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Data Business Analyst

2 months ago

Dubai, United Arab Emirates Renoir Consulting Full time

Job Description / Role:
As part of Renoir’s Digital & Data Center of Excellence The Center of Excellence (CoE) team, the Data Business Analyst will be the main liaison between the client stakeholders and Renoir’s The Center of Excellence (CoE) team. They will define data and reporting requirements from the business users and pro-actively challenge those data and reporting requirements.

The Data Business Analyst will provide a summary report in an easy-to-understand format and provide recommendations to solve business problems and improve the utilization of data across the organisation.

The Data Business Analyst will interpret data, patterns, and trends, analyse results, and use statistical techniques along with third-party solutions to provide the platform to support The Center of Excellence (CoE) team in delivering the required work. This will enable to turn data into information, information into insight and insight into business decisions through reporting visualizations.

The Data Business Analyst will create the required visualizations and dashboards in Microsoft PowerBI, Tableau or Qlik Sense.

The Data Business Analyst will ensure the data processes are aligned to the The Center of Excellence (CoE) operational model, governance, development, testing standards and deployment model. The Center of Excellence (CoE) team must also ensure that all activities related to their deliverables are aligned with Renoir’s Data Governance Model and best practices.

**Responsibilities**:

- Gather and define reporting and data requirements from business users.
- Pro-actively identify business challenges in relation to reporting and data.
- Conduct, along with the CoE team, a full lifecycle analysis to include requirements, activities, and design. The Data Business analysts will develop analysis and reporting capabilities and to identify data needs from Renoir’s clients.
- Developing and implementing data analyses, data collection systems and other strategies that optimize data efficiency and quality by using third-party system from Renoir’s vendors.
- Filter and “clean” data by reviewing system reports, printouts, and performance indicators to locate and correct data problems.
- Scrutinises information using data analysis tools to identify, analyse, and interpret trends or patterns in complex data sets.
- Present data findings or translate the data into an understandable document by creating visualizations and dashboards in Microsoft PowerBI, Tableau or Qlik Sense, to be presented to business stakeholder to help to interpret and make decisions with the data.
- Acquiring data from primary or secondary data sources and maintaining centralized databases.
- Collaborating with the CoE team and client stakeholders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
- Creating appropriate documentation that allows client stakeholders to understand the steps of the data analysis process.
- Identify new business questions that can add value to Renoir’s clients.
- Quantify benefit potential of Data Analytics solutions using ROI frameworks to aid in prioritization of development and definition with the client.

**Requirements**:

- Bachelor's degree in Computer Science, Computer Engineering or relevant field.
- At least 2 years of experience as a Data Business Analyst or Business Analyst or similar role.
- Experience utilizing one of various of the following visualization solutions: Microsoft PowerBI, Tableau or Qlik Sense.
- Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Ability to translate business requirements into technical and non-technical requirements, lay terms and draft a comprehensive document with the requirements.
- Excellent communication and client engagement skills.
- Experience in project management.
- Prior experience in a consultancy role is a plus.
- Exposure and experience in modern data technologies and cloud environments and solutions.
- Excellent organizational and analytical abilities.
- Technical expertise regarding data models and reporting packages.
- Experience working in the UI/UX landscape such as wire frames, prototypes, mock-ups, or white boarding to illustrate product usability.
- Understanding of addressing and metadata standards.
- Excellent oral and written communication skills in English.

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