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Added 12 mins ago
TG
Cash Management Officer - Tax Intern
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- $22 to $25 CAD / hour
- Full-time
This role reports to: Senior Manager, Cash Management
Added 12 mins ago
BO
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Amphenol Communications Solutions

Data Analytics Manager

Markham, ON, Canada

The base salary range for this position is $100,000 - $130,000 annually. · Full-time

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Job details

Pay: The base salary range for this position is $100,000 - $130,000 annually.
Job type: Full-time
Apply by: Nov 28, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

Location: Markham, ON Posted: 10/29/2026 Location Name: HSIO-Markham

Wage Max: 130,000.00 Wage Min: 100,000.00 Position Type: Full Time

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.

Amphenol is one of the largest manufacturers of interconnect products in the world. The Company designs, manufactures and markets electrical, electronic and fiber optic connectors, coaxial and flat-ribbon cable, and interconnect systems. The primary end markets for the Company's products are communications and information processing markets, including cable television, cellular telephone and data communication and information processing systems; aerospace and military electronics; and automotive, rail and other transportation and industrial applications.

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.

Amphenol High Speed Products Group is the market leader for high-speed IO products. Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally.

Data Analytics Manager

Position: Data Analytics Manager

Location: Markham

Reports To: Director of IT Applications

Position Summary

We are seeking a Data Analytics Manager to lead our Enterprise BI and Analytics Service team and deliver trusted, actionable analytics that meet customer and business needs. This role will partner with executive leadership, marketing, finance, customer service, and other functions to understand business progress, priorities, and challenges, and translate them into a clear analytics roadmap and reliable delivery.

The manager will be accountable for BI team performance, reporting quality, delivery commitments, and the end-to-end user experience. The role combines people leadership, business partnership, and technical judgment, with a strong focus on BI, user adoption, continuous improvement, and analytics that support business growth. The manager will also assess relevant technology developments and guide practical improvements in collaboration with the Enterprise Data Service team.

ATTRIBUTES

People leadership, coaching, and accountability
Business partnership and customer focus
Strong technical judgment and analytical problem solving
Delivery discipline and performance management
Commitment to user experience and continuous improvement

Responsibilities

Lead the BI and Analytics Service team from business discovery and prioritization through solution delivery, adoption, and ongoing service improvement.

ACTIVITY

Description

BI Team Leadership and Performance

Set clear team objectives, individual responsibilities, delivery expectations, and development plans. Allocate work based on business priorities and capacity. Coach team members, conduct regular performance reviews, address performance gaps, and support recruitment, succession, cross-training, and backup coverage.

Business Partnership and Progress

Maintain regular engagement with business leaders and customers of the analytics service. Understand each function's objectives, initiatives, progress, operating challenges, and upcoming decisions. Translate these needs into analytics priorities and proactively identify opportunities to improve growth, profitability, efficiency, and customer service.

Requirements and Delivery

Own the BI demand intake and delivery backlog. Agree scope, KPI definitions, acceptance criteria, priorities, and timelines with stakeholders. Manage dependencies, capacity, risks, and changes; provide transparent progress updates and escalate blockers. Ensure business validation, user acceptance testing, and sign-off before release.

Reporting Quality and User Experience

Set standards for dashboard clarity, consistency, accessibility, navigation, responsiveness, and usefulness. Ensure reporting is tailored to executives, functional managers, and operational users. Review prototypes with users, validate results, and use feedback and usage evidence to improve the experience and retire redundant reports.

Technical Direction and Development

Stay current with Power BI, visualization, analytics practices, and relevant AI capabilities. Evaluate new capabilities through focused pilots and business cases. Guide design and technical reviews, reusable reporting patterns, and performance improvements within enterprise architecture, security, and governance standards.

Service Reliability and Governance

Ensure refresh monitoring, incident triage, problem resolution, release controls, and support documentation are in place. Agree service expectations with stakeholders and track performance. Partner with data owners, the Enterprise Data Architect, and data engineers on KPI consistency, data quality, access controls, audit evidence, and root-cause remediation.

Adoption and Continuous Improvement

Lead user training, communication, and change adoption. Build business analytics capability and governed self-service reporting. Review service and team performance regularly, gather stakeholder feedback, remove delivery bottlenecks, and demonstrate measurable improvements in reporting effort, adoption, and decision support.

Qualifications

Bachelor's degree in Information Systems, Computer Science, Business Analytics, Engineering, Business, or a related field, or equivalent relevant experience.
7+ years of progressive experience in business intelligence, data analytics, or enterprise reporting, including 3+ years leading a BI or analytics team and managing delivery and performance.
Proven ability to lead, coach, and develop BI professionals; establish clear expectations; manage competing priorities; and build a collaborative, accountable team.
Strong practical Power BI knowledge, including dashboard design, DAX, Power Query, semantic models, reporting security, refresh management, and performance optimization; able to review technical solutions and guide the team.
Solid understanding of SQL, dimensional modeling, data integration, data quality, and governed analytics, with experience collaborating across architecture teams.
Demonstrated success translating customer and business needs into analytics roadmaps, clear requirements, delivery plans, acceptance criteria, and useful reporting solutions.
Experience improving user experience and adoption through stakeholder discovery, prototypes, usability reviews, training, and ongoing feedback.
Strong communication and stakeholder management skills, with the ability to explain business insights, technical tradeoffs, delivery risks, and resource needs to business leaders and global teams.

Preferred Experience

Manufacturing or global enterprise reporting; ERP, MES and CRM data, including QAD ERP, Plex MES, Salesforce CRM; Microsoft Fabric and Azure data platforms; Microsoft Power BI certification such as PL-300; financial, commercial, and customer service analytics.

Come join the Amphenol family!

The base salary range for this position is $100,000 - $130,000 annually. In determining the rate of pay, Amphenol considers a variety of nondiscriminatory factors, including but not limited to geographic location, relevant industry experience, qualifications, skills, and education. It would be rare for an individual to be hired at or near the top of the range for a given role. Base salary is one facet of Amphenol's total rewards package which includes participation in our comprehensive benefits program with medical, dental, and vision benefits, vacation, sick leave, paid holidays, life insurance, short/long term disability, and membership in our Defined Contribution Pension Plan.

Amphenol Canada is committed to developing inclusive, barrier-free selection processes and work environments. If contacted in relation to a job opportunity you should advise Amphenol, in a timely fashion, of the accommodation measures which must be taken to enable you to be assessed in a fair and equitable manner. Information received relating to accommodation measures will be addressed confidentially.

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/

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More about this job

Responsibilities

Lead the BI and Analytics Service team, setting priorities and delivery expectations while partnering with business leaders to translate their needs into an analytics roadmap and reliable reporting solutions. Ensure reporting quality, service reliability, user adoption, and continuous improvement through technical guidance, governance, training, and performance management.

Requirements

Requires a bachelor's degree in a relevant field or equivalent experience, at least 7 years of progressive BI, analytics, or enterprise reporting experience, and at least 3 years leading a BI or analytics team. Candidates should have practical Power BI expertise, knowledge of SQL and data modeling, and a record of translating business needs into useful analytics while leading teams and managing stakeholders.

Skills

People Leadership
Business Partnership
Power BI
Dashboard Design
DAX
Power Query
SQL
Dimensional Modeling
Data Integration
Data Quality
Analytics Roadmapping
Stakeholder Management
User Experience
Performance Optimization
Governed Self-Service Reporting
Change Adoption

Benefits

Medical Benefits
Dental Benefits
Vision Benefits
Vacation
Sick Leave
Paid Holidays
Life Insurance
Short-Term Disability
Long-Term Disability

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Data Analytics
Enterprise Reporting
Power BI
DAX
Power Query
Semantic Models
SQL
Dimensional Modeling
Data Integration
Data Quality
Microsoft Fabric
Azure Data Platforms
QAD ERP
Plex MES
Salesforce CRM
PL-300
Dashboard Design
Reporting Security
Refresh Management
Performance Optimization
Governed Analytics
Self-Service Reporting
KPI Definitions
User Acceptance Testing
Manufacturing Analytics
Financial Analytics
Commercial Analytics
Customer Service Analytics
Data Governance

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