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Assistant Data Strategy Jobs (NOW HIRING)

Data Strategist

Norfolk, VA

$117K - $151K/yr

... Assist NATO and the larger Core Services Development Team to develop, champion, and align NATOs objectives and goals to a enterprise data strategy, aligning data assets with overall business ...

Data Strategist

Norfolk, VA · On-site

$117K - $151K/yr

... Assist NATO and the larger Core Services Development Team to develop, champion, and align NATOs objectives and goals to a enterprise data strategy, aligning data assets with overall business ...

Data Strategist

Norfolk, VA · On-site

$117K - $151K/yr

... Assist NATO and the larger Core Services Development Team to develop, champion, and align NATOs objectives and goals to a enterprise data strategy, aligning data assets with overall business ...

Customer Data Strategist

Atlanta, GA · On-site

$116K - $151K/yr

Customer & Account Data Strategy: Partner across organizations to maintain customer, account ... assist with account-to-contact matching methodologies and ensure consistent customer and account ...

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Assistant Data Strategy information

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$22K

$64.1K

$93.5K

How much do assistant data strategy jobs pay per year?

As of Jun 18, 2026, the average yearly pay for assistant data strategy in the United States is $64,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What does an Assistant Data Strategy do?

An Assistant Data Strategy professional supports the development and execution of data-driven strategies within an organization. Their responsibilities often include gathering and analyzing data, assisting with data management processes, and providing insights to inform business decisions. They work closely with data analysts, strategists, and other stakeholders to ensure effective use of data assets. This role typically involves using analytical tools, preparing reports, and helping to implement data governance policies.

What are the key skills and qualifications needed to thrive as an Assistant Data Strategy professional, and why are they important?

To thrive as an Assistant Data Strategy professional, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic programming languages such as SQL or Python is often required. Excellent communication, attention to detail, and problem-solving skills help you collaborate with cross-functional teams and translate data insights into actionable strategies. These skills are crucial for delivering accurate, data-driven recommendations that support organizational goals and decision-making.

What are the typical responsibilities of an Assistant Data Strategy professional during a project lifecycle?

As an Assistant Data Strategy professional, you will typically be involved in gathering and organizing data requirements, supporting data analysis, and helping to develop actionable insights for business stakeholders. You may assist in documenting data processes, preparing reports, and collaborating closely with data analysts, engineers, and business units to ensure alignment with the overall data strategy. This role often requires strong communication skills, attention to detail, and the ability to adapt to shifting project priorities. You will gain valuable exposure to cross-functional teamwork and have opportunities to learn from senior data strategists, which can support career growth.

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

AspectAssistant Data StrategyData Analyst
Primary FocusSupporting data strategy development and implementationAnalyzing data to generate reports and insights
Skills & CertificationsKnowledge of data management, business strategy, and basic analytics toolsProficiency in data analysis, SQL, Excel, and visualization tools
Work EnvironmentCollaborates with data strategists, business teams, and ITWorks mainly with data sets, reporting tools, and stakeholders needing insights
Industry UsageCommon in organizations focusing on data-driven decision makingWidely used across industries for data reporting and analysis

The main difference is that an Assistant Data Strategy supports the development and execution of data strategies, focusing on planning and coordination. In contrast, a Data Analyst primarily analyzes data to produce reports and insights. Both roles require analytical skills, but their responsibilities and focus areas differ significantly.

More about Assistant Data Strategy jobs
What cities are hiring for Assistant Data Strategy jobs? Cities with the most Assistant Data Strategy job openings:
What are the most commonly searched types of Data Strategy jobs? The most popular types of Data Strategy jobs are:
What states have the most Assistant Data Strategy jobs? States with the most job openings for Assistant Data Strategy jobs include:
What job categories do people searching Assistant Data Strategy jobs look for? The top searched job categories for Assistant Data Strategy jobs are:
Infographic showing various Assistant Data Strategy job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $64,055 per year, or $30.8 per hour.
Senior Manager, Sales Data Strategy

Senior Manager, Sales Data Strategy

T Rowe Price

Baltimore, MD • Hybrid

Other

Posted 27 days ago


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Role Summary

The Senior Manager will be responsible for developing and supporting a comprehensive data strategy in line with overall business priorities and Sales Capabilities to lay the groundwork for the long-term vision of a data-driven organization. This person will help major business initiatives succeed by helping business partners in adopting and realizing the expected business value of internal and external data. In this senior position, you will work on "Client Master Data."focus area to establish strategic roadmaps, capability models, governance forums, and oversee execution of programs, initiatives, and protocols.

As part of Global Sales Management (GSM) Business Group, Senior Manager of Sales Data Strategy will work closely with the Sales Enablement (SE) and Sales Intelligence (SI) teams as well as the Chief Data Office (CDO) and interact with other departments within TRP Investment, including Global Marketing, Global Product, CFO/AUM, Investments Operations, and Global Client Account Servicing (GCAS). This person will work with sponsors in US Intermediaries (USI), Retirement Plan Services (RPS), and the Americas, Asia Pacific, and Europe (AAE) sales units to define, socialize, and measure outcomes for data initiatives, and to reach consensus on solutions that meet the needs of each segment while expanding scale and return on investment.

Responsibilities

  • To make more well-rounded judgments for our BU (Business Units) partners, it is important to encourage communication and collaboration among the GSM extended leaders in the areas where there is heavy engagement on data-related matters.
  • Tactical decisions should be made in close cooperation with all relevant parties to strike a balance between immediate needs for action and long-term strategic planning.
  • Assist with GSM and technology-wide data dependencies on critical business activities supported by Data Strategy.
  • Manage the alignment of sales processes (such as Opportunity Pipeline and at-risk; Segmentation and Tiering; Account Planning) with data needs (vendor/Partner data, internal TRP applications) unique to a given market or country, both in their present and desired states.
  • Collaborate with TRP's technological partners to create a shared understanding of how data will be used across departments and how it will be shared.
  • Work with other GSM employees, business partners, and technology partners to develop comprehensive guidelines for finding, using, and retiring external third-party data sets for use in furthering corporate goals.
  • Work with the Senior Manager of Data Governance and Operations to brainstorm ways to improve the efficiency of the operations team and implement new policies.
  • Work together on a unified implementation of processes and controls across the whole sales and client data lifecycle, from creation to consumption to integration to eventual disposal.
  • Spreads the gospel of established processes for tracking and reporting vital sales metrics so that more people can believe the numbers being reported.
  • Help the GSM team anticipate their future data requirements to reduce data duplication and increase data compatibility. Information security and privacy concerns are raised as appropriate.
  • All crucial data decisions (such as those involving data sourcing and mastering, data distribution, business rules, etc.) need to be evaluated against defined criteria that are in line with CDO principles and business strategy.
  • Provides instruction for less experienced professionals and supports employees in the fundamentals of data and data management.

Qualifications

Required:

  • Bachelor's degree or the equivalent combination of education and relevant experience AND
  • 8+ years of total relevant work experience

Preferred:

  • Expertise in asset management, sales enablement technology, management consulting, or a closely related profession, as well as extensive expertise establishing and implementing a data strategy.
  • The proven ability of B2B sales data to generate meaningful business results
  • A deep understanding of business concerns, needs, and strategies coupled with strong business acumen, drive, and organizational skills.
  • Familiarity with important data management and analysis terms including "data lake" (mesh), "reference data," "market data," "business glossary," and "Master Data Management."
  • Prior expertise with relevant sales and analytical systems is preferred, specifically with Salesforce, Snowflake, Analytics tools (Tableau & Alteryx), and Decision models.
  • Proven ability to synthesize information and make recommendations that influence choices across business functions.
  • Ability to deal with data and to infer, interpret, and gain insights from it.

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to two days per week from home.


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