Data Analyst Intern

A data analyst Intern to become a key member of the operations team supporting
data management, streamlining, archiving, visualization, analysis, and problem
resolution. This person will work closely with all administrative departments
and the operations team to ensure the integrity of the data.
This is a position that will require a high level of trust, professionalism,
and communication.
Job Location: Dubai, Abu Dhabi - UAE
Education: Degree in data analytics, business administration, economics,
accounting, or a related discipline
Company:
Alpin Limited is a multidisciplinary sustainable cleantech consultancy based
in Masdar City, Abu Dhabi.
The local team is composed of a diverse range of experts who lead their
respective fields, including LEED APs, PQPs, official Estidama trainers,
commissioning authorities (CxA), construction managers, MBAs, and building
physics PhDs. We also have commissioning authorities and consultants based in
Munich, London, New York City, and other prominent global locations.
Our current projects include: The Abu Dhabi midfield Terminal Building, The
Msheireb urban redevelopment project, Johnson Controls Research Center, SKMC
Dialysis Center, Sowwah Square Abu Dhabi and several other high profile
projects in the EU and GCC.
www.alpinme.com

Roles and Responsibilities:

• Using automated tools to extract data from primary and secondary sources


• Removing corrupted data and fixing errors and related problems


• Developing and maintaining databases, data systems - reorganizing data in a readable format


• Performing analysis to assess quality and meaning of data


• Knowledge of data visualization software, preferably Power BI


• Filter Data by reviewing reports and performance indicators to identify patterns, or problems


• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for decision making


• Ability to research market trends, and monitor data patterns for business-related decision making


• Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.


• Preparing reports for the management stating trends, patterns, and predictions using relevant data


• Working with Operations, Business Development, Accounts, and HR leaders to identify process improvement opportunities, propose system modifications, and devise data governance strategies.


• 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.


• Formatting and proofreading of data, documents and Power Point presentations;


• Design and standardization of forms and formatting in Word, PowerPoint, Excel.


• Strong mathematical skills to help collect, measure, organize and analyze data


• Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
  HSE Roles, Responsibilities and Accountability:


• In addition to your responsibility towards following ALPIN 's Integrated Management System, every employee at ALPIN is required to familiarize themselves with ALPIN's Environmental Impact Assessment and contribute towards minimizing their individual environmental impact in the course of their work;


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  It is the duty of all employees to act within the legal responsibilities imposed upon them and the Company's Quality, Environment and Health & Safety policies. All employees must familiarize themselves with the Company's Integrated Management System's policies and procedures.
  Skills:

  
  


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  Excellent communication and presentation skills

  
  


• Creativity, accuracy and attention to detail


• Having a systematic and logical approach to problem-solving


• Team working skills


• Excellent command of English language (spoken and written);


• Advanced verbal and written communication skills;


• Very high proficiency in Microsoft Office (Outlook, Word, Excel, PowerPoint);


• Knowledge of statistics and experience using statistical packages for analyzing datasets;


• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant; amounts of information with attention to detail and accuracy;


• Self-starter who needs minimal supervision and does not mind managing their own work.