What you'll do

• Understand Business Needs & Define Data Requirements
  Meet with business teams to understand their challenges and goals.
  Work closely with the Data Product Owner (Data PO) to translate business needs into data requirements.
  Identify key metrics to measure success.
  Support the Data PO in documenting business needs and ensuring the right data is collected.

• Work with Data & Generate Insights
  Gather, clean, and analyze data from multiple sources to ensure accuracy.
  Identify trends, patterns, and anomalies in the data.
  Use visualization tools (e.g., Tableau) to present findings in an easy-to-understand format.
  Apply statistical analysis and basic machine learning techniques (if required).

• Collaborate with the Data Squad
  Work side-by-side with the Data Product Owner (Data PO) to ensure data solutions align with business needs.
  Coordinate with Data Engineers to structure and optimize data pipelines.
  Align with Data Governance teams to ensure compliance and data quality.
  Engage with Data Scientists if advanced analytics or AI/ML models are needed for a project.
  Ensure all stakeholders (business teams, IT, and analytics) work together effectively.

• Support Business Users in Making Data-Driven Decisions
  Assist business teams in using self-service dashboards and reports.
  Help non-technical users understand and interpret data insights.
  Provide training and support on analytics tools.

• Present & Communicate Insights
  Summarize findings and insights in clear and structured reports.
  Support the Data PO in preparing presentations and visualizations for business decision-making.
  Share insights in a way that is simple and actionable for business teams.

• Continuously Learn & Improve
  Stay updated on the latest tools and trends in data analytics.
  Improve processes for better data efficiency and accuracy.
  Experiment with new techniques to enhance business impact.

Apply now if you have these advantages

• 1–4 years of experience in data analysis, business intelligence, or related fields.
• Experience working in a data-driven environment (data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation) with business stakeholders.
• Data Analysis & Visualization – Experience with Tableau, Power BI, Qlik, or other BI tools.
• SQL Proficiency – Ability to query and manipulate data efficiently.
• Basic Data Processing – Experience with data extraction, cleansing, and transformation.

• Statistical Analysis – Ability to apply basic statistical techniques for insights.

• Exposure to cross-functional teams involving data engineers, data scientists, and business users.
• Experience in banking or financial services is a plus but not mandatory.

Why join Krungsri?

• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.

** Apply now before this role is close. **

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Talent Acquisition Department
Bank of Ayudhya Public Company Limited
1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120

หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ

Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.

EN (https://krungsri.com/b/privacynoticeen)

ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง

ภาษาไทย (https://krungsri.com/b/privacynoticeth)