Junior Data Analytics Engineer

Job Description

POSITION PURPOSE:

In office position. No opportunity for hybrid or remote. The junior data analytics engineer is responsible for the development and implementation of data solutions within our Azure, D365, and Fabric environment. This resource will play a crucial role in extracting, transforming, and loading (ETL) data, and developing reporting solutions to drive ICM’s operations. Additionally, this resource will be responsible for creating reports and must be able to perform technical/analytical work, providing insight into the efficiency and functionality of company systems. The individual must maintain a comprehensive understanding of relational database concepts, table design and structure and this knowledge should be translated and applied to the data based on business needs. This role will work alongside other technical resources and BSA staff to drive initiatives forward.

ESSENTIAL FUNCTIONS AND BASIC DUTIES:

Data Engineering

Design, develop, and maintain robust data pipelines using Fabric Data Factory or Visual Studio SSIS.

Ingest, clean, and transform data from various sources, including AX2012 and D365, into a suitable format for analysis.

Write complex SQL queries to extract, manipulate, and analyze data from relational data sources.

Participate in data conversion planning, design, development, testing and implementing

Data Modeling

Design, develop and implement data models, including dimensional and star schemas, to support business intelligence and analytics.

Create data marts and data warehouses to store and standardize data for analysis.

Data Analysis and Reporting

Utilize advanced analytics techniques, to extract valuable insights from data.

Leverage SQL to perform data exploration, analysis, and report engineering.

Develop interactive dashboards and reports using Power BI, SAP BOBJ or other visualization tools to communicate findings effectively to stakeholders.

Review, interpret, and update existing reports

Provide troubleshooting, break/fix support, and optimization of existing solutions in line with industry best practices

Ability to assist with data validation and auditing

Provide recommendations to address existing/future risk in business intelligence infrastructure

Ensure compatibility and interoperability across on-premises and cloud-based computing systems

Complete all other data analytics duties as assigned

Cloud Technologies

Leverage cloud technologies, including Azure Data Lake Storage, One Lake, and MS FABRIC, to build scalable and reliable data solutions.

Utilize Spark on MS FABRIC to perform big data processing and analysis tasks.

Collaboration and Communication

Collaborate with business systems analysts and other team members to understand business requirements and translate them into technical requirements and solutions.

Communicate complex technical concepts to both technical and non-technical audiences.

Maintain data documentation and ensure quality and accuracy

QUALIFICATIONS:

Education/Certification:

Bachelor Degree in Computer Science (or related field) required, or equivalent training and/or on-the-job experience.

Required Knowledge & Experience:

Experience developing reports

Experience working with SQL

Experience working with SSIS

Experience with data warehousing and ETL processes

Experience with Apache Spark

Strong proficiency in SQL, Python and M programming languages

Experience with data visualization tools like SAP BOBJ, Power BI, Tableau

Knowledge of cloud computing platforms, specifically Azure

Experience integrating with ERP platforms (i.e., Microsoft D365, AX2012, GP, NAV) preferred

Experience managing SQL servers, maintenance plans, alerting preferred

Extensive experience with Microsoft 365 products

Part-time