Data Analyst

hace 20 horas

Desde casa, Colombia Chronos Agency A tiempo completo

**KEY RESPONSIBILITIES**
- Mine data and analytics at the customer level to gain a better understanding of their usage behaviors, including impacts of current marketing strategies.
- Utilize non-individual level measurement methods when applicable, like market-level testing, to help understand the impact of marketing spend and the related return it can drive.
- Use sophisticated modeling techniques such as causal inference to undercover insights related to user behavior.
- Collaborate closely with Applied Sciences to understand the ins and outs of various machine learning models, as well as help, understand their performance and areas of improvement.
- Work closely with the paid and CRM marketing teams and be responsible for campaign pre and post-analysis, cohorting, experiment design, segmentation, KPI measurement, and more.
- Collaborate on cross-functional project planning/prioritization meetings, business partner meetings, data prioritization meetings, etc.
- Choose the accurate metrics for tracking and understanding current and future experiments.
- Implement and analyze A/B or Multivariate Tests to provide measurable insights to the marketing team on the test data.
- Present findings to senior management to drive business and marketing decisions.
- Develop dashboards that provide reliable insights and visualization.

**QUALIFICATIONS**
- Marketing/product data science or consulting experience
- Bachelor’s degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)
- M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields - a minimum of 1+ years of industry experience required
- Must be from digital agency background
- Paid Media experience (ie. Programmatic, Facebook, Paid Search, Youtube, Audio, etc)
- Advanced experimentation experience including multivariate and causal analysis
- AdTech experience is a plus
- Solid understanding of source data, its strengths, weaknesses, semantics, and formats
- Solid knowledge of logical and physical data modeling concepts (relational and dimensional)
- Advanced SQL expertise
- Basic understanding of experimental design (such as A/B experiments) and statistical methods
- Ability and experience in extracting insights from data, and summarizing learnings / takeaways
- Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)

**ENJOY THESE BENEFITS**
- Full-time remote work setting
- Paid Time Off (30 days annually)
- Observance of public holidays
- Internet Allowance
- Health and Wellness Allowance
- Technology Benefit
- Maternity and Paternity Benefit
- Loyalty Rewards
- A library of internal resources and training
- Performance-based Incentives and Bonuses
- Bi-annual all-expenses-paid company workation
- Outcome-focused Environment
- Hear what our employees say about working with us (link)

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