Sr. Data Analyst

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Job description

What are we looking for in our Sr. Data Analyst?

Title: Data Analyst 3
Location: Beaverton, Oregon (Onsite)
Duration: 9+ Months
Rate:$35-45/hr on W2 (Depends on Experience)

JOB DESCRIPTION:

The Telecom Data Analyst is responsible for managing telecom expenses, analyzing telecom data, and maintaining accurate inventory records. This role will work closely with telecom providers and carriers, engaging with them on matters related to billing and invoicing, activating, and disconnecting services, and supporting automation integrations. The ideal candidate will have experience with IT Asset Management (ITAM), telecom invoicing, and a strong understanding of industry standards and practices.

Key Responsibilities:

• Telecom Billing & Invoicing:
o Engage with telecom providers and carriers to review and reconcile invoices for accuracy.
o Ensure timely processing of telecom invoices and resolve billing discrepancies.
o Validate and approve telecom invoices, ensuring alignment with contracted rates and usage.

• Telecom Services Management:
o Coordinate with providers to activate new services and disconnect unused or outdated services.
o Maintain an up-to-date inventory of telecom assets, including voice lines, data circuits, and other telecom services.
o Conduct audits of telecom services to validate active circuits and eliminate unnecessary costs.

• Automation & Integration:
o Collaborate with telecom providers and internal teams to integrate automated processes for billing and inventory management.
o Work with IT teams to develop and maintain APIs for billing and inventory synchronization with internal systems.

• IT Asset Management (ITAM):
o Oversee the lifecycle of telecom assets, including procurement, deployment, management, and disposal.
o Maintain accurate records of telecom assets, ensuring compliance with ITAM standards.

• Data Analysis & Reporting:
o Analyze telecom usage data to identify trends, anomalies, and cost-saving opportunities.
o Generate and present reports on telecom expenses, usage, and cost optimization strategies.

Qualifications:
• Bachelor's degree in Information Technology, Telecommunications, or a related field.
• 3+ years of experience in telecom expense management or telecom-related roles.
• Familiarity with IT Asset Management (ITAM) processes and best practices.
• Strong knowledge of telecom services, including voice lines, data circuits, and internet services.
• Experience with telecom billing and invoicing.
• Proficiency in telecom management platforms (TEM), such as Asignet, Tangoe, or similar.
• Excellent communication skills, both verbal and written.
• Strong problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Knowledge of API integrations and telecom provider systems is a plus.

Preferred Qualifications:

• Experience with automation processes related to telecom inventory and billing.
• Familiarity with telecom providers such as AT&T, Verizon, Lumen, and others.
• Strong organizational skills with attention to detail.
• Experience with Microsoft Excel and other data analysis tools.

Lead to the accomplishment of key goals across consumer and commercial analytics functions. Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations. Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language. Validate key performance indicators and build queries to quantitatively measure business performance. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers. Develop data governance standards from data ingestion to product dictionaries and documentation. Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs leveraging standard query syntax. Organize and transform information into comprehensible structures. Use data to predict trends and perform statistical analysis. Use data mining to extract information from data sets and identify correlations and patterns. Monitor data quality and remove corrupt data. Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows. Build and deliver scalable data and analytics solutions. Work independently and take initiative to identify, explore and solve problems. Design and build innovative data and analytics solutions to support key decisions. Support standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.

Russell Tobin offers eligible employee's comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Rate/Salary: $35-45/hr on W2 (Depends on Experience)

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