A day in your life might include:
Partner with Data Engineer(s) to identify and fill potential gaps/ issues in current data infrastructure to increase data integrity and reliability across the organization
Be responsible for driving data practice adoption across Timo through development of self- service capabilities, user adoption of enterprise business intelligence portal and other form of data services
Perform in- depth consumer data analysis, and drive actionable insights.
Collaborate with business leaders to evaluate and, where necessary, re- define key metrics for tracking, reporting, and analysis.
Be responsible for the overall usability of Timo business intelligence system across all business domains, departments, clusters.
Design, build and deploy elegant BI solutions (e.g. reporting tools) to enable data- informed decisions and meaningful monitoring / analyses of metrics across the organization.
Develop and execute database queries and conduct analyses
Mine and analyze large- scale data sources (both structured and unstructured) to uncover insights, issues and opportunities and recommend solutions.
How to succeed in this Role:
Focus on Impact: Prioritize tasks and projects based on their potential impact on the organization, focusing on those that offer the most significant value.
Innovate and Solve Problems Creatively: Utilize innovative and creative thinking to solve complex problems and uncover new opportunities through data.
Uphold Data Integrity and Governance: Champion data quality, integrity, and governance within the organization.
Have a Deep Business Acumen: Understand the industry deeply and how data drives business outcomes. Use this knowledge to influence strategy and decision- making.
Manage Projects Efficiently: Demonstrate strong project management skills, including the ability to manage multiple projects simultaneously and drive them to completion.
Possess Strong Technical Proficiency: Have advanced expertise in data analysis tools and programming languages such as SQL, Python as well as in data visualization tools.
Excel in Communication: Possess exceptional communication skills to articulate complex data insights to both technical and non- technical stakeholders effectively.
Demonstrate Advanced Analytical Skills: Exhibit mastery in handling complex data analyses and deriving actionable insights from large datasets.
Promote a Culture of Data- Driven Decision Making: Encourage and facilitate the use of data in strategic decision- making processes across the organization.
Collaborate Across Functions: Work collaboratively with various departments (IT, Marketing, Sales, etc.) to ensure data needs are met and insights are integrated into all aspects of the business.
