Enterprise BI Analytics Engineer

Overview:

As an Analytics Engineer, you will contribute to the analytics engineering function at National Debt Relief, optimizing existing analytics and BI data pipelines, data transformations, and Python automation scripts. This role requires a technically skilled individual with strong business acumen who can work closely with business stakeholders and the Analytics & BI team to deliver clean, accurate data rapidly. As NDR builds out a cloud data warehouse and implements an enterprise BI platform, you will help in the migration of the analytics layer to the data warehouse and support the team in enhancing technical skills.

 

 

Responsibilities:

• Optimize and maintain analytics and BI data pipelines, ensuring efficient data processing and transformation.
• Develop and manage data transformations, API calls, and automation scripts.
• Ensure the performance, scalability, and reliability of analytics infrastructure.
• Monitor and troubleshoot data pipelines and workflows to identify and resolve issues.
• Follow and enforce best practices for data governance, security, and quality management.
• Build and maintain the analytics layer in the cloud data warehouse, ensuring data accuracy and availability.
• Assist in the migration of the analytics layer to the DW back-end via SQL.
• Stay current with emerging technologies and industry trends, incorporating new tools and techniques as appropriate.

Qualifications:

NDR role qualifications:

• Bachelor’s degree required with a degree in Data Science, Computer Science, Engineering, or a related field preferred.
• 4+ years of experience in analytics engineering, data engineering, or a related field.
• Proficiency in SQL and Python, with experience in developing and optimizing data pipelines.
• Experience with API development and integration preferred.
• Experience with cloud data warehouses such as Snowflake, Azure, Redshift, or GCP. Snowflake preferred.
• Experience building dashboards in an enterprise business intelligence platform such as Sigma, Tableau, or similar. Sigma preferred.
• Strong understanding of data integration, transformation, and visualization.
• Experience in building analytics layers in practical implementations.
• Strong business acumen with the ability to translate business requirements into technical solutions.
• Knowledge of data governance, security, and quality management practices.
• Excellent problem-solving skills and attention to detail.
• Strong project management skills, with the ability to manage multiple priorities and deliverables.
• Experience in financial services or a related industry.
• Front line client-facing experience.
• Familiarity with machine learning and AI concepts.
• Computer competency and ability to work with a computer.
• Prioritize multiple tasks and projects simultaneously.
• Exceptional written and verbal communication skills.
• Punctuality expected, ready to report to work on a consistent basis.
• Attain and maintain high performance expectations on a monthly basis.
• Work in a fast-paced, high-volume setting.
• Use and navigate multiple computer systems with exceptional multi-tasking skills.
• Remain calm and professional during difficult discussions.
• Take constructive feedback.

About National Debt Relief:

 

 

National Debt Relief was founded in 2009 with the goal of helping an expanding number of consumers deal with overwhelming debt. We are one of the most-trusted and best-rated consumer debt relief providers in the United States. As a leading debt settlement organization, we have helped over 450,000 people settle over $10 billion of debt, while empowering them to lead a healthier financial lifestyle and feel free to live their best life. At National Debt Relief, we treat our clients like real people. Our purpose is to elevate, empower, and transform their lives.

 

Rated A+ by the Better Business Bureau, our goal is to help individuals and families get out of debt with the least possible cost through conducting financial consultations, educating the consumer and recommending the appropriate solution. We become our clients' number one advocate to help them reestablish financial stability as quickly as possible.

 

National Debt Relief is a certified Great Place to Work®!

Forbes names National Debt Relief Best Debt Settlement Company of 2024!

Fortune names National Debt Relief Among Best Workplaces in New York!

3X Award Winner for Best Customer Service, Best Experience with Staff, and Best for Transparency by Consumer Affairs!

Compensation Information: Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for each position across the US. Within the range, individual pay is determined by work location, job-related skills, experience, and relevant education or training. This good faith pay range is provided in compliance with NYC law and the laws of other jurisdictions that may require a salary range in job postings. The salary for this position is $111,500 to $134,500 Benefits:

National Debt Relief is a team-oriented environment full of rewards and growth opportunities for our employees. We are dedicated to our employee's success and growth within the company, through our employee mentorship and leadership programs.

 

Our extensive benefits package includes:

• Generous Medical, Dental, and Vision Benefits
• 401(k) with Company Match
• Paid Holidays, Volunteer Time Off, Sick Days, and Vacation
• 12 weeks Paid Parental Leave
• Pre-tax Transit Benefits
• No-Cost Life Insurance Benefits
• Voluntary Benefits Options
• ASPCA Pet Health Insurance Discount

 

National Debt Relief is a certified Great Place to Work®!

 

National Debt Relief is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other status protected by law.

 

For information about our Employee Privacy Policy, please see here
For information about our Applicant Terms, please see here

 

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