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Data Analyst Specialist Jobs (NOW HIRING)

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Core Qualifications * 3+ years of data science / ML experience * Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Analytics, or a related quantitative field - or an ...

pathwayRP

Data Analyst Specialist

Wilton, CT · On-site

... data architecture design, conversion and testing Strong organizational, analytical, communication and technical writing skills Ability and comfort level researching emerging issues, including ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Analyzes data, assesses trends and develops actionable insights and recommendations in support of business objectives. Trains and develops junior analysts. Core Responsibilities 1. Engages with ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Our work includes data preparation and transformation, discovery analysis, experimental design, campaign measurement, dashboard development, and strategic recommendations sourced from the data. The ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

This data analyst role will play a pivotal part in transforming complex data into clear, compelling narratives and actionable insights that support strategic initiatives,optimizethe productivity of ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Performs analyses of data from multiple sources to surface trends and insights using advanced analytical methods and machine learning. Validates analytical techniques employed by other analysts.

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

Core Qualifications * 3+ years of data science / ML experience * Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Analytics, or a related quantitative field - or an ...

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

PM2CM

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

We are looking for a Senior Data Analyst Specialist to join our team at PM2CM. In this role, you will be responsible for analyzing complex data sets to drive strategic decision-making across various ...

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All JobsData Analyst Specialist Jobs

Data Analyst Specialist information

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$81.5K

$140K

How much do data analyst specialist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst Specialist, you need strong analytical skills, proficiency in statistical analysis, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and advanced Excel functions is typically required. Attention to detail, effective communication, and problem-solving abilities are vital soft skills that help convey insights and collaborate with stakeholders. These competencies are crucial for accurately interpreting data, driving informed decisions, and delivering actionable business recommendations.

What is a data analyst specialist?

Data Analyst Specialists are professionals who collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex data sets, identify trends, and provide actionable insights. Their work often involves data cleaning, visualization, and reporting to support business strategies. Data Analyst Specialists play a crucial role in improving efficiency and driving growth by transforming raw data into meaningful information.

What are some common challenges data analyst specialists face when working with large datasets, and how are they typically addressed?

Data Analyst Specialists often encounter challenges such as data quality issues, inconsistent formats, and missing values when working with large datasets. Addressing these requires strong data cleaning and preprocessing skills, as well as familiarity with tools like SQL, Python, or R. Collaboration with data engineers and domain experts is also key to understanding data context and ensuring accuracy. Regular communication and iterative validation help ensure that analyses are reliable and actionable.

Can I be a data analyst specialist with no experience?

Becoming a data analyst specialist typically requires some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for those with relevant coursework, certifications, or strong analytical skills. Gaining practical experience through internships or projects can improve your chances of qualifying for such roles.
More about Data Analyst Specialist jobs
What cities are hiring for Data Analyst Specialist jobs? Cities with the most Data Analyst Specialist job openings:
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Data Analyst Specialist jobs near you
Infographic showing various Data Analyst Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Data Analyst, Specialist

Vangard, Inc.

Malvern, PA

Full-time

Re-posted 5 days ago

Job description

Role Summary

In this role,you will help turn data into decisions by combining strong technical execution with growing business awareness and communication skills.Working alongside moreseniorscientists and cross-functional partners, you will contribute to solving real business problems and learn how analytics connects to outcomes.

You'llown well-defined components - a model, a feature pipeline, an analysis - while developing the ability to understand stakeholder needs, ask the right questions, and explain your work clearly so others can act on it. The problems will often arrive partially framed; your role is to execute rigorously while building the judgment to connect technical outputs to business value.

This is a hands-on, growth-oriented role on cross-functional teams whereyou'llbuild both technical depth and the communication skills needed to become a trusted analytics partner over time.

WhatYou'llDo

Explain your work clearly to technical and non-technical teammates.Communicatemethods, results, andlimitationsso findings are understood, trusted, and usable in decision-making.

Build well-scoped models and analyses. Develop andvalidatemodels on defined problems such as feature engineering, model fitting, calibration, and validation with guidance on approach and standards.

Wrangle and prepare data. Access, transform, clean, and document large-scale data;identifyand diagnose inconsistencies and gaps.

Contribute to production. Help deploy and monitor models alongside MLE and engineering, learning the discipline of keeping a live model healthy.

Runexperiments others design. Execute designed experiments and analyses correctly and interpret the results.

Explain your work clearly.Communicate methods, results, and caveats to your team so findings can be trusted and built on.

Use AI to work faster. Apply AI coding and analysis assistants to accelerate your own work, while learning to evaluate their output critically.

Learnthe practice. Absorb standards and patterns from senior teammates and contribute to a growing, AI-native analytics community.

Core Qualifications

  • 3+ years of data science / ML experience

  • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Analytics, or a related quantitative field - or an equivalent combination of training and experience.Graddegree preferred.

  • Workingproficiencyin Python and SQL and comfort wrangling real, messy data.

  • Solid foundation in statistical and machine learning methods and an understanding of model validation.

  • Exposure to cloud environments (AWS, Azure, or GCP) and standard tooling (e.g., Git,Jupyter).

  • Clear communication anda strong desireto learn.

Building for the Age of AI

We expect this role to use modern AI tools fluently and to grow intobuildingwith them. Strength or genuine curiosity in several of the following is whatwe'relooking for:

  • Working with GenAI / LLMs: comfort using retrieval-augmented generation (RAG), embeddings, and prompting following established patterns.

  • Building alongside agentic systems: contributing to LLM/agent workflows that someone more senior has architected.

  • Evaluation basics: helping testmodeland LLM output against defined quality metrics.

  • Experimentation fundamentals: understanding the difference between what predicts an outcome and what changes it.

  • AI-augmented working style: using AI coding assistants to move faster while sanity-checking their output rather than trusting it by default.

Preferred / Nice to Have

  • Project or coursework experience with recommendation, ranking, or decision-support problems.

  • Familiarity withnotebooks-to-production workflows and version control.

  • Exposure tobig-dataframeworks (Spark, etc.).

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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