Data Warehouse Analyst

We are looking for a skilled Data Warehouse Analyst for our staff. To be successful in this role, you should have a variety of abilities. Design and translation of databases is a skill that allows you to recognize and resolve any issues that occur in the database, composing reports and queries, and creating scripts for the database. Additionally the job will provide support for databases to staff members as well as conduct group trainings on how to utilize the database effectively and efficiently. Experience with SQL Programming and Business Objects is imperative for this job. A strong set of Microsoft Office skills are also required for this job. Analysts in the data warehouse are expected to be able to communicate both verbally and in written form in an professional way.

This job requires that you be able to sit for a long duration of time. The job will be inside and is not affected by any weather conditions. You will form part of a team comprising three employees, including an engineer and designer in your department. You will be directly reporting on the Department Director. The company employs around 100 employees, and you'll be working closely with many of them. A bachelor's qualification from Computer Science or a related field is required, however an advanced degree is preferred. Three to five years of relevant experience is required. The position is open Monday through Friday, between 8 a.m. until 5 pm. We pay competitively and benefits package that includes dental, medical, as well as life insurance. Additionally, we provide 12 paid holidays as well as two holidays that are floating all year.

As a Data Warehouse Analyst with 9+ years of experience in the United States, your main responsibilities include:

• Designing and implementing data models, schema structures, and ETL processes to ensure efficient data extraction, transformation, and loading.This involves creating data models and schemas that support the organization's data warehousing requirements, and implementing robust ETL processes for smooth data management.
• Conducting data analysis and performance tuning to optimize data warehouse operations and ensure data accuracy and reliability.This involves analyzing large datasets, identifying trends and patterns, and fine-tuning the data warehouse infrastructure to improve performance and maintain data integrity.
• Collaborating with cross-functional teams to gather business requirements and translate them into technical specifications for data warehousing projects.This includes working closely with stakeholders, such as business analysts and developers, to understand their needs and translate them into data warehouse requirements and specifications.
• Providing technical guidance and mentoring to junior analysts, and conducting trainings and workshops to enhance data warehousing knowledge within the organization.

For a Data Warehouse Analyst job role, the following qualifications are required:

• Proficiency in SQL and database management to extract, transform, and load (ETL) data into the data warehouse, ensuring accuracy and efficiency.
• Strong analytical skills to identify data patterns, trends, and anomalies, and to develop insights and reports for decision-making purposes.
• Knowledge of data modeling techniques and experience in designing and optimizing data warehouse schemas to support business intelligence and reporting requirements.
• Familiarity with data integration and ETL tools, such as Informatica or Talend, to automate and streamline data extraction and transformation processes.

The role of a Data Warehouse Analyst with 9+ years of experience in the United States is crucial in ensuring efficient data management and analysis. For professionals in this field, here are following alternative roles worth considering:

• Data Architect: A position that involves designing and implementing data structures, data integration strategies, and data governance frameworks to support an organization's information management needs.
• Business Intelligence Analyst: A role focused on gathering and analyzing data to provide actionable insights for business decision-making. This includes designing and developing data visualizations and reports.
• Data Scientist: A position that requires advanced statistical and analytical skills to uncover trends, patterns, and correlations in large datasets. Data scientists also develop and implement predictive models and machine learning algorithms.
• Data Governance Manager: A role that ensures the proper management, quality, and security of an organization's data assets.

The demand for Data Warehouse Analysts in the United States is expected to grow significantly in the coming years. With the increasing reliance on data-driven decision-making in organizations, the role of Data Warehouse Analysts has become crucial. According to a 10-year analysis, this job role is projected to experience steady growth, with a positive outlook for employment opportunities. As per recent data points from Google, the employment opportunities for Data Warehouse Analysts are expected to increase due to the rising demand for professionals skilled in managing and analyzing large volumes of data.