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Data Analyst

Yoma Bank
| Yangon
Verified This job has been verified by the company as a real job vacancy.
16 May 2018
Recruiter active 8 hours ago The recruiter at this company was last active reviewing applications.
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Data Analyst

Yoma Bank
Recruiter active 8 hours ago The recruiter at this company was last active reviewing applications.
Myanmar - Yangon
Verified This job has been verified by the company as a real job vacancy.

Experience level

Experienced Non-Manager

Job Function

Finance, Accounting, Audit

Job Industry

Banking/ Insurance/ Microfinance

Min Education Level

Bachelor Degree

Job Type

Full Time

Job Description

An Exciting Opportunity for ...

ROLE PURPOSE
The primary purpose of this role is to support the project teams with required data and analysis to help make better business decisions. The successful candidate will turn data into information, providing insights that will enable management to make data-driven business decisions.

RESPONSIBILITIES
- Mining, gathering and processing of data as well as translating it into compelling graphics and clear narrative

KEY ACCOUNTABILITIES / REQUIREMENTS:
- Understand business and technology requirements and translate them into data requirements.
- Develop, manage and monitor Extract Transform and Load (ETL) processes for financial related data.
- Help implement next generation of data warehouse systems.
- Work closely with development, support, DBA and business teams.
- Deliver data acquisition, transformations, cleansing, conversion, compression, and loading of data into a variety of data models.
- Work on normalization and performance tuning of analytics processes.
- Collaborate with internal & external stakeholders to deliver results while meeting deadlines.
- Ability to source data from multiple systems and sources using tools such as SQL scripts

Open To

Male/Female

Job Requirements

Education & Experiences
Essential
- Completion of tertiary qualifications in a business or related field such as Bachelor of Business, Management, Commerce, Finance, Accounting, Economics and/or industry
specific qualifications.
- At least three years of experience in data analytics role.
- Strong knowledge and experience with data modeling, database design, complex SQL queries and query optimization is a must.
- Good understanding of statistical analysis. Experience in testing design and measurement.
- Experienced with ETL and/or other Big Data processes.
- Experienced in implementing database security models, performance tuning, replication, fail over, high availability.
- Experienced in developing distributed multi-threaded systems.
- Understanding in key infrastructure components such as databases, SFTP servers, and other parts of the stack.

Desirable
- Experience in the financial industry is a plus.

Knowledge and Skills
Essential
- Team player with excellent interpersonal skills and integrity.
- A high energy, self-motivated individual, who can collaborate with cross-functional teams with minimal supervision to deliver results.
- Able to execute and manage multiple initiatives and deliverable simultaneously while meeting deadlines.
- Creative, analytical, problem solving and decision making abilities, which include the ability to make independent decisions, while knowing when to bring certain matters to
the attention of management.
- Excellent under pressure and can adapt quickly in an evolving environment.
- Ability to identify process improvement opportunities.
- Possesses strong interpersonal, communication, and negotiation skills and the capability to interact with all levels of staff and with external vendors
- Flexible and available for a regular work and non-regular work (evenings and weekends) schedule as needed

Languages
Essential
- Effective communication skills - both written & oral.

What We Can Offer

Benefits

- Annual bonus
- Ferry provide
- OT payment

Highlights

  • An awesome company
  • Join a winning team
  • You can make a difference

Career Opportunities

  • Opportunities for promotion
  • Possibility for job training
  • Learn new skills and techniques