Senior Specialist Marketing Analytics

Job Responsibilities:

•  Collect, aggregate, and analyze data from multiple internal and external

• sources to drive insights into business performance.

•  Design, develop and automate data tools and dashboards that enable self-

• service frameworks for the data consumers.

• Interpreting data, analyzing results using statistical techniques that translate

• data into actionable insights that power marketing strategies.

• Implement data hygiene, data standardization and data transformation that

• optimizes other data processes.

• Understand business questions, audience use cases and translate business

• requirements into technical design and specifications.

• Work with Marketing specialists to form creative data solutions to support

• experimentation via test design and statistical analysis.

• ·Perform on-going validation of metrics definitions and define new metrics

• required to aid successful business measurement.

• Identifying new opportunities to automate reports, dashboards, data

• management processes, current operations and show root cause analysis of problems.

Minimum Qualifications Required:

• Bachelor’s Degree in Data Analytics, Statistics, Data Science or Engineering.

• 7+ years of relevant experience in Data Analytics, Business Intelligence,

• Data Science, Marketing Analytics.

•  Proficient in reporting and data visualization tools such as Tableau, Google

• Data Studio, experience with Digital analytics tools such as Google

• Analytics.

• Experience with SQL, Relational Database management systems and

• Cloud Databases (GCP).

• Experience in predictive, prescriptive analytics, web analytics, statistical

• modelling, and intervention measurement methodologies such as causal

• impact analysis, geo testing, A/B testing, regression analysis etc.

• Experience with programming skills such as R, Python, JavaScript.

Preferred Qualifications:

• Good to have knowledge of Digital Marketing platforms, Salesforce CRM.

• Strong problem-solving and analytical skills, especially around data acquisition, transforming data into information.

• Ability to learn new technical skills quickly and with little guidance.

• Self-motivated, intellectually curious, and highly skilled at providing

• actionable insights from a combination of data sources

• (Structured/Unstructured).