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).