Latest Jobs at Asset & Resource Management Holding Company

Job Objective(s)

• Responsible for developing actionable insights that drive both strategic and operational decision making.

Duties and Responsibilities

• Identify data requirements and acquire data from primary or secondary data sources for reporting and descriptive analytics
• Filter and “clean” data by reviewing to identify anomalies or outliers
• Interpret data, analyze results using analytical techniques and provide ongoing reports
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs
• Automate existing management reports to improve the speed from raw data to actionable insights for decision making.
• Support the data warehouse in identifying and revising reporting requirements.

Requirements
Education:

• Bachelor’s Degree from an accredited university
• Relevant experience or Bachelor’s Degree in Mathematics, Economics, Engineering, Computer Science, Information Management or Statistics

Experience:

• At least 2 years of experience working with databases, scripting and visualisation tools and building analytics reports.
• Expertise regarding data modelling, database querying, reporting and visualisation.
• Strong knowledge of and experience with reporting and visualisation tools (PowerBI etc), databases (SQL server etc).
• Basic knowledge of statistics and statistical techniques for analyzing datasets
• Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy
• Adept at queries, data visualisation, report writing and presenting findings
• Knowledge of Data science concepts and programming tools such as Python will be an advantage.

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Job Objective(s)

• Responsible for building data pipelines that make data more reliable and relevant for descriptive and advanced analytics (data science) use cases. Will work closely with the data analysts, data scientists and business to understand data requirements.
• Responsible for developing and maintaining central storage locations specifically designed to support analytics needs. Will work closely with the data architect to develop and maintain the ETL and architecture blueprints designed by the data architect.

Duties and Responsibilities

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, refining infrastructure for greater scalability.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Aggregating data into new or existing data warehouses or central data staging areas.

Requirements
Education:

• Bachelor’s Degree from an accredited university
• Relevant experience or Bachelor’s Degree in Mathematics, Economics, Engineering, Computer Science, Information Management or Statistics

Experience:

• At least 2 years working with databases, data warehouses and ETL tools on-prem and cloud.
• Experience building and optimizing data pipelines, architectures and data sets from large, disconnected datasets.
• Strong analytic skills related to working with structured and unstructured datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Advanced working SQL knowledge and experience working with relational and NoSQL databases.
• Experience with data pipeline and workflow management tools: SSIS, Azure Data Factory (ADF) etc.
• Experience with Azure cloud services: ADF, Synapse etc. will be an advantage
• Experience with any object-oriented languages e.g. Python, C# etc. will be an advantage
• Experience with big data tools: Hadoop, Spark, Kafka, etc. will be an advantage
• Knowledge of Data science concepts will be an advantage.

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Job Objective(s)

• Responsible for managing data governance initiatives to ensure data is timely, relevant and reliable to effectively support descriptive and advanced analytics (data science) use cases.

Duties and Responsibilities

• Participate in the application and deployment of data policies and processes and their continued enforcement to include areas such as data ingestion, data quality, master data and data life cycle management.
• Responsible for applying data governance framework including the management of data, operating model, data policies and standards as well as the application of clearly defined data management definitions.
• Apply a data governance framework, with a focus on continued improvement of data quality and strict adherence to the agreed Trust and Classification processes.
• Follow the guidelines related to data governance and data quality and ensure clear accountability. In addition, he/she will have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies.
• Deliver status updates on data quality by updating a Data Quality dashboard
• Operate data remediation plans where data fails to meet required standard:
• Monitoring data quality process, identifying data quality issue patterns, applying remediation plans, implementation of data controls, and manage data quality remediation strategies.

Requirements
Education:

• Bachelor’s Degree from an accredited university
• Relevant experience or Bachelor’s Degree in Mathematics, Economics, Engineering, Computer Science, Information Management or Statistics

Experience:

• At least 2 years of experience implementing data governance and working with governance and reporting tools
• Understanding of Master Data Management technology landscape, processes and design principles
• Operational familiarity in the use of meta-data management, data quality, and data stewardship tools and platforms
• Experience in the use of data catalogues and data quality technologies
• Hands-on operational management and change management.
• Demonstrated experience in developing and operationalizing data-based guidelines, policies, procedures, and standards,
• Demonstrated ability to build cross-functional relationships that result in adoption of organizational change
• Experience in managing enterprise data assets in a large, complex organization
• Knowledge of Data science concepts and programming tools such as Python will be an advantage.
• Good written and verbal communication.