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Data Strategy Analyst Jobs (NOW HIRING)

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Data Strategy Analyst

Sherman Oaks, CA · On-site

$75K - $115K/yr

The Data Strategy Analyst is responsible for the quality, completeness, and integrity of the market and prospect data that drives the Company's sales pipeline. The role identifies and profiles ...

The Data Strategy team acts as the central resource & lead for Digital Strategy & Analytics engagements with clients. This team combines their expertise across multiple facets of digital measurement ...

Senior Data Analyst

Boston, MA · On-site

$93K - $117K/yr

... Strategy & Analytics' primary partner for technical data infrastructure owning data mapping, supporting data integrations, and providing direct assistance on Salesforce data model design and system ...

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Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

From navigating large-scale data migrations to enabling self-service analytics, the Retail Data Strategy team ensures that every part of the organization can make decisions grounded in reliable ...

From navigating large-scale data migrations to enabling self-service analytics, the Retail Data Strategy team ensures that every part of the organization can make decisions grounded in reliable ...

From navigating large-scale data migrations to enabling self-service analytics, the Retail Data Strategy team ensures that every part of the organization can make decisions grounded in reliable ...

This role compiles and synthesizes market and internal data, partners with Business Intelligence to ... The Growth Strategy Analyst works collaboratively across the organization to evaluate growth ...

Strategy Analyst

Minneapolis, MN · On-site

$84K - $102K/yr

The Strategy Analyst is an integral member of the Corporate Strategy team, providing analytical and ... This individual will develop data-driven insights, build financial and operational models, and ...

Strategy Analyst

Minneapolis, MN · On-site

$84K - $102K/yr

Overview The Strategy Analyst is an integral member of the Corporate Strategy team, providing ... This individual will develop data-driven insights, build financial and operational models, and ...

Overview The Strategy Analyst is an integral member of the Corporate Strategy team, providing ... This individual will develop data-driven insights, build financial and operational models, and ...

Overview The Strategy Analyst is an integral member of the Corporate Strategy team, providing ... This individual will develop data-driven insights, build financial and operational models, and ...

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Data Strategy Analyst information

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How much do data strategy analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data strategy analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data strategy analyst?

A Data Strategy Analyst is a professional who helps organizations develop and implement strategies to effectively manage, analyze, and leverage data for business decision-making. They assess existing data processes, identify opportunities for improvement, and work with stakeholders to align data initiatives with business goals. Their role often involves data governance, ensuring data quality, and recommending technologies or methodologies to optimize data usage. Through these efforts, Data Strategy Analysts enable organizations to gain valuable insights and maintain a competitive advantage.

What are the key skills and qualifications needed to thrive as a data strategy analyst?

To excel as a Data Strategy Analyst, you need strong analytical skills, business acumen, and experience with data modeling, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with analytics tools such as SQL, Python, Tableau, and data management systems, along with certifications in data analysis or business intelligence, is highly valuable. Strategic thinking, effective communication, and problem-solving abilities are essential soft skills for translating complex data insights into actionable business recommendations. These skills ensure the analyst can bridge technical data analysis and strategic business objectives, driving informed decision-making and organizational success.

What are some common challenges faced by data strategy analysts when aligning data initiatives with business goals?

Data Strategy Analysts often face the challenge of bridging the gap between technical data capabilities and strategic business objectives. This can involve translating complex data insights into actionable recommendations that stakeholders across various departments can understand and implement. Additionally, balancing short-term data needs with long-term strategy, managing data quality issues, and ensuring cross-team collaboration are frequent hurdles. Strong communication and project management skills are essential to navigate these challenges and drive impactful data-driven decisions.

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

AspectData Strategy AnalystData Analyst
Required CredentialsBachelor's degree in data science, business, or related field; familiarity with data toolsBachelor's degree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive presentationsData cleaning, analysis, reporting, and visualization
Employer & Industry UsageTech companies, consulting firms, large enterprises focusing on data-driven strategiesVarious industries including finance, marketing, healthcare, and retail

The Data Strategy Analyst focuses on developing data-driven strategies and aligning data initiatives with business goals, often working closely with leadership. In contrast, a Data Analyst primarily handles data collection, analysis, and reporting to support operational decisions. While both roles require strong analytical skills, the Data Strategy Analyst emphasizes strategic planning and cross-functional collaboration, whereas the Data Analyst concentrates on data processing and visualization.

More about Data Strategy Analyst jobs

What states have the most Data Strategy Analyst jobs?

States with the most job openings for Data Strategy Analyst jobs include:

What are popular job titles related to Data Strategy Analyst jobs?

For Data Strategy Analyst jobs, the most frequently searched job titles are:

Infographic showing various Data Strategy Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Strategy Analyst

Sherman Oaks, CA • On-site

$75K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

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Job description

The Data Strategy Analyst is responsible for the quality, completeness, and integrity of the market and prospect data that drives the Company's sales pipeline. The role identifies and profiles prospective borrowers, verifies the information behind them, and maintains that information as a dependable asset across the systems the sales, reporting, and credit functions rely on. Positioned within the Strategy & Analytics vertical, the analyst works closely with Business Intelligence and Sales Management on the team's data priorities and serves as a research resource to the wider commercial organization.
 

Primary discovery research is performed by an offshore research while this position defines what gets researched, sets the standard the output is held to, resolves the judgment calls the process cannot, and answers for the integrity of the data once it enters the firm's systems.


Principal Duties:

ESSENTIAL FUNCTIONS include the following. Other duties may be assigned.


Market Coverage and Prospect Identification

  • Translate commercial priorities agreed with sales and business development leadership into research criteria, helping select the markets, lender relationships, and product segments where the firm has the most to gain
  • Directly manage and quality-review the work of the offshore research team, setting the standard for what constitutes a valid, usable prospect and returning work that does not meet it
  • Maintain a current view of addressable market coverage and competitor activity, and identify where the prospect pool is thin relative to the sales organization's capacity


Data Integrity and Entity Governance

  • Own the accuracy of prospect and borrower records across the firm's sales, reporting, and lending platforms so that each entity is represented consistently wherever it appears
  • Adjudicate the entity-resolution questions automated processes cannot settle, including which records belong to the same principal or company, which should be separated, and which do not belong in the pipeline at all
  • Review algorithm-driven changes to entity relationships, correct or reverse errors, and preserve a documented audit trail
  • Keep the active prospect pool current by retiring records that no longer reflect market activity and resolving duplicates created through separate intake channels


Commercial and Cross-Functional Support

  • Serve as the research resource for the sales, client acquisition, business development, and marketing teams, meeting agreed turnaround expectations and escalating requests at risk of slipping
  • Provide the prospect intelligence that shapes how the firm approaches an opportunity, including portfolio size, investment behavior, and likely product fit
  • Support conference and event preparation with attendee research and the prospect intelligence behind the campaigns built around them


Reporting and Continuous Improvement

  • Produce recurring production and pipeline reporting consistent with the firm's standard definitions so that outputs reconcile to Business Intelligence
  • Partner with Business Intelligence on data integrity issues, escalate system and application defects, and propose changes to interdepartmental processes
  • Identify opportunities to shorten or automate the research and validation cycle, and support the design and testing of those changes.
  • Ability to effectively and accurately convey information to others.
  • Performs related duties as assigned by management.


Education and Experience

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Bachelor's degree in business, analytics, or quantitative field, or equivalent practical experience required.
  • One to four (4) years of professional experience, internship experience, or relevant coursework in market research, data validation, or analytics.
  • Exposure to real estate, financial services, or technology is preferred but not required.
  • Proficiency in the Microsoft Office suite, with strong Excel skills and comfort working across large data sets.
  • Familiarity with a customer relationship management platform, business intelligence tools, or SQL is an advantage. Training is provided on the firm's internal and specialized third-party systems.
  • Clear written and verbal communication, including the ability to summarize research findings for sales and executive audiences.
  • Strong time management, with the ability to hold multiple competing priorities against recurring deadlines.


Knowledge, Skills, and Abilities

  • Strong attention to detail, with the patience for high-volume work in which accuracy is the product.
  • Investigative curiosity and the persistence to trace an entity through several sources before reaching a conclusion.
  • Sound judgment about when a record falls outside documented procedure, and the instinct to escalate rather than assume.
  • Comfort working with distributed and vendor teams across time zones.
  • Ability to interface with senior stakeholders and to take initiative with a clear business purpose in mind.
  • High level of accountability and a dedication to producing work that is easily consumable by executives and managers.
  • Worked in real estate and / or lending or a related field preferred.
  • Strong verbal and written communication skills.
  • Deadline oriented with strong analytical and presentation skills.
  • Ability to take initiative with a clear business purpose in mind.
  • Ability and desire to work in a fast-paced environment.
  • Team player.


While this description is intended to be an accurate reflection of the position’s requirements, it in no way implies/states that these are the only job responsibilities. Management reserves the right to modify, add, or remove duties and request other duties, as necessary.



By applying for this position, the candidate acknowledges that this is not a remote role and is required to be on-site.


Company Description

Genesis Capital (the “Company”) is one of the largest business purpose lenders in the country, focused on providing commercial real estate financing solutions to real estate developers who buy, renovate, and sell single-family and/or multi-family residential real estate. The Company is a subsidiary of Rithm Capital (parent company), a publicly traded mortgage real estate investment trust.