Data Analytics and Reporting Subject Matter Expert (SME)

What We're Looking For

• 2-5 years of Data Analytics experience.
• Experience in Python and/or other data scripting languages.
• Experience utilizing a business intelligence visualization tool (Cognos, Tableau, Power BI, etc.).
• Experience in querying and analyzing and working with data languages and platforms to investigate large and diverse data sets.
• Demonstrated ability to learn and apply newly emerging data analytic toolkits depending on the problem statement.
• Possess analytical strength and curiosity to understand and explain questions and observations in data.
• Ability to work in a fast-paced environment where you will need to solve unique problems with creative and efficient solutions.

Preferred Qualifications

• At least 2 years of experience coding in SQL.
• At least 2 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
• At least 1 year of experience utilizing and developing within a cloud environment (AWS/Azure preferred).
• At least 1 year of experience working with and demonstrating knowledge of data governance, data quality management concepts, and data quality tools.
• At least 1 year of experience in Microsoft Power Platform (Power BI, Power Automate, etc.).
• At least 2 years of experience supporting contracts or working within a contractual or client-based services environment, including adherence to SLAs, performance metrics, and regulatory requirements.
• Demonstrated leadership experience, including leading projects, mentoring junior analysts, or serving as a functional or technical lead on cross-functional initiatives.
• Experience working directly with executive or senior leadership to define reporting needs, present insights, and influence decision-making.
• Strong stakeholder management experience with the ability to balance competing priorities, deadlines, and business needs.
• Experience working in highly regulated environments (healthcare, government, public sector, or similar preferred).
• Proven ability to work independently in a remote environment while maintaining accountability, communication, and productivity.

What You Should Expect

• This is a remote position.
• The position supports the Anchorage, Alaska office, thus you must be willing to work from 8AM-5PM AKST.
• Employee must have a minimum speed of 24MBS download and 8MBS upload for Broadband Internet connections.
• Video cameras must be used during all interviews, as well as during the initial week of orientation.
• The deadline to submit applications for this posting is 7/30/2026.
• The pay range for this position is $69,400.00 - $99,200.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors.

Benefits

• All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance.
• We also have a variety of leadership and technical development academies to help build your skills and capabilities.

About the Role

Collaborate with team members and stakeholders to define key business metrics and gather requirements for which insights should be made available at scale.

Architect data pipelines, design, and build new dashboards for stakeholders to address their needs.

Maintain and improve existing data infrastructure and dashboards based on evolving business requirements.

Publish and maintain clear documentation to inform and educate users at scale, gather feedback to identify opportunities for improvement.

Identify ways to streamline and improve the efficiency of our data.

Implement changes to our infrastructure (optimize SQL queries and data workflows) to improve the landing time of our data.

Work with cross-functional teams including to identify data needs and gaps and align on solutions.

Lead projects end to end, see around corners, and provide thought partnership to your team.

Deliverables align with contractual obligations, service-level expectations, and business outcomes.

Partner with leadership to identify data-driven improvements, surface risks or issues, and support solution-based initiatives and transformational projects.

Provide insights, recommendations, and proactive guidance based on data trends and performance metrics.

Support operational and strategic decision-making through clear communication of complex data concepts to both technical and non-technical audiences.