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Data Analyst Mid Level Jobs (NOW HIRING)

GRVTY

Data Analyst - Mid

Falls Church, VA

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis ...

GRVTY

Data Analyst - Mid

Falls Church, VA

$110K - $150K/yr

Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation capabilities * Apply statistical and analytic methods to support: * Answer intelligence questions and ...

1 point system

Mid-Level Data Analyst

Chicago, IL · On-site

2 round interview both virtual • Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies. • Supports the development and distribution of daily ...

USAA

Reinsurance Analyst (Mid-Level)

Charlotte, NC · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Reinsurance Analyst (Mid-Level)

Charlotte, NC · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Financial Analyst (Mid-Level)

San Antonio, TX · On-site +1

$77K - $147K/yr

The Opportunity As a dedicated Financial Analyst (Mid-Level), you'll be responsible for solving ... Experience using Microsoft Office Excel for financial data analysis. * Experience working with ...

USAA

Reinsurance Analyst (Mid-Level)

Plano, TX · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Reinsurance Analyst (Mid-Level)

San Antonio, TX · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Reinsurance Analyst (Mid-Level)

Phoenix, AZ · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

USAA

Reinsurance Analyst (Mid-Level)

Plano, TX · On-site +1

The Opportunity As a dedicated Reinsurance Analyst (Mid-Level) , you will support reinsurance ... Administers complex reinsurance, processes routine claims, validates data, files, systems ...

New

Booz Allen Hamilton

Signals Data Analyst, Mid

Aurora, CO · On-site

$69K - $158K/yr

Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to close discovery gaps, optimize client systems, and enhance the client's ability to pursue essential data.

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All JobsData Analyst Mid Level Jobs

Data Analyst Mid Level information

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$34K

$82.6K

$136K

How much do data analyst mid level jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data analyst mid level 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.

Is 40 too late for data science?

For a mid-level data analyst, starting a career in data science at age 40 is feasible, especially if you have relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data roles later in life by gaining certifications, building portfolios, and leveraging prior experience. Age is less a barrier than skills, continuous learning, and practical experience in the field.

What is a mid-level analyst?

A mid-level data analyst is a professional with several years of experience who analyzes data to identify trends, create reports, and support decision-making. They typically have proficiency in tools like Excel, SQL, and data visualization software, and may work under the supervision of senior analysts or managers.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a mid-level data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are less likely to be fully replaced by AI in the near term.

What jobs make $1,000,000 a year?

In the field of data analysis, earning $1,000,000 annually is uncommon and typically requires senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings in this field usually involve extensive experience, advanced skills in analytics tools, and leadership responsibilities within large organizations or consulting firms.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

More about Data Analyst Mid Level jobs
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What job categories do people searching Data Analyst Mid Level jobs look for? The top searched job categories for Data Analyst Mid Level jobs are:
Data Analyst Mid Level jobs near you

Data Analyst - Mid

GRVTY

Falls Church, VA

Other

Posted 19 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis in direct support of Machine Learning model development. The ideal candidate brings strong analytical skills and a passion for transforming complex geospatial data into actionable insights and data-driven recommendations. This role plays a critical part in improving preprocessing productivity and advancing mission outcomes for the DoW and Intelligence Community.

What You'll be Owning

  • Work to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity
  • Lead and conduct projects using advanced mathematical, statistical, and scientific techniques to:
    • Examine complex mission and operational problem sets
    • Create insights from large, complex datasets
  • Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation capabilities
  • Apply statistical and analytic methods to support:
    • Answer intelligence questions and mission requirements
    • Advanced data analysis initiatives
  • Build lightweight analytic tools to:
    • Visualize data metrics
    • Assess progress of data preprocessing efforts against customer goals
  • Design methods and mechanisms to track, report, and monitor data to ensure pipeline movements are timely and support all necessary processes
  • Develop systems to provide automated checks on data and processes to guarantee continuous pipeline support
  • Ingest and rectify non-standard data and data in formats new within the Data Management Platform (DMP) for integration and curation
  • Generate and manage data dictionaries to ensure information stays updated as data tables change
  • Provide data analysis expertise to determine whether imagery curation techniques and strategies are effective in identifying images of value, including:
    • Images containing set criteria
    • Images meeting specific imagery characteristics

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • Experienced in preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets
  • Experience with programming languages and tools including:
    • Python
    • R
    • SQL
    • GIS
    • Tableau
  • Experience developing visualizations to communicate analytical results to technical audiences and non-technical stakeholders

What Would be Nice to Have

  • Experience working in AI/ML-relevant fields related to imagery exploitation

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