Senior Specialist, Client & Market Analytics

Deloitte France; Toronto; Hybrid; CAD 69,000 - 114,000; Full time

Benefits offered by this job

Mental health support benefits

Flexible benefit spending account

Deloitte Days

Development & Innovation Days

Flexible work arrangements

Hybrid work structure

Job summary

Deloitte Canada is seeking a Senior Specialist, Client & Market Analytics in Toronto. The role blends advanced analytics with business insight, reporting to Delivery & Innovation.

You will lead data-driven discovery across Market Insight, build models and dashboards, and enable leaders to act on evidence. You will work with MS&I colleagues to connect client, market, and relationship data, delivering timely, credible insights while advancing automation and self-service analytics.

Qualifications

• Strong applied expertise in statistical modelling, predictive analytics and ML with ability to validate assumptions.
• Experience preparing and analyzing large structured and unstructured datasets.
• Proficiency with Python, R, SQL and Power BI for analytics delivery.
• Ability to design dashboards and self-service analytics products for non-technical audiences.
• Ability to frame ambiguous business questions as analytical problems and test hypotheses.

Responsibilities

• Translate business questions into well-defined analytical approaches and select datasets.
• Develop models, visualizations and outputs that are clear and actionable.
• Build reusable analytical assets and self-service tools; apply AI to analytics workflows.
• Collaborate with MS&I team to translate outside-in intelligence into strategic choices.

Skills

Statistical modelling

Predictive analytics

Machine learning

Hypothesis testing

Analytical experimentation

Data integration

Data visualization

Self-service analytics

Problem framing

Education

Bachelor's degree in data science / statistics / related field

Tools

Python

R

SQL

Power BI

Job description

Senior Specialist, Client & Market Analytics Language My Candidate Profile Employee login Job Description Job Alerts Link Senior Specialist, Client & Market Analytics Posting Start Date: 9/23/26
Job Type: Permanent
Work Model: Hybrid
Reference code: 134850
Primary Location: Toronto, ON
All Available Locations: Toronto, ON; Calgary, AB; Edmonton, AB; Halifax, NS; Montreal, QC; Ottawa, ON; Vancouver, BC

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

• Have many careers in one Firm.
• Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
• Learn from deep subject matter experts through mentoring and on the job coaching

Use advanced analytics to connect client and market data, uncover signals Leaders cannot yet see and turn complex questions into evidence they can act on.

What will your typical day look like?

Reporting to the Manager, Delivery & Innovation, you will lead data-driven discovery and analytical delivery across the Market Insight portfolio. This role works across MS&I data products—including Voice of Client and our Market Model—to bring a unified, outside-in perspective, connecting client, market and relationship data to test hypotheses and surface patterns, risks and opportunities early enough for Leaders to act.

• You will translate ambiguous business questions into well-defined analytical approaches—identifying the right datasets, selecting appropriate statistical or predictive methods, validating assumptions and communicating limitations.
• You will conduct exploratory and advanced analysis, develop models and visualizations, and synthesize quantitative and qualitative evidence into outputs that are clear, credible and actionable.
• You will build reusable analytical assets, dashboards and self-service tools; apply AI and automation to reduce manual effort; and establish repeatable approaches that improve speed, quality and consistency.
• You will partner closely with MS&I team members focused on translating outside-in intelligence into strategic choices, providing the integrated evidence and analysis that helps shape where the firm invests, prioritizes and mobilizes growth.

Across these responsibilities, you will bring robust subject-matter expertise and a Leader-centric mindset—understanding the question behind the request, recommending the right analytical approach and delivering evidence Leaders can trust and act on.

Working collaboratively across MS&I, you will take ownership for quality and timely delivery, proactively address risks and continuously improve methods, tools and ways of working. As a peer coach, you will share expertise, review work and strengthen analytical capability across the team. Positions based in Quebec:Bilingualism in French and English is required for this position dueto the nature of the role having interactions with National & Global clients and project teams

About the team

Market Sensing & Intelligence sits within the Relationships Office. Our mandate is to bring an outside-in perspective to the decisions that shape the firm’s priorities, investments and growth. We work across three connected lenses—what clients tell us through our Voice of Client program, what the market tells us through our model of size, share and growth, and what our relationships tell us about the strength of those connections.

We are a small team, which means everyone owns something that matters and knows what they are accountable for. We value deep curiosity, a natural ability to connect signals across clients, markets and relationships, and the confidence to turn those connections into clear, evidence-based points of view. We bring a Leader-centric mindset to our work—meeting Leaders where they are, understanding the decisions in front of them and shaping intelligence around what they need to act.

Our ambition is to move from providing insight to influencing action—surfacing the signal, sharpening the decision and shifting the behaviour. As a result, we measure ourselves by what Leaders do differently, not by what we publish. If you like building things that get used, you will like it here.

Enough about us, let’s talk about you

You are someone with:

• Strong applied expertise in statistical modelling, predictive analytics, machine learning, hypothesis testing and analytical experimentation, with the judgment to select appropriate methods, validate assumptions and communicate uncertainty.
• Deep hands‑on experience preparing, integrating and analyzing large, complex structured and unstructured datasets from multiple sources.
• Proficiency with analytical languages and tools such as Python, R, SQL and Power BI, with experience applying generative AI or automation to analytics workflows.
• Experience designing dashboards, data visualizations and self‑service analytical products that make complex findings accessible and useful to non-technical audiences.
• Ability to frame ambiguous business questions as analytical problems, define testable hypotheses and communicate findings, methods and limitations clearly to non-technical and senior audiences.
• Experience integrating client, market, relationship or competitive data to identify cross‑cutting patterns, risks and opportunities.
• Strong analytical quality discipline, including data‑quality assessment, methodological documentation, model validation, reproducibility and responsible handling of sensitive information.
• Degree or equivalent experience in data science, statistics, econometrics, computer science, mathematics, business analytics or a related quantitative field, with five or more years of relevant experience.

Nice to haves

It would be great for you to also have:

• Experience developing, deploying or governing analytical models and data products in an enterprise environment.

Total Rewards

The salary range for this position is $69,000 - $114,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.

On top of our regular paid vacation days, some examples include:

• $4,000 per year for mental health support benefits
• $1,300 flexible benefit spending account
• firm-wide closures known as "Deloitte Days"
• dedicated days of for learning (known as Development and Innovation Days)
• flexible work arrangements
• hybrid work structure

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

We are all about doing business inclusively – that starts with having diverse colleagues of all abilities.

Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada.

This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan , Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at [e-mail] if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or [e-mail] for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.