Manager, Data & Analytics

Reposted 13 Days Ago
Be an Early Applicant
2 Locations
In-Office
74K-138K Annually
Senior level
Financial Services
The Role
The Manager, Data & Analytics will generate insights, analyze data, collaborate across functions, and improve analytics practices, primarily in the banking sector.
Summary Generated by Built In

Application Deadline:

05/14/2220

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

This is a hybrid role requiring 3-4 days in the Chicago or San Fran office

Key Responsibilities:

  • Insight Generation & Strategic Analysis
    • Partner with business leaders to identify opportunities and deliver impactful insights.
    • Conduct deep-dive analyses on banking products, client behavior, and performance trends.
    • Develop executive-ready presentations that translate data into strategic recommendations.
  • Technical Excellence
    • Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data.
    • Build scalable analytical solutions and automate recurring processes.
    • Collaborate with the Sr. Manager and analytics team to improve data workflows and efficiency.
  • Cross-Functional Collaboration
    • Work closely with product, finance, and strategy teams to align analytics with business priorities.
    • Serve as a thought partner to stakeholders, helping them interpret data and make informed decisions

We are seeking a highly analytical and business-savvy Manager, Data & Analytics to join our Data & Analytics team in our San Francisco or Chicago office. This role is ideal for someone who thrives at the intersection of data and strategy—someone who is passionate about uncovering insights that drive business decisions and has deep experience in banking products and client behavior.

You’ll work closely with senior business leaders, translating complex data into clear, actionable insights that influence strategy across sales, pricing, profitability, and client engagement

  • Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
  • Provides value through insights, reporting and data visualization techniques. Selects, configures and implements analytics solutions for consistency and repeatability.
  • Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
  • Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
  • Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
  • Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
  • Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
  • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
  • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
  • Provides specialized consulting, analytical and technical support.
  • Exercises judgment to identify, diagnose, and solve problems within given rules.
  • Works independently and regularly handles non-routine situations.
  • Broader work or accountabilities may be assigned as needed.
  • Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

  • Experience & Domain Knowledge
    • 5–7 years of experience in analytics, preferably within banking or financial services.
    • Strong understanding of banking products, client segmentation, and business strategy.
  • Technical Skills
    • Proficient in SQL and Python (or other programming languages with a willingness to learn Python).
    • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Communication & Influence
    • Ability to distill complex data into simple, compelling insights.
    • Comfortable presenting to senior stakeholders and influencing decisions.
  • Mindset
    • Curious, proactive, and impact-driven.
    • Strong problem-solving skills and a passion for continuous improvement

Salary:

$74,000.00 - $138,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.  We strive to help you make an impact from day one – for yourself and our customers.  We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Skills Required

  • 5-7 years of experience in analytics, preferably within banking or financial services.
  • Strong understanding of banking products, client segmentation, and business strategy.
  • Proficient in SQL and Python or other programming languages with willingness to learn Python.
  • Experience with data visualization tools such as Tableau or Power BI is a plus.
  • Ability to distill complex data into simple, compelling insights.
  • Comfortable presenting to senior stakeholders and influencing decisions.
  • Strong problem-solving skills and a passion for continuous improvement.

BMO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.

  • Parental & Family Support Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
  • Retirement Support A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
  • Leave & Time Off Breadth Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.

BMO Insights

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The Company
HQ: Toronto, Ontario
51,885 Employees

What We Do

At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.

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