Data Analyst

About Ascendion

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

The main function of this role is to create PBI dashboards which pull data from various sources including Azure DevOps (ADO), Excel and cross-org databases, and convert manual processes into live data visualization. This role will also maintain existing dashboard backend in ADO, fix bugs and create reporting to meet business needs.

Job Title

Data Analyst

Key Responsibilities

• Work with senior management, technical and client teams to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage, and analysis strategies
• Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
• Design, implement, automate, and maintain large-scale enterprise data ETL processes
• Modify existing databases and database management systems and/or direct programmers and analysts to make changes
• Test programs or databases, correct errors, and make necessary modifications

Minimum Qualifications

• PowerBI coding experience - 3-5years
• database: 3-5 years;
• Azure Devops: 3-5 years
• Experience with database technologies
• Knowledge of the ETL process
• Knowledge of at least one scripting language
• Strong written and oral communication skills
• Strong troubleshooting and problem-solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data-driven decisions

Desired Qualifications

• Must have sufficient knowledge and experience using  Power Platform including Power Apps, Power BI, as well as Azure DevOps, SharePoint and more.
• Bachelor's degree in a technical field such as computer science, computer engineering, or related field required
• 2-4 years applicable experience required

Location

Remote

Salary and Other Compensation:
The annual [salary/hourly rate] for this position is between [$90,000 - 110,000 annually]. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits:The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [life insurance] [long-term disability insurance] [short-term disability insurance]. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!