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Senior Analytics Manager Jobs in Raleigh, NC (NOW HIRING)

Bandwidth

Sr. Analytics Engineer

Raleigh, NC · On-site

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the ... and lifecycle management. You will also provide analytics-facing leadership for Sigma ...

Bandwidth

Sr. Analytics Engineer

Raleigh, NC

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the ... and lifecycle management. You will also provide analytics-facing leadership for Sigma ...

Bandwidth

Sr. Analytics Engineer

Raleigh, NC

$101K - $139K/yr

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the ... and lifecycle management. You will also provide analytics-facing leadership for Sigma ...

Avison Young

Senior Analytics Engineer

Raleigh, NC

$93K - $120K/yr

Avison Young has been recognized as one of Canada's Best Managed Companies for the 13th year in a ... Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will ...

Bandwidth

Manager, Marketing Analytics

Raleigh, NC · On-site

... Manager, Marketing Analytics to join our Marketing Operations team and play a pivotal role in how ... to a senior leadership team or developing the next generation of analytical talent on your team.

Bandwidth

Manager, Marketing Analytics

Raleigh, NC

... Manager, Marketing Analytics to join our Marketing Operations team and play a pivotal role in how ... to a senior leadership team or developing the next generation of analytical talent on your team.

Bandwidth

Manager, Marketing Analytics

Raleigh, NC · On-site

... Manager, Marketing Analytics to join our Marketing Operations team and play a pivotal role in how ... to a senior leadership team or developing the next generation of analytical talent on your team.

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All JobsSenior Analytics Manager JobsSenior Analytics Manager Jobs in Raleigh, NC

Senior Analytics Manager information

See Raleigh, NC salary details

$43.7K

$111.3K

$163.8K

How much do senior analytics manager jobs pay per year?

As of Jun 22, 2026, the average yearly pay for senior analytics manager in Raleigh, NC is $111,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $131,200.00 per year, depending on experience, location, and employer.

What does a Senior Analytics Manager do?

A Senior Analytics Manager leads a team of analysts to interpret data, develop insights, and inform business strategy. They are responsible for overseeing data collection, ensuring data quality, and presenting actionable findings to stakeholders. In addition, they often collaborate cross-functionally with other departments to support decision-making and optimize business processes. Senior Analytics Managers also play a major role in mentoring team members and implementing best practices in data analysis.

What are the key skills and qualifications needed to thrive as a Senior Analytics Manager, and why are they important?

To thrive as a Senior Analytics Manager, you need advanced analytical skills, a solid background in statistics or data science, and experience leading analytics projects, often supported by a relevant degree. Proficiency in tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI, as well as certifications in analytics or data management, is highly valued. Exceptional leadership, communication, and problem-solving abilities help drive team performance and translate data insights into business strategy. These competencies are crucial for delivering actionable insights, influencing decision-making, and ensuring data-driven success across the organization.

What are the main challenges Senior Analytics Managers face when leading cross-functional analytics projects?

Senior Analytics Managers often encounter challenges such as aligning stakeholders from different departments, managing competing priorities, and ensuring data consistency across sources. Effective communication is essential to translate complex analytical insights into actionable strategies that resonate with both technical and non-technical team members. Additionally, they must balance hands-on analytical work with mentoring junior analysts and driving project delivery to meet organizational goals.

What is the difference between Senior Analytics Manager vs Data Analyst?

AspectSenior Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Analytics, Statistics, or related field; experience in leadership rolesBachelor's degree in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageCommon in corporate, finance, tech sectors for strategic insightsUsed across various industries for data interpretation and reporting

The Senior Analytics Manager typically oversees analytics teams, manages strategic projects, and interacts with leadership, requiring more experience and leadership skills. Data Analysts focus on data collection, analysis, and reporting, often supporting Senior Managers. The roles differ mainly in scope, responsibility, and seniority, but both require strong analytical skills and relevant credentials.

What are popular job titles related to Senior Analytics Manager jobs in Raleigh, NC? For Senior Analytics Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Manager jobs in Raleigh, NC look for? The top searched job categories for Senior Analytics Manager jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Analytics Manager jobs? Cities near Raleigh, NC with the most Senior Analytics Manager job openings:
Senior Analytics Manager jobs near you
Infographic showing various Senior Analytics Manager job openings in Raleigh, NC as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $111,270 per year, or $53.5 per hour.
Sr. Analytics Engineer

Sr. Analytics Engineer

Bandwidth

Raleigh, NC • On-site

$101K - $139K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

Job description

Who We Are:
Bandwidth, a prior "Best of EC" award winner, is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. Reaching 65+ countries and over 90 percent of the global economy, we're the only provider offering an owned communications cloud that delivers advanced automation, AI integrations, global reach, and premium human support. Bandwidth is trusted for mission-critical communications by the Global 2000, hyperscalers, and SaaS builders!
At Bandwidth, your music matters when you are part of the BAND. We celebrate differences and encourage BANDmates to be their authentic selves. #jointheband
What We Are Looking For:
We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple domains. In this role, you will architect core datasets and semantic foundations, lead complex cross-functional initiatives, mentor engineers and analysts, and establish engineering and governance patterns for AI agent building and lifecycle management. You will also provide analytics-facing leadership for Sigma Administration and Snowflake Administration consistent with senior expectations.
What You'll Do:
  • Architect the analytics layer: Design enterprise-grade dimensional models, conformed dimensions, and shared marts enabling consistent reporting across domains.
  • Establish standards and governance: Define/enforce modeling conventions, metric definitions, documentation requirements, and data contracts.
  • Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end with clear impact analysis, sequencing, risk management, and stakeholder alignment.
  • Lead semantic modeling: Define semantic modeling strategy and patterns (entities, relationships, governed metrics) for BI and agent consumers.
  • Lead agent enablement patterns: Establish data structures and governance to support AI agents (grounding/citations-ready provenance, versioned prompts/config where applicable, evaluation datasets, exception queues).
  • Implement observability patterns: Establish monitoring/alerting strategy (freshness/volume/quality) and basic anomaly detection guardrails; mature incident response playbooks.
  • Ensure platform excellence: Create performance and cost guardrails for Snowflake; standardize efficient patterns in dbt and SQL; prevent regressions.
  • Lead Snowflake Administration (analytics-facing): Own analytics-oriented administration patterns including RBAC conventions for consumption, access workflows, operational guardrails, and cost governance (production administration expectation).
  • Operationalize AI/analytics workflows: Define and standardize n8n automation patterns for approvals, escalations, exception queues, and system-to-system integrations supporting analytics and agent workflows.
  • Represent analytics engineering in architecture reviews and governance councils.
  • Participate in tool/vendor evaluations and implementation planning within approved stack and capability categories.

What You Need:
  • Bachelor's degree required; Master's preferred (or equivalent senior-level experience).
  • 5-8+ years relevant experience in analytics engineering, analytics-focused data engineering, or BI platform engineering.
  • Expert SQL and deep experience with dimensional modeling and enterprise metric consistency.
  • Significant dbt experience including project architecture, macros, test strategy, templates, and deployments; deep understanding of analytics-engineering workflows (dbt, governance, testing).
  • Demonstrated leadership in driving technical initiatives and mentoring other engineers.
  • In-depth knowledge of generative AI / LLM concepts and enterprise application patterns (agent enablement, governance).
  • Working leadership knowledge of production Snowflake administration (analytics-facing).

Bonus Points:
Education:
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.

Experience:
  • Strong Python proficiency for automation, validation frameworks, and data tooling.
  • Experience implementing semantic/metric layer tooling (category) at scale.
  • Familiarity with data cataloging/lineage tooling (category).
  • Experience coordinating orchestration patterns with tools such as Prefect.
  • Demonstrated success implementing integration frameworks using tools such as n8n (and similar platforms).
  • Technical vision with ability to balance innovation and practical implementation.

Technical Skills:
  • Expert SQL & architecture: Set modeling direction across domains; design for scalability, maintainability, and cross-domain consistency; define performance standards and anti-patterns.
  • dbt architecture leadership: Own dbt project structure, macro strategy, testing strategy, documentation standards, and deployment patterns; prevent regressions via CI/CD guardrails.
  • Enterprise semantic modeling strategy: Define semantic modeling patterns (entities, relationships, governed metrics) used consistently across BI and agent consumers; reduce duplicated logic.
  • Snowflake Administration (analytics-facing, production): Lead analytics-oriented admin patterns: RBAC conventions for consumption, access governance workflows, cost/performance guardrails, operational runbooks, and environment promotion hygiene.
  • Sigma Administration (lead): Own workspace governance: organization/folder strategy, access governance, content standards, usage-quality controls, and enablement patterns.
  • Agent building enablement (org patterns): Establish standardized structures and governance to support AI agents: provenance/citation-ready data, versioned configurations where applicable, evaluation datasets, exception handling/review workflows, and lifecycle maintenance patterns.
  • Observability engineering: Define monitoring/alerting standards for freshness/volume/quality; implement basic anomaly detection guardrails and incident response playbooks.
  • AWS ecosystem awareness: Understand how AWS constraints (security posture, networking, cost governance) affect data access, operations, and analytics/agent enablement.
  • Orchestration standards: Define integration patterns with Prefect (dependency design, SLA management, failure handling) and expectations for pipeline reliability.
  • n8n platform patterns: Standardize n8n usage for operational workflows (approvals/escalations/exception queues/integrations) supporting analytics and agent operations.

Soft Skills:
  • Strategic thinker with ability to align technical solutions with business objectives.
  • Strong problem-solving and analytical skills; able to address complex technical challenges effectively.
  • Clear communicator; engages effectively with both technical teams and business stakeholders.
  • Effective mentor; promotes technical excellence among engineering teams.
  • Self-directed, with ability to manage multiple technical initiatives and priorities.
  • Detail-oriented with commitment to quality in architecture, code, documentation, and solution design.
  • Passionate about leveraging emerging AI technologies and automation platforms to improve business operations.
  • Experience contributing to the development of technical talent and engineering capabilities.

The Whole Person Promise:
At Bandwidth, we're pretty proud of our corporate culture, which is rooted in our "Whole Person Promise." We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well...
  • 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
  • All new hires receive four weeks of PTO.
  • PTO Embargo. When you take time off (of any kind!) you're embargoed from working. Bandmates and managers are not allowed to interrupt your PTO - not even with email.
  • Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
  • "Mahalo moments" program grants additional time off for life's most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
  • 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Are you excited about the position and its responsibilities, but not sure if you're 100% qualified? Do you feel you can work to help us crush the mission? If you answered 'yes' to both of these questions, we encourage you to apply! You won't want to miss the opportunity to be a part of the BAND.
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