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Junior Data Strategy Jobs (NOW HIRING)

Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the ... We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ...

New

Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the ... We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in ...

New

Junior Data Integration Developer Company: BLN24 About Us: We find strength in teamwork-a better ... strategic and technical operations and deployments. Position Overview: BLN24 is seeking a Junior ...

Junior Data Integration Developer

Mclean, VA ยท On-site

$67K - $87K/yr

Junior Data Integration Developer Company: BLN24 About Us: We find strength in teamwork-a better ... strategic and technical operations and deployments. Position Overview: BLN24 is seeking a Junior ...

Senior Data Scientist

San Francisco, CA ยท On-site

$140K - $175K/yr

... junior data scientists, and collaborate closely with AI engineering and product teams in a dynamic, fast-paced environment. What you'll do Data Strategy, Analysis & Management * Frame, design ...

AWS Data Architect

Torrance, CA ยท On-site

$67.50 - $88.75/hr

... to junior data engineers and architects Collaborate with stakeholders to define data strategy governance policies and compliance standards Monitor and troubleshoot data workflows addressing ...

Data Architect

Washington, DC

$72.25 - $92.75/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

GA ยท On-site

Soccer is seeking a Junior Data Engineer to support strategic technology projects. This individual will join U.S. Soccer's growing product team and support scalable data warehouse solutions ...

Data Architect

Watertown, MA

$69.25 - $89.25/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

Data Architect

Orlando, FL

$59.50 - $76.50/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

Data Architect

Watertown, MA

$69.25 - $89.25/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

New

Data Architect

Charlotte, NC

$62.25 - $80/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

Data Architect

Watertown, MA ยท On-site

$69.25 - $89.25/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

Data Architect

New York, NY

$69.75 - $89.75/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

Data Architect

Atlanta, GA

$61.25 - $78.75/hr

... strategic direction, provide technical leadership, and mentor junior team members. This position ... Architect end-to-end data solutions, including data integration, storage, access patterns, and ...

Showing results 41-60

Junior Data Strategy information

See salary details

$29.5K

$66.7K

$118.5K

How much do junior data strategy jobs pay per year?

As of Aug 12, 2026, the average yearly pay for junior data strategy in the United States is $66,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $75,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior Data Strategy professional, you need a solid foundation in data analysis, business acumen, and a relevant degree such as in statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These competencies ensure you can effectively support data-driven decision-making and contribute to organizational strategy.

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

AspectJunior Data StrategyData Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; often similar certifications
Work EnvironmentCollaborative teams, strategic planning, cross-departmental projectsData collection, cleaning, analysis, reporting
Employer & Industry UsageBusiness strategy teams, consulting firms, tech companiesFinance, healthcare, marketing, tech industries

Junior Data Strategy roles focus on supporting strategic initiatives and planning using data insights, often working closely with business teams. Data Analysts primarily analyze data sets to generate reports and insights. While both roles require similar educational backgrounds and certifications, Junior Data Strategists are more involved in strategic planning, whereas Data Analysts focus on data processing and analysis.

What are typical responsibilities and collaborative dynamics for a junior data strategy professional?

As a Junior Data Strategy professional, you'll often support senior team members by collecting, cleaning, and analyzing data to inform business decisions. You may help prepare reports, contribute to data-driven presentations, and assist in developing data governance policies. This role frequently involves collaborating with departments such as IT, marketing, and business analytics to ensure that data solutions align with organizational goals. It's common to participate in cross-functional meetings, where your input helps shape strategies for data usage across the company.

What does a junior data strategy professional do?

A Junior Data Strategy professional assists in analyzing data, developing strategies to leverage data for business goals, and supporting data-driven decision-making. They often work with more senior strategists to collect, clean, and interpret data, and help implement best practices for data management. Their role may involve creating reports, identifying trends, and supporting cross-functional teams to ensure effective use of data across the organization.

How much does a junior data strategy make?

A junior data strategy role typically offers a salary ranging from $50,000 to $70,000 annually, depending on location, industry, and experience. Entry-level professionals in data strategy often have skills in data analysis, SQL, and business intelligence tools, which can influence compensation levels.
More about Junior Data Strategy jobs
What cities are hiring for Junior Data Strategy jobs? Cities with the most Junior 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 Junior Data Strategy jobs? States with the most job openings for Junior Data Strategy jobs include:
Infographic showing various Junior Data Strategy job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $66,690 per year, or $32.1 per hour.

Junior Data Engineer

Sequoia Connect

Atlanta, GA โ€ข On-site, Remote

Full-time

Posted 2 days ago

New


Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Junior Data Engineer:
The Challenge (Responsibilities)
  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.