
• Experience with data visualization tools such as Tableau, QuickSight, or Power BI.
• Strong understanding of marketing analytics, including paid media attribution, funnel metrics, CAC/LTV, and ROI measurement.
• Demonstrated ability to manage multiple projects and deadlines in a fast-paced, cross-functional environment.

Requirements

• Experience working with Google Ads, Meta Ads, TikTok Ads, or similar platforms.
• Solid knowledge of UTMs, pixels, Google Tag Manager, and campaign tracking tools.
• Expertise with data tools such as Excel/Google Sheets, including PowerQuery, VBA, SQL or BigQuery.
• Familiarity with analytics tools like AppsFlyer, Branch, Power BI, or Tableau.
• Strong attention to detail and a problem-solving mindset.
• Ability to communicate clearly with marketing and technical teams.

Education Qualification

• Bachelor’s degree in Business, Marketing, Analytics, Computer Science, or related field.
• 3–5+ years of experience in data, marketing analytics, or data engineering, preferably in a digital media or e-commerce environment.
• Proficient in SQL, data modeling, and querying large-scale datasets.
• Experience with data visualization tools such as Tableau, QuickSight, or Power BI.
• Strong understanding of marketing analytics, including paid media attribution, funnel metrics, CAC/LTV, and ROI measurement.
• Demonstrated ability to manage multiple projects and deadlines in a fast-paced, cross-functional environment.