Senior Data Analyst

Hybrid in Greenwood Village, CO (4 days onsite per week)

Final Interview is Onsite

Our client is seeking a Senior Data Analyst to join a mobile insights team driving analysis across emerging 5G and mobile technologies. The group focuses on mobile customer experience and includes data engineers and data scientists, offering a collaborative environment with opportunities across the data lifecycle.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $65-78hr W2

• Collaborate with stakeholders to gather requirements and determine feasibility of analysis.
• Extract and analyze data from various sources using statistical techniques and provide reporting.
• Capture and document requirements in Jira.
• Review solutions to ensure requirements are met.
• Respond to data inquiries from teams within the organization.
• Work daily within AWS services including EMR, Lambda, S3, Step Functions, and Athena.
• Support high-priority analysis and ad hoc requests with quick turnaround for stakeholders.
• Connect data sources and reconcile data across multiple systems.

• Advanced SQL with big data focus, including experience working with hundreds of millions of rows.
• Experience with business intelligence solutions and development lifecycle.
• Experience with data visualization tools such as Tableau.
• Experience with AWS using Python or PySpark; SQL executed in Python/PySpark.
• Experience with Hadoop and distributed data processing.
• Strong relationship building and collaboration skills across cross-functional teams.
• Effective written and verbal communication and ability to tailor presentations to audiences.
• Experience leveraging and reconciling data across multiple source systems.
• Ability to translate business requirements into SQL and understand existing SQL.
• Strong analytical skills, problem-solving, and attention to detail.
• Experience with ad hoc queries and SQL development.
• Telecom or WiFi domain knowledge preferred.
• Machine learning experience preferred.

Please be advised
- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an  email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.