Specialist – Data Visualization and Insights

16 أكتوبر، 2022

0 4 5 دقائق

Job Description

Job Description
This Role will be responsible for managing and implementation of BI & Dashboard projects to be implemented in PowerBI (Cloud platform). The BI & Data will consist of multiple concurrently running major BI Projects with their own project implementation cycles.
The purpose of this role is to implement multiple BI & Data Analytics projects by working with key stakeholders specially Finance teams. The job holder will manage all future major/minor development enhancement and define architectural requirements in BI and Analytics.
The role requires job holder to be a creative thinker and able to propose innovative ways to look at business problems by using data mining (the process of discovering new patterns from large datasets) approaches on the set of Information available. They will need to validate their findings using an experimental and iterative approach. Also, Lead Data Scientist will need to be able to present back their findings to the business by exposing their assumptions and validation work in a way that can be easily understood by their business counterparts.
Lead Data Scientist will need a combination of business focus, strong analytical and problem solving skills and statistical programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the data science projects. Excellent written and communications skills to report back the findings in a clear, structured manner are required.
Finally lead data scientist will be primary owner for the implementation of the approved corporate Analytics strategy with an aim to develop actionable insights that continuously optimize business decisions.
Strategic responsibilities

Develop & conceptualize sophisticated & innovative analytical solutions that integrate diverse information assets available at First Abu Dhabi Bank to achieve incremental revenue or reduction in the costs or mitigating the financial risks.
Lead the discovery process for the analytics opportunities with the institutional stakeholders to identify the business requirements and the expected outcome.
Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
Define standard metrics and KPIs for measuring the success of all analytics engagements undertaken and establish processes to measure them.
Educate the organizational colleagues from both IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of analytical results. Helps the organization understand the principles and the math behind these statistical processes to drive the organizational adoption.

Core responsibilities

Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.
Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, Unstructured data sources such emails, log files, social media etc.
Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit.
Recommend & Implement ongoing improvements to methods and algorithms that lead to findings, including new information & patterns in the data.
Establish conducive ecosystem for analytics using tools, processes, vendors etc. within the bank that will enable adoption of analytics across the organization.
Play the role of bank wide machine learning and Artificial Intelligence expert to use these techniques to solve the real business problems.

People Management responsibilities

Coach & groom the data scientists in the team on gaining knowledge & skills on the principles of analytics techniques, problem solving, project management, client relationship management & team work skills. Conduct regular reviews with team members.
Responsible to hire, train, motivate and continuously develop skillsets of the data scientists in the team.
Define goals and key performance indicators for each member of data science team and coordinate the performance management review process for the team.
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, dashboard development and technology management. Required
Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in the following required:
5+ years of hands-on experience in design and development of dashboard, reports, data model using Power BI, particularly Power BI Cloud based development
Extensive experience of working with products like Microsoft SQL Server Analysis Services (SSAS) tabular Cube development, String SSIS and Server Reporting Services (SSRS)
Very strong SQL skills for querying and creation of views/tables, functions and stored procedures
Experience in Data Warehouse, ETL processing, Tabular models, DAX and M query
Experience with Multidimensional concepts, data modeling and MDX query
Development or Coding experience with C#, Web API, .Net, Powershell, SQL NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
Exposure to working/ building cubes for huge datasets (required)
Knowledge of Visual Studio
Working experience in banking sector or in a leading solution vendor for banking products.(required)
Working experience within Finance team (desirable)
Exploratory data analysis experience
Strong written and verbal communication skills
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Knowledge of the following to facilitate the development of custom visuals: (desirable)
TypeScript development tools
D3 JavaScript libraries
ScalableVectorGraphics(SVG
Data Visualization(Power BI)
Unstructured data(SAS text analyzer)
PowerBI or any reporting tools

Qualifications
Minimum Qualifications:

Master's in Business Administration from top B Schools.
Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
Additional degree or certifications in the field related to the data science/Analytics is preferred.

Minimum Experience:

Minimum 6+ years of experience in managing a large Analytics or BI function in a financial services organization.
Typically 5 or more years of relevant quantitative and qualitative research and analytics experience.

Knowledge, Skills, and Attributes:
Knowledge and Skills

Ability to independently manage analytics engagements from start to finish, delivering
actionable insights within established timelines and budget.
Excellent understanding of machine learning and Artificial Intelligence(AI) techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, Deep Learning etc.
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
Use problem solving methodologies to propose creative solutions to solve business problem. Recommend design and develop state-of-the-art data driven analysis using statistical & advanced analytics methodologies to solve business problems.
Strong programming skills and hands on experience on statistical modelling packages (like SAS, R or Python).
Strong communication skills with ability to expresses technical and business concepts, ideas, feelings, opinions, and conclusions verbally and in writing. Listens attentively and reinforces words through empathetic body language and tone.
Experience leading teams.
In-depth industry/business knowledge.

Attributes

Change Advocate: Identifies and acts upon opportunities for continuous improvement. Encourages prudent risk-taking, exploration of alternative approaches, and organizational learning.
Conceptual & Innovating Thinking: Synthes facts, theories, trends, inferences, and key issues and/or themes in complex and variable situations. Recognizes abstract patterns and relationships between apparently unrelated entities or situations.
Leadership: Leads members of formal and informal groups in the pursuit of common
Missions, vision, values and mutual goals. Places team needs and priorities above personal needs. Involves others in making decisions that affect them. Draws on the strengths of colleagues and gives credit to others contributions and achievements.