Operations Data Analyst at Collinson

Purpose of the job

In this role, you will play a pivotal role in the creation of the dashboarding and KPI reporting used within Global Operations. Supporting operational efficiency and excellence across consumer, client, partner, and finance departments. You will leverage your data analysis skills and strategic thinking tdrive improvement initiatives, ensure data integrity, and inform strategic decision-making within the team.

Key Responsibilities

Master data management:

• Lead and oversee the establishment and maintenance of accurate and consistent master data across all operational departments.
• Define and implement data governance policies and procedures.
• Identify and resolve data quality issues, ensuring data integrity and consistency.

Data Development:

• Create, maintain and support ETL (Extract, Transform and Load) from operational systems such as FreshDesk, AWS Connect, etc. intcentral SQL Server repository tthen be used in operational reporting.

Data visualization:

• Develop and utilize data visualizations tcommunicate complex operational data and insights tstakeholders.
• Translate data intactionable insights tidentify trends, root causes of issues, and opportunities for improvement.
• Create dashboards and reports tmonitor key performance indicators (KPIs) and track progress towards goals.

Strategic thinking:

• Analyze operational data tidentify areas for improvement, cost reduction, and process optimization.
• Collaborate with cross-functional teams timplement operational improvement initiatives.

Additional responsibilities:

• Support the development and implementation of operational excellence initiatives.
• Track and measure the impact of improvement initiatives.
• Maintain strong relationships with internal and external stakeholders.

Knowledge, skills and experience required

Qualifications:

• Bachelor's degree in Business Administration, Data Science, Statistics, or a related field.
• Demonstrable of experience in a data analysis.
• Strong analytical and problem-solving skills, with a demonstrated ability tidentify trends and root causes from data.
• Excellent communication and presentation skills, with the ability tcommunicate complex data insights tboth technical and non-technical audiences.
• Experience in Python development and SSIS
• Proficient in data analysis tools such as Microsoft SQL Server, Excel, Power BI and/or Tableau.
• Experience with master data management principles and practices is a plus.
• Understanding of the travel perks industry is a benefit.
• Strong teamwork and collaboration skills.