Research and Data Analyst

About The Role:

The Research and Data Analyst will work with our clients to gather, analyze, evaluate, and organize their data from various sources and systems. You will be working closely with business stakeholders to understand their data and make recommendations on how they can use their data effectively.
You are comfortable with working with data coming from different sources and systems and have a deep understanding of how the data can be used or manipulated to get the desired results or outcomes.
Need someone who can help with a variety of analytical and research tasks which also involves tasks such as scraping data from different sites (using a Chrome extension tool) and doing analysis on this data based on instructions provided by us. Need to be able to operate independently and work things out. Must be highly proficient in using Excel, fluent verbal/written communicator, and problem solver. You will be required to take an Excel test as part of the assessment.

Please watch this video for more of an overview of the role: Upgrade to see actual info/share/5a5fa40b4fbf43f09cbc42505b66318c

Responsibilities:
a) Researching market trends, conducting surveys, analyzing data from competitors, and analyzing the business's operations, expenditures, and customer retention to identify patterns of potential issues or improvements
b) Using data analysis and interpretations to guide the decision-making of the business
c) Using operations data to develop pricing models and identify areas for improvement
d) Using statistical, economic, and data modeling techniques and tools
e) Organizing and analyzing data, creating charts and graphs, and presenting your findings to the leadership team
f) Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends

Requirements:
1. Bachelor’s Degree in Engineering, Marketing, Business Administration / Management, Data Science and Analytics
2. Have 3-5 years of progressive experience in data analysis
3. Possess strong knowledge of Excel (formulas and pivot table)
4. Experience with digital analytical tools (Prefers Looker Studio)
5. Have a strong knowledge of working with data from databases and source systems
6. Be experienced in collaborating with business and IT teams
7. Possess strong problem-solving skills
8. be experienced in writing instructions to solve problems
9. Have strong knowledge of reporting and dashboards
10. You will be working with an Australian team which means the work hours will be similar to PH time.

How to apply:
To apply please send an email describing no more than 3 research tasks you've done recently that have required advanced use of Excel as well as in the subject header or start the message with "ATAUDA0310" and send an email to Upgrade to see actual info