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Strategy Analytics Manager Jobs in Utah (NOW HIRING)

Ancestry

People Analytics Manager

Draper, UT · Hybrid

Strategic Advisor: Offer practical and in * formed recommendations to improve policy, workforce planning, talent development, retention, etc. to achieve business goals. Lead ad hoc people analysis ...

Waystar

Marketing Analytics Manager

Lehi, UT · On-site

They are seeking a Marketing Analytics Manager responsible for building and executing marketing ... strategy required, Marketo experience preferred. • Advanced Salesforce experience. Company

Waystar

Marketing Analytics Manager

Lehi, UT · On-site

They are seeking a Marketing Analytics Manager to build and scale marketing performance measurement ... strategy required, Marketo experience preferred. • Advanced Salesforce experience. Company

Patientco

Marketing Analytics Manager

Lehi, UT · On-site

Strong analytical and problem-solving skills with high attention to detail * Ability to manage ... Marketing automation strategy required, Marketo experience preferred. * Advanced Salesforce ...

Waystar

Marketing Analytics Manager

Lehi, UT · On-site

Strong analytical and problem-solving skills with high attention to detail * Ability to manage ... Marketing automation strategy required, Marketo experience preferred. * Advanced Salesforce ...

Lantern

Strategy Analyst

Ogden, UT · Remote

Work cross-functionally with commercial, analytics, operations, and product teams to execute ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Lantern

Strategy Analyst

Salt Lake City, UT · On-site

Work cross-functionally with commercial, analytics, operations, and product teams to execute ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Lantern

Strategy Analyst

Salt Lake City, UT · Remote

Work cross-functionally with commercial, analytics, operations, and product teams to execute ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Lantern

Strategy Analyst

Orem, UT · On-site

Work cross-functionally with commercial, analytics, operations, and product teams to execute ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Lantern

Strategy Analyst

Orem, UT · Remote

Work cross-functionally with commercial, analytics, operations, and product teams to execute ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

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Strategy Analytics Manager information

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

To thrive as a Strategy Analytics Manager, you need strong analytical abilities, business acumen, and a background in quantitative fields such as economics, statistics, or business management, often supported by a bachelor's or master's degree. Proficiency with data analytics tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Exceptional communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These skills are crucial for driving data-informed strategic decisions and effectively collaborating with cross-functional teams to achieve business goals.

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

AspectStrategy Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Business, Economics, or related fields; experience in analytics and strategyBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentStrategic planning teams, cross-functional departments, senior managementData teams, IT departments, project-based settings
Employer & Industry UsageConsulting firms, corporate strategy departments, market researchFinance, marketing, healthcare, technology sectors

The Strategy Analytics Manager focuses on analyzing market and business data to inform strategic decisions, often leading teams and working closely with senior management. In contrast, Data Analysts primarily handle data collection, cleaning, and basic analysis to support various operational needs. Both roles require strong analytical skills, but the Strategy Analytics Manager emphasizes strategic insight and leadership.

How does a Strategy Analytics Manager typically collaborate with cross-functional teams to drive business outcomes?

As a Strategy Analytics Manager, you will frequently work alongside teams from marketing, finance, operations, and product development. This collaboration involves gathering data requirements, communicating analytical findings, and translating insights into actionable strategies. You’ll often facilitate workshops or meetings to align objectives, ensure data integrity, and support decision-making processes. Effective communication and stakeholder management skills are crucial, as your analyses directly inform key business initiatives and strategic direction.

What does a Strategy Analytics Manager do?

A Strategy Analytics Manager is responsible for analyzing data and market trends to help shape a company's strategic direction. They gather and interpret complex data, create actionable insights, and collaborate with executives to develop business strategies. These managers often use advanced analytics tools to assess performance, identify opportunities for growth, and support critical decision-making. Their work plays a crucial role in ensuring the organization remains competitive and achieves its long-term goals.
What are popular job titles related to Strategy Analytics Manager jobs in Utah? For Strategy Analytics Manager jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Strategy Analytics Manager jobs in Utah look for? The top searched job categories for Strategy Analytics Manager jobs in Utah are:
What cities in Utah are hiring for Strategy Analytics Manager jobs? Cities in Utah with the most Strategy Analytics Manager job openings:
Strategy Analytics Manager jobs near you

Senior Fraud Strategy and Analytics Manager

Raisin

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.
Team
The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your ResponsibilitiesAs the Senior Fraud Strategy and Analytics Manager, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails.
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.
  • Advanced Fraud Strategy & Analytics- Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance- Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration- Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile
  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
As part of our team, you will benefit from:
  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.

Salary Range
$120,000-$160,000 USD
Raisin Applicant Privacy Policy
We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

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