Key Responsibilities:
Data Analysis: Understand and address the daytoday issues faced by the
business identifying areas where data can be leveraged to improve
processes performance or strategy.
Business Insight: Collaborate with various business units to identify key
questions and issues gathering and analyzing data to uncover trends and
insights that support informed decisionmaking.
Adhoc and Recurring Analysis: Perform both recurring and ad hoc
analyses ensuring that the findings are communicated in a clear actionable
manner to business stakeholders.
Data Visualization: Develop and maintain clear and compelling data
visualizations to convey complex insights in a straightforward and accessible
format.
Data Reporting: Assist in the creation and maintenance of reports and
dashboards to monitor key performance indicators (KPIs) and other critical
business metrics.
Process Improvement: Provide recommendations based on analysis to drive
business improvements and enhance operational efficiencies.
Collaboration: Work closely with crossfunctional teams including marketing
operations and finance to support datadriven decisionmaking across the
business.
Requirements
Qualifications:
Education:
o Bachelors or Master s degree in Statistics Applied Mathematics
Computer Science or a related field or equivalent practical
experience.
Experience:
o 12 years of experience in data analysis business intelligence or a
similar field.
o Experience working with large datasets and using analytical tools to
derive insights.
Technical Skills:
o Proficiency in SQL for querying databases and performing data
manipulation.
o Familiarity with data visualization tools (e.g. Tableau Power BI or
similar).
o Strong knowledge of statistical methods and techniques for data
analysis.
o Experience with data wrangling cleaning and transformation
processes.
Additional Skills:
o Strong problemsolving skills with the ability to translate business
issues into actionable data analysis.
o Excellent communication skills with the ability to present complex data
in a clear and concise manner to both technical and nontechnical
audiences.
o Detailoriented with the ability to maintain high levels of accuracy in
data analysis and reporting.
Preferred Qualifications:
Experience with programming languages such as Python R or similar for
data analysis.
Knowledge of machine learning techniques or predictive analytics.
Familiarity with cloudbased data platforms (e.g. AWS Azure Google Cloud).
data analyst