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Strategic Analytics Jobs (NOW HIRING)

As the Strategic Analytics Principal, you will be a hands‑on member of the Data & Analytics team within the CFO organization. This is a role for an expert generalist, someone with the analytical ...

We represent the perfect blend of strategy and creativity. Of tactics and analytics. To make Ulta Beauty a brand guests will advocate for. Growing share of heart. Delivering with disciplined ...

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Senior Analyst - Strategic Analytics

Fort Washington, PA Β· On-site

$85K - $112K/yr

... Strategic Analytics Analyst to lead data-driven decision-making across the organization. This role is responsible for driving deeper analysis, uncovering key drivers of performance, and delivering ...

Role Overview As the Strategic Analytics Principal, you will be a hands-on member of the Data & Analytics team within the CFO organization. This is a role for an expert generalist, someone with the ...

Role Overview As the Strategic Analytics Principal, you will be a hands-on member of the Data & Analytics team within the CFO organization. This is a role for an expert generalist, someone with the ...

Senior Analyst, Strategic Analytics

$90K - $119K/yr

About the Role Motive's Strategic Analytics (SA) team drives data-informed decision-making for the Product organization. We turn business metrics and product usage data into insight that directly ...

Represent the analytics/quality function directly to senior executive leadership on ranking/rating strategy, risk, and resource needs. Requirements * Clinical background and licensure/credentialing ...

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Strategic Analytics information

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$46K

$105.6K

$186.5K

How much do strategic analytics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for strategic analytics in the United States is $105,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $125,500.00 per year, depending on experience, location, and employer.

What is strategic analytics?

Strategic analytics is the practice of using data analysis and advanced analytics techniques to inform and support an organization’s long-term decision-making and strategy. Professionals in strategic analytics analyze data trends, market dynamics, and operational metrics to help guide business growth, improve efficiency, and gain a competitive edge. This role typically requires a blend of analytical skills, business acumen, and the ability to communicate insights to leadership teams.

How does a strategic analytics professional typically collaborate with cross-functional teams to drive business decisions?

Strategic Analytics professionals often work closely with departments such as marketing, finance, operations, and product management to gather relevant data and provide actionable insights. They facilitate data-driven decision-making by translating complex analyses into clear recommendations tailored to each team’s goals. Regular meetings, presentations, and collaborative workshops are common, ensuring alignment between analytics initiatives and organizational strategy. Effective communication and a strong understanding of business objectives are essential for successful cross-functional collaboration.

What are the key skills and qualifications needed to thrive as a strategic analytics professional, and why are they important?

To thrive in Strategic Analytics, you need strong quantitative analysis, data interpretation, and business acumen, often supported by a degree in analytics, statistics, or a related field. Proficiency with tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving, communication, and stakeholder management skills help you translate complex data into actionable insights. These skills enable strategic decision-making and drive business growth through evidence-based recommendations.

What is the difference between Strategic Analytics vs Data Analyst?

AspectStrategic AnalyticsData Analyst
Required CredentialsBachelor's or master's in analytics, business, or related fields; often certifications in analytics toolsBachelor's degree in data science, statistics, or related fields; certifications in Excel, SQL, or data tools
Work EnvironmentStrategic planning sessions, cross-departmental collaboration, executive meetingsData collection, cleaning, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate strategy, consulting, and business developmentCommon in finance, marketing, healthcare, and tech industries

While Data Analysts focus on collecting and interpreting data to generate reports, Strategic Analytics professionals analyze data to inform high-level business strategies and decision-making. Both roles require strong analytical skills, but Strategic Analytics involves a broader scope, including forecasting and strategic planning.

What does a strategic analytics do?

A strategic analytics professional analyzes data to help organizations make informed business decisions. They use tools like data visualization and statistical models to identify trends, develop insights, and support strategic planning. Strong analytical skills and knowledge of data management are essential for this role.
More about Strategic Analytics jobs

What cities are hiring for Strategic Analytics jobs?

Cities with the most Strategic Analytics job openings:

What states have the most Strategic Analytics jobs?

States with the most job openings for Strategic Analytics jobs include:

Infographic showing various Strategic Analytics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 8% Part Time, and 1% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $105,580 per year, or $50.8 per hour.

Strategic Analytics Principal

Manhattan, NY β€’ On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Job Description

As the Strategic Analytics Principal, you will be a hands‑on member of the Data & Analytics team within the CFO organization. This is a role for an expert generalist, someone with the analytical depth to master any problem and the range to own the outputs, actions, and tools that come out of the work. Your primary mission is to deliver strategic insights and drive data analytics solutions, turning business questions and opportunities into data‑driven recommendations and tools that leadership can trust and act on. You will spend most of your time in the data β€” querying, modeling, analyzing, and building β€” and you will actively leverage AI tools to drive greater business value and unlock innovation.

Responsibilities
  • Analytics and Insights Delivery: Serve as a go‑to analyst for stakeholders across Finance on analytics projects. You will lead and execute high‑impact deep dives into complex topics like revenue leakage, product profitability, and margin optimization.
  • Abstract Problem Solving: You are the person the business calls when they don't know where to start. You will structure the problem, identify the levers, and define the success criteria.
  • Hands‑on Investigation: You are the \"Lead Detective\" for Finance. When a KPI fluctuates, you run deep‑dive discovery, identifying root causes across sales, product, usage, and financial data.
  • Data Storytelling: You build and present a clear data story and strategic narrative. You will synthesize complex analytical findings into crisp, high‑impact decks that lead with the \"So What\" and end with a clear call to action.
  • AI‑Assisted Delivery: Leverage AI tools β€” copilots, skills and plugins, LLM‑assisted SQL and analysis, and workflow automation β€” to accelerate delivery, cut manual effort, and prototype new analytical approaches.
  • KPI Architecture: Define, standardize, and govern the core metrics for the Finance organization. You will ensure \"metric consistency\" across the company, eliminating drift between different departments.
  • Data Logic & Governance: Own the logic layer. You will ensure the calculations and definitions connecting raw data to models, reports and solutions are sound and consistent.
  • Product Ownership: Own data products and solutions β€” data & BI tools, analytics agents, decision engines β€” across their lifecycle in close partnership with data and analytics engineers, platform architects, and technology teams.
The Ideal Candidate Profile
  • Technical Advanced Excel and SQL: You have spreadsheet mastery and are an expert at data querying and modeling data based on problem/project requirements.
  • Analytical Frameworks and Statistical Techniques: Extensive expertise in developing and applying advanced analytics to interpret complex data, uncover trends, and generate actionable insights that inform strategic decision‑making.
  • PowerPoint: Proficient in creating impactful presentations, including advanced PowerPoint features and storytelling techniques.
  • AI & GenAI Tools: Advanced, hands‑on experience using AI tools (e.g., Claude, Codex, Cortex, Copilot, etc.) to improve speed, quality, automation, and innovation.
  • Leadership & Product Mindset Simplicity over Complexity: You have a natural ability to take a complex problem or high‑density technical architecture and simplify it for executive use.
  • Executive Presence: You’re confident presenting to senior leaders β€” you can use data and narrative to make a clear recommendation and field pushback.
  • Business Acumen: You understand the levers of a technology business – SaaS economics, product performance, revenue forecasting, financial analysis, etc.
  • Ownership: Demonstrated ownership and entrepreneurial mindset by proactively identifying opportunities, driving initiatives end‑to‑end, and delivering impactful results in dynamic environments.
  • Product Thinking: You think like a product owner β€” balancing user needs, technical trade‑offs, and business value.
Qualifications
  • Bachelor’s degree or equivalent in a quantitative discipline such as engineering, mathematics, statistics, business, economics, etc.
  • MBA or Master’s in a quantitative discipline such as Finance, Economics, Analytics, etc. preferred.
  • 5+ years of experience in data, analytics, financial planning and analysis, data products, or management consulting.
  • Superior presentation and communication skills with a proven track record of delivering data stories and strategic recommendations to a leadership audience.
  • Experience building and managing complex spreadsheet‑based quantitative models.
  • Experience building or owning data/BI/AI products and solutions.
  • Technical (Required): Advanced Excel, data modeling, and statistical analysis; SQL; at least one BI/visualization tool (e.g., Power BI); and hands‑on use of AI/GenAI tools (e.g., Claude, Codex) in daily work.
  • Technical (Preferred): Python, Snowflake, dbt or semantic‑layer modeling, Streamlit, Salesforce/ERP data, and experience building LLM‑ or agent‑based tools.
Work Location & Flexibility

This role follows a hybrid work model and is open to candidates based near our New York office. Employees are expected to work on‑site a minimum of two days per week. Flexible work hours may be required at times to support critical deadlines, planning cycles, global stakeholders, or business needs. Travel may be required occasionally based on business needs.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable.

Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process.

Datasite reserves the right to modify this pay range at any time.

$118,800.00 - $207,200.00

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

Welcome to the Datasite global recruitment page. This is where you can explore opportunities and find the one that’s the best fit for you. It’s where all the high‑tech, high‑value, cutting edge technology businesses that form our economic value creation platform post the jobs they need you for. It’s the central hub for Datasite, Blueflame AI, Grata, and Sherpany. The best of the best from the very best people. The inquisitive. The inspirational. The inventive. The challenging. The builders of tomorrows. The people who come together to simplify the complex, create great experiences and deliver better outcomes for themselves and our customers.

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